diff --git a/docs/api.rst b/docs/api.rst
index dcd1ab0..85691f6 100644
--- a/docs/api.rst
+++ b/docs/api.rst
@@ -34,6 +34,7 @@ parse
      the cost details. Sample file available at ``tests/api_cost_mapping.json``
    * ``router_priority`` (str): What the routing strategy should prioritize. Options are ``"speed"`` and ``"accuracy"``. The router directs a file to either ``"STATIC_PARSE"`` or ``"LLM_PARSE"`` based on its type and the selected priority. If priority is "accuracy", it prefers LLM_PARSE unless the PDF has no images but contains embedded/hidden hyperlinks, in which case it uses ``STATIC_PARSE`` (because LLMs currently fail to parse hidden hyperlinks). If priority is "speed", it uses ``STATIC_PARSE`` for documents without images and ``LLM_PARSE`` for documents with images.
    * ``api_provider`` (str): The API provider to use for LLM parsing. Options are ``gemini``, ``openai``, ``claude``, ``huggingface``, ``together``, ``openrouter``, and ``fireworks``. This parameter is only relevant when using LLM parsing.
+   * ``return_bboxes`` (bool): Whether to return bounding box information for each text segment. Default is ``False``.
 
    Return value format:
    A dictionary containing a subset or all of the following keys:
diff --git a/docs/conf.py b/docs/conf.py
index 9a9d90e..4823217 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -9,7 +9,7 @@
 project = "Lexoid"
 copyright = "2025, Lexoid Contributors"
 author = "Lexoid Contributors"
-release = "0.1.15"
+release = "0.1.17"
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
diff --git a/docs/index.rst b/docs/index.rst
index c61592c..f4d9e78 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -24,6 +24,7 @@ Key Features
 * Multi-format support
 * Parallel processing support
 * Permissive license
+* Reference highlighting and bounding box extraction
 
 Supported API Providers
 -----------------------
diff --git a/examples/example_notebook_reference_highlight.ipynb b/examples/example_notebook_reference_highlight.ipynb
index 4caf75d..c82111a 100644
--- a/examples/example_notebook_reference_highlight.ipynb
+++ b/examples/example_notebook_reference_highlight.ipynb
@@ -18,8 +18,8 @@
    "source": [
     "import cv2\n",
     "\n",
-    "from lexoid.core.conversion_utils import convert_doc_to_base64_images, base64_to_cv2_image\n",
     "from lexoid.api import parse\n",
+    "from lexoid.core.conversion_utils import convert_doc_to_base64_images, base64_to_np_array\n",
     "from lexoid.core.utils import find_bboxes_for_substring, visualize_bounding_boxes"
    ]
   },
@@ -28,63 +28,193 @@
    "execution_count": 2,
    "id": "dd192666",
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_path = \"inputs/test_1.pdf\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "694e4e5c",
+   "metadata": {},
+   "source": [
+    "Convert document to image for visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "49933322",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "page_images = convert_doc_to_base64_images(pdf_path)\n",
+    "_, b64_img = page_images[0]\n",
+    "cv2_img = base64_to_np_array(b64_img)\n",
+    "rgb_img = cv2.cvtColor(cv2_img, cv2.COLOR_BGR2RGB)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "65ebb0b8",
+   "metadata": {},
+   "source": [
+    "## With `STATIC_PARSE`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba8a9273",
+   "metadata": {},
+   "source": [
+    "Extract content with `pdfplumber` (default for `framework`) and extract bounding boxes with `pdfplumber`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c70cccb7",
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2025-09-09 12:44:33.725\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.core.utils\u001b[0m:\u001b[36mis_supported_file_type\u001b[0m:\u001b[36m64\u001b[0m - \u001b[34m\u001b[1mFile type: application/pdf\u001b[0m\n",
-      "\u001b[32m2025-09-09 12:44:33.730\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m118\u001b[0m - \u001b[34m\u001b[1mUsing static parser\u001b[0m\n"
+      "\u001b[32m2025-09-26 18:46:29.727\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.core.utils\u001b[0m:\u001b[36mis_supported_file_type\u001b[0m:\u001b[36m64\u001b[0m - \u001b[34m\u001b[1mFile type: application/pdf\u001b[0m\n",
+      "\u001b[32m2025-09-26 18:46:29.738\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m123\u001b[0m - \u001b[34m\u001b[1mUsing static parser\u001b[0m\n",
+      "\u001b[32m2025-09-26 18:46:29.867\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m137\u001b[0m - \u001b[34m\u001b[1mExtracting bounding boxes...\u001b[0m\n"
      ]
     }
    ],
    "source": [
-    "pdf_path = \"inputs/test_1.pdf\"\n",
-    "result = parse(pdf_path, parser_type=\"STATIC_PARSE\")"
+    "result_pdfplumber = parse(pdf_path, parser_type=\"STATIC_PARSE\", return_bboxes=True, bbox_framework=\"pdfplumber\")\n",
+    "segment_pdfplumber = result_pdfplumber[\"segments\"][0]\n",
+    "content_pdfplumber = segment_pdfplumber[\"content\"]\n",
+    "bboxes_pdfplumber = segment_pdfplumber[\"bboxes\"]\n",
+    "# Inference time: 0.1s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d006fb9e",
+   "metadata": {},
+   "source": [
+    "Extract content with `pdfplumber` (default for `framework`) and extract bounding boxes with `paddleocr`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "49933322",
+   "execution_count": null,
+   "id": "f7a1f4bc",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2025-09-26 18:46:29.949\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.core.utils\u001b[0m:\u001b[36mis_supported_file_type\u001b[0m:\u001b[36m64\u001b[0m - \u001b[34m\u001b[1mFile type: application/pdf\u001b[0m\n",
+      "\u001b[32m2025-09-26 18:46:29.956\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m123\u001b[0m - \u001b[34m\u001b[1mUsing static parser\u001b[0m\n",
+      "/home/dilith/Projects/oidlabs/pdf-parser/.venv/lib/python3.12/site-packages/paddle/utils/cpp_extension/extension_utils.py:718: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md\n",
+      "  warnings.warn(warning_message)\n",
+      "\u001b[32mCreating model: ('PP-LCNet_x1_0_doc_ori', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/PP-LCNet_x1_0_doc_ori`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('UVDoc', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/UVDoc`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('PP-OCRv5_server_det', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/PP-OCRv5_server_det`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('en_PP-OCRv5_mobile_rec', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/en_PP-OCRv5_mobile_rec`.\u001b[0m\n"
+     ]
+    }
+   ],
    "source": [
-    "page_images = convert_doc_to_base64_images(pdf_path)\n",
-    "_, b64_img = page_images[0]\n",
-    "cv2_img = base64_to_cv2_image(b64_img)\n",
-    "rgb_img = cv2.cvtColor(cv2_img, cv2.COLOR_BGR2RGB)"
+    "result_paddleocr = parse(pdf_path, parser_type=\"STATIC_PARSE\", return_bboxes=True, bbox_framework=\"paddleocr\")\n",
+    "segment_paddleocr = result_paddleocr[\"segments\"][0]\n",
+    "content_paddleocr = segment_paddleocr[\"content\"]\n",
+    "bboxes_paddleocr = segment_paddleocr[\"bboxes\"]\n",
+    "# Inference time: 29.3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d780c2f",
+   "metadata": {},
+   "source": [
+    "### Fuzzy detection - PDFPlumber"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad2368e1",
+   "metadata": {},
+   "source": [
+    "Get the bounding boxes for the specified substring with a maximum Levenshtein edit distance of 3."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "ed010db2",
+   "execution_count": null,
+   "id": "e2f071ff",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 3 bounding boxes: [(0.34460764705882363, 0.14481848484848484, 0.35709921568627456, 0.1649699999999999), (0.36304509803921575, 0.14481848484848484, 0.4106121568627451, 0.1649699999999999), (0.4165580392156863, 0.14481848484848484, 0.47721647058823524, 0.1649699999999999)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "seg_idx = 0\n",
-    "segment = result[\"segments\"][seg_idx]\n",
-    "content = segment[\"content\"]\n",
-    "bboxes = segment[\"bboxes\"]"
+    "substring = \"a data table\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes_pdfplumber, content_pdfplumber, substring, max_edit_distance=3)\n",
+    "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
+    "\n",
+    "visualize_bounding_boxes(rgb_img, matched_bboxes)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b198e43",
+   "metadata": {},
+   "source": [
+    "### Fuzzy detection - PaddleOCR"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38f86d45",
+   "metadata": {},
+   "source": [
+    "Get the bounding boxes for the specified substring with a maximum Levenshtein edit distance of 3."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "27f0cccc",
+   "execution_count": 7,
+   "id": "95d9c538",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Found 5 bounding boxes: [(0.22055254901960786, 0.14481848484848484, 0.3109664705882354, 0.1649699999999999), (0.31699058823529425, 0.14481848484848484, 0.3386617647058824, 0.1649699999999999), (0.34460764705882363, 0.14481848484848484, 0.35709921568627456, 0.1649699999999999), (0.36304509803921575, 0.14481848484848484, 0.4106121568627451, 0.1649699999999999), (0.4165580392156863, 0.14481848484848484, 0.47721647058823524, 0.1649699999999999)]\n"
+      "Found 3 bounding boxes: [[0.3352007469654529, 0.14393939393939395, 0.34821428571428575, 0.16508838383838384], [0.34821428571428575, 0.14393939393939395, 0.4002684407096172, 0.16508838383838384], [0.4002684407096172, 0.14393939393939395, 0.4783496732026144, 0.16508838383838384]]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1200 with 1 Axes>"
       ]
@@ -94,29 +224,45 @@
     }
    ],
    "source": [
-    "substring = \"example of a data table.\"\n",
-    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, fuzzy=True)\n",
+    "substring = \"a data table\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes_paddleocr, content_paddleocr, substring)\n",
     "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
     "\n",
     "visualize_bounding_boxes(rgb_img, matched_bboxes)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5282db0c",
+   "metadata": {},
+   "source": [
+    "### Multi-word matching - PDFPlumber"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36acb0fd",
+   "metadata": {},
+   "source": [
+    "Get the bounding boxes for all instances of the specified substring"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "e1dd6f8c",
+   "execution_count": 11,
+   "id": "ae3d9e9a",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Found 3 bounding boxes: [(0.7894117647058824, 0.21915151515151512, 0.8298627450980393, 0.2343030303030303), (0.8343137254901961, 0.21915151515151512, 0.8517254901960783, 0.2343030303030303), (0.7821568627450981, 0.24036363636363628, 0.8588823529411764, 0.2555151515151514)]\n"
+      "Found 2 bounding boxes: [(0.3911764705882353, 0.20339393939393935, 0.446843137254902, 0.21854545454545451), (0.5088235294117647, 0.19415151515151519, 0.5644901960784314, 0.20930303030303035)]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1000x1200 with 1 Axes>"
       ]
@@ -126,22 +272,45 @@
     }
    ],
    "source": [
-    "substring = \"Time 2 complete\" # Instead of \"Time to complete\"\n",
-    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, fuzzy=True)\n",
+    "substring = \"Ballots\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes_pdfplumber, content_pdfplumber, substring, match_mode=\"all_matches\")\n",
     "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
     "\n",
     "visualize_bounding_boxes(rgb_img, matched_bboxes)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2e2aac14",
+   "metadata": {},
+   "source": [
+    "### Multi-word matching - PaddleOCR (+ highlighting)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a84f76df",
+   "metadata": {},
+   "source": [
+    "Get and highlight the bounding boxes for all instances of the specified substring"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "0edcb11b",
+   "execution_count": 12,
+   "id": "9c22f196",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 2 bounding boxes: [[0.7047930283224401, 0.3731060606060606, 0.7324346405228758, 0.3841540404040404], [0.8512757667169432, 0.37279040404040403, 0.877859477124183, 0.38446969696969696]]\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1200 with 1 Axes>"
       ]
@@ -151,25 +320,94 @@
     }
    ],
    "source": [
+    "substring = \"n=4\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes_paddleocr, content_paddleocr, substring, match_mode=\"all_matches\")\n",
+    "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
+    "\n",
     "visualize_bounding_boxes(rgb_img, matched_bboxes, highlight=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b3534c72",
+   "metadata": {},
+   "source": [
+    "## With `LLM_PARSE`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5724acb2",
+   "metadata": {},
+   "source": [
+    "Extract content with `gemini-2.0-flash` (default for `model`) and extract bounding boxes with `paddleocr`."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "3320373f",
+   "execution_count": 13,
+   "id": "a9dcadbc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2025-09-26 18:25:55.018\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.core.utils\u001b[0m:\u001b[36mis_supported_file_type\u001b[0m:\u001b[36m65\u001b[0m - \u001b[34m\u001b[1mFile type: application/pdf\u001b[0m\n",
+      "\u001b[32m2025-09-26 18:25:55.027\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m126\u001b[0m - \u001b[34m\u001b[1mUsing LLM parser\u001b[0m\n",
+      "\u001b[32m2025-09-26 18:25:59.973\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mlexoid.api\u001b[0m:\u001b[36mparse_chunk\u001b[0m:\u001b[36m137\u001b[0m - \u001b[34m\u001b[1mExtracting bounding boxes...\u001b[0m\n",
+      "\u001b[32mCreating model: ('PP-LCNet_x1_0_doc_ori', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/PP-LCNet_x1_0_doc_ori`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('UVDoc', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/UVDoc`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('PP-OCRv5_server_det', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/PP-OCRv5_server_det`.\u001b[0m\n",
+      "\u001b[32mCreating model: ('en_PP-OCRv5_mobile_rec', None)\u001b[0m\n",
+      "\u001b[32mModel files already exist. Using cached files. To redownload, please delete the directory manually: `/home/dilith/.paddlex/official_models/en_PP-OCRv5_mobile_rec`.\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = parse(pdf_path, parser_type=\"LLM_PARSE\", return_bboxes=True, bbox_framework=\"paddleocr\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ed010db2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seg_idx = 0\n",
+    "segment = result[\"segments\"][seg_idx]\n",
+    "content = segment[\"content\"]\n",
+    "bboxes = segment[\"bboxes\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f8e2beb2",
+   "metadata": {},
+   "source": [
+    "### Fuzzy detection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "27f0cccc",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Found 2 bounding boxes: [(0.3911764705882353, 0.20339393939393935, 0.446843137254902, 0.21854545454545451), (0.5088235294117647, 0.19415151515151519, 0.5644901960784314, 0.20930303030303035)]\n"
+      "Found 3 bounding boxes: [[0.7867647058823529, 0.21938131313131312, 0.8308823529411764, 0.2326388888888889], [0.8308823529411764, 0.21938131313131312, 0.8529411764705882, 0.2326388888888889], [0.7806372549019608, 0.24116161616161616, 0.8598856209150327, 0.25441919191919193]]\n"
      ]
     },
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1000x1200 with 1 Axes>"
       ]
@@ -179,20 +417,73 @@
     }
    ],
    "source": [
-    "substring = \"Ballots\"\n",
-    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, all_matches=True)\n",
+    "substring = \"Time 2 complete\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring)\n",
     "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
     "\n",
     "visualize_bounding_boxes(rgb_img, matched_bboxes)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "62616429",
+   "metadata": {},
+   "source": [
+    "## Multi-word matching"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "9b6d375b",
+   "execution_count": 16,
+   "id": "e1dd6f8c",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 2 bounding boxes: [[0.7047930283224401, 0.3731060606060606, 0.7324346405228758, 0.3841540404040404], [0.8512757667169432, 0.37279040404040403, 0.877859477124183, 0.38446969696969696]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "substring = \"n=4\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, match_mode=\"all_matches\")\n",
+    "print(f\"Found {len(matched_bboxes)} bounding boxes:\", matched_bboxes)\n",
+    "\n",
+    "visualize_bounding_boxes(rgb_img, matched_bboxes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "0edcb11b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "visualize_bounding_boxes(rgb_img, matched_bboxes, highlight=True)"
+   ]
   },
   {
    "cell_type": "code",
diff --git a/lexoid/api.py b/lexoid/api.py
index 7893ffe..a85da1d 100644
--- a/lexoid/api.py
+++ b/lexoid/api.py
@@ -29,6 +29,7 @@
     LATEX_USER_PROMPT,
 )
 from lexoid.core.utils import (
+    bbox_router,
     create_sub_pdf,
     download_file,
     get_webpage_soup,
@@ -55,7 +56,7 @@ def wrapper(*args, **kwargs):
             if len(args) > 1:
                 if args[1] == ParserType.AUTO:
                     router_priority = kwargs.get("router_priority", "speed")
-                    autoselect_llm = kwargs.get("autoselect_llm", True)
+                    autoselect_llm = kwargs.get("autoselect_llm", False)
                     routed_parser_type, model = router(
                         kwargs["path"], router_priority, autoselect_llm=autoselect_llm
                     )
@@ -69,18 +70,16 @@ def wrapper(*args, **kwargs):
                 kwargs["parser_type"] = parser_type
             return func(**kwargs)
         except Exception as e:
-            if kwargs.get("parser_type") == ParserType.LLM_PARSE and kwargs.get(
-                "routed", False
-            ):
+            parse_type = kwargs.get("parser_type")
+            routed = kwargs.get("routed", False)
+            if parse_type == ParserType.LLM_PARSE and routed:
                 logger.warning(
                     f"LLM_PARSE failed with error: {e}. Retrying with STATIC_PARSE."
                 )
                 kwargs["parser_type"] = ParserType.STATIC_PARSE
                 kwargs["routed"] = False
                 return func(**kwargs)
-            elif kwargs.get("parser_type") == ParserType.STATIC_PARSE and kwargs.get(
-                "routed", False
-            ):
+            elif parse_type == ParserType.STATIC_PARSE and routed:
                 logger.warning(
                     f"STATIC_PARSE failed with error: {e}. Retrying with LLM_PARSE."
                 )
@@ -128,6 +127,23 @@ def parse_chunk(path: str, parser_type: ParserType, **kwargs) -> Dict:
         result = parse_llm_doc(path, **kwargs)
 
     result["parser_used"] = parser_type
+
+    return_bboxes = kwargs.get("return_bboxes", False)
+    has_bboxes = bool(result["segments"][0].get("bboxes"))
+    bbox_framework = kwargs.get("bbox_framework", None)
+    framework = kwargs.get("framework", None)
+    bbox_framework_different = bbox_framework and bbox_framework != framework
+    if return_bboxes and (not has_bboxes or bbox_framework_different):
+        logger.debug("Extracting bounding boxes...")
+        if kwargs.get("bbox_framework", "auto") == "auto":
+            kwargs["bbox_framework"] = bbox_router(path)
+        kwargs["parser_type"] = ParserType.STATIC_PARSE
+        kwargs["framework"] = kwargs["bbox_framework"]
+        result_static = parse_static_doc(path, **kwargs)
+        for i, segment in enumerate(result["segments"]):
+            if i < len(result_static["segments"]):
+                segment["bboxes"] = result_static["segments"][i].get("bboxes", [])
+
     return result
 
 
diff --git a/lexoid/core/conversion_utils.py b/lexoid/core/conversion_utils.py
index 73fe238..4afb139 100644
--- a/lexoid/core/conversion_utils.py
+++ b/lexoid/core/conversion_utils.py
@@ -61,10 +61,22 @@ def convert_doc_to_base64_images(path: str) -> List[Tuple[int, str]]:
             return [(0, f"data:image/png;base64,{image_base64}")]
 
 
-def base64_to_cv2_image(b64_string: str) -> np.ndarray:
+def base64_to_bytesio(b64_string: str) -> io.BytesIO:
     image_data = base64.b64decode(b64_string.split(",")[1])
-    image = Image.open(io.BytesIO(image_data)).convert("L")  # grayscale
-    return np.array(image)
+    return io.BytesIO(image_data)
+
+
+def base64_to_pil_image(b64_string: str) -> Image.Image:
+    return Image.open(base64_to_bytesio(b64_string))
+
+
+def base64_to_np_array(b64_string: str, gray_scale: bool = True) -> np.ndarray:
+    pil_image = base64_to_pil_image(b64_string)
+    if gray_scale:
+        image = pil_image.convert("L")
+        return np.array(image)
+    else:
+        return np.array(pil_image)
 
 
 def cv2_to_pil(cv2_image: np.ndarray) -> Image.Image:
diff --git a/lexoid/core/llm_selector.py b/lexoid/core/llm_selector.py
index a50fea7..aef2732 100644
--- a/lexoid/core/llm_selector.py
+++ b/lexoid/core/llm_selector.py
@@ -16,9 +16,9 @@
 from transformers import CLIPModel, CLIPProcessor
 
 from lexoid.core.conversion_utils import (
+    base64_to_np_array,
     convert_doc_to_base64_images,
     cv2_to_pil,
-    base64_to_cv2_image,
 )
 
 # ====================== Image Feature Extraction ======================
@@ -118,7 +118,7 @@ def extract_page_features(img: np.ndarray) -> List[float]:
 
 def extract_doc_features(doc_path: str) -> List[float]:
     page_data = convert_doc_to_base64_images(doc_path)
-    features = [extract_page_features(base64_to_cv2_image(b64)) for _, b64 in page_data]
+    features = [extract_page_features(base64_to_np_array(b64)) for _, b64 in page_data]
     features = np.array(features)
     return features.mean(axis=0)
 
@@ -141,7 +141,7 @@ def extract_image_embedding(
     embeddings = []
 
     for _, b64 in page_data:
-        cv2_img = base64_to_cv2_image(b64)
+        cv2_img = base64_to_np_array(b64)
         pil_img = cv2_to_pil(cv2_img)
         inputs = processor(images=pil_img, return_tensors="pt").to(device)
 
diff --git a/lexoid/core/parse_type/static_parser.py b/lexoid/core/parse_type/static_parser.py
index c57f1ac..9c5f9b7 100644
--- a/lexoid/core/parse_type/static_parser.py
+++ b/lexoid/core/parse_type/static_parser.py
@@ -9,16 +9,21 @@
 import pdfplumber
 from docx import Document
 from loguru import logger
+from paddleocr import PaddleOCR
 from pdfminer.high_level import extract_pages
 from pdfminer.layout import LTTextContainer
 from pdfplumber.utils import get_bbox_overlap, obj_to_bbox
 from pptx2md import ConversionConfig, convert
 
-
+from lexoid.core.conversion_utils import (
+    base64_to_np_array,
+    convert_doc_to_base64_images,
+)
 from lexoid.core.utils import (
     get_file_type,
     get_uri_rect,
     html_to_markdown,
+    split_bbox_by_word_length,
     split_md_by_headings,
     split_pdf,
 )
@@ -30,20 +35,17 @@ def wrapper(*args, **kwargs):
         try:
             return func(*args, **kwargs)
         except Exception as e:
-            if "pdfplumber" in kwargs.get("framework", "pdfplumber") and not kwargs.get(
-                "routed", False
-            ):
-                kwargs["framework"] = "pdfminer"
+            framework = kwargs.get("framework", "pdfplumber")
+            if framework != "pdfplumber":
+                kwargs["framework"] = "pdfplumber"
                 logger.warning(
-                    f"Retrying with pdfminer due to error: {e}. Original framework: {kwargs['framework']}"
+                    f"Retrying with pdfplumber due to error: {e}. Original framework: {framework}"
                 )
                 return func(*args, **kwargs)
-            elif "pdfminer" in kwargs.get("framework", "pdfplumber") and not kwargs.get(
-                "routed", False
-            ):
-                kwargs["framework"] = "pdfplumber"
+            elif framework != "paddleocr":
+                kwargs["framework"] = "paddleocr"
                 logger.warning(
-                    f"Retrying with pdfplumber due to error: {e}. Original framework: {kwargs['framework']}"
+                    f"Retrying with paddleocr due to error: {e}. Original framework: {framework}"
                 )
                 return func(*args, **kwargs)
             else:
@@ -81,8 +83,12 @@ def parse_static_doc(path: str, **kwargs) -> Dict:
             return parse_with_pdfplumber(path, **kwargs)
         elif framework == "pdfminer":
             return parse_with_pdfminer(path, **kwargs)
+        elif framework == "paddleocr":
+            return parse_with_paddleocr(path, **kwargs)
         else:
             raise ValueError(f"Unsupported framework: {framework}")
+    elif "image" in file_type:
+        return parse_with_paddleocr(path, **kwargs)
     elif "wordprocessing" in file_type:
         return parse_with_docx(path, **kwargs)
     elif file_type == "text/html":
@@ -722,3 +728,69 @@ def parse_with_docx(path: str, **kwargs) -> Dict:
         "parent_title": kwargs.get("parent_title", ""),
         "recursive_docs": [],
     }
+
+
+def parse_with_paddleocr(path: str, **kwargs) -> Dict:
+    """
+    Parse document using PaddleOCR and return bboxes.
+
+    Args:
+        path (str): Path to the PDF document.
+
+    Returns:
+        Dict: Dictionary containing parsed document data with segments per page.
+    """
+    ocr = PaddleOCR(use_textline_orientation=False, lang="en")
+
+    base64_images = convert_doc_to_base64_images(path)
+
+    segments = []
+    all_texts = []
+
+    for page_num, base64_img_str in base64_images:
+        image_np = base64_to_np_array(base64_img_str, gray_scale=False)
+
+        results = ocr.predict(image_np, use_doc_unwarping=False)
+
+        page_texts = []
+        page_bboxes = []
+
+        height_img, width_img = image_np.shape[:2]
+        for text, bbox in zip(results[0]["rec_texts"], results[0]["dt_polys"]):
+            x_coords = bbox[:, 0]
+            y_coords = bbox[:, 1]
+            x_min = x_coords.min().item()
+            y_min = y_coords.min().item()
+            x_max = x_coords.max().item()
+            y_max = y_coords.max().item()
+
+            top = y_min / height_img
+            bottom = y_max / height_img
+            x0 = x_min / width_img
+            x1 = x_max / width_img
+
+            split_words = split_bbox_by_word_length([x0, top, x1, bottom], text)
+
+            for word_bbox, word_text in split_words:
+                page_texts.append(word_text)
+                page_bboxes.append((word_text, word_bbox))
+
+        page_text_str = " ".join(page_texts)
+        all_texts.append(page_text_str)
+
+        segments.append(
+            {
+                "metadata": {"page": kwargs.get("start", 1) + page_num},
+                "content": page_text_str,
+                "bboxes": page_bboxes,
+            }
+        )
+
+    return {
+        "raw": "\n\n".join(all_texts),
+        "segments": segments,
+        "title": kwargs.get("title", ""),
+        "url": kwargs.get("url", ""),
+        "parent_title": kwargs.get("parent_title", ""),
+        "recursive_docs": [],
+    }
diff --git a/lexoid/core/utils.py b/lexoid/core/utils.py
index e1f59c3..380cf53 100644
--- a/lexoid/core/utils.py
+++ b/lexoid/core/utils.py
@@ -7,19 +7,19 @@
 from typing import Dict, List, Optional, Tuple
 from urllib.parse import urlparse
 
-from matplotlib import pyplot as plt
 import nest_asyncio
 import numpy as np
 import pikepdf
 import requests
 from bs4 import BeautifulSoup
+from Levenshtein import distance
 from loguru import logger
 from markdown import markdown
 from markdownify import markdownify as md
+from matplotlib import pyplot as plt
 
 from lexoid.core.llm_selector import DocumentRankedLLMSelector
 
-
 HTML_TAG_PATTERN = re.compile("<.*?>|&([a-z0-9]+|#[0-9]{1,6}|#x[0-9a-f]{1,6});")
 
 
@@ -493,7 +493,7 @@ def is_api_key_set(api_provider: str) -> bool:
     return False
 
 
-def router(path: str, priority: str = "speed", autoselect_llm: bool = True) -> str:
+def router(path: str, priority: str = "speed", autoselect_llm: bool = False) -> str:
     """
     Routes the file path to the appropriate parser based on the file type.
 
@@ -548,6 +548,30 @@ def router(path: str, priority: str = "speed", autoselect_llm: bool = True) -> s
         return "LLM_PARSE", model_name
 
 
+def bbox_router(path: str) -> str:
+    """
+    Routes the file path to the appropriate bounding box extraction method based on the file type.
+
+    Args:
+        path (str): The file path to route.
+
+    Returns:
+        str: The parser to use for bounding box extraction (e.g., "paddleocr" or "pdfplumber")
+    """
+    file_type = get_file_type(path)
+    if file_type.startswith("image/"):
+        logger.debug("Using PaddleOCR for image file.")
+        return "paddleocr"
+    elif file_type == "application/pdf":
+        if has_image_in_pdf(path):
+            logger.debug("Using PaddleOCR for PDF with images.")
+            return "paddleocr"
+        else:
+            logger.debug("Using PDFPlumber for PDF without images.")
+            return "pdfplumber"
+    raise ValueError(f"No suitable bbox extraction method for file type: {file_type}")
+
+
 def get_uri_rect(path):
     with open(path, "rb") as fp:
         byte_str = str(fp.read())
@@ -578,34 +602,12 @@ def strip_markdown(text: str) -> str:
     return text
 
 
-def word_edit_distance(words1: List[str], words2: List[str]) -> int:
-    """
-    Compute the Levenshtein distance between two lists of words.
-    """
-    m, n = len(words1), len(words2)
-    dp = np.zeros((m + 1, n + 1), dtype=int)
-
-    for i in range(m + 1):
-        dp[i][0] = i
-    for j in range(n + 1):
-        dp[0][j] = j
-
-    for i in range(1, m + 1):
-        for j in range(1, n + 1):
-            if words1[i - 1] == words2[j - 1]:
-                dp[i][j] = dp[i - 1][j - 1]
-            else:
-                dp[i][j] = 1 + min(dp[i - 1][j], dp[i][j - 1], dp[i - 1][j - 1])
-
-    return dp[m][n]
-
-
 def find_bboxes_for_substring(
     bbox_dict: List[Tuple[str, Tuple[float, float, float, float]]],
     content: str,
     substring: str,
-    fuzzy: bool = False,
-    all_matches: bool = False,
+    match_mode: str = "fuzzy",
+    max_edit_distance: int = 3,
 ):
     """
     Given bounding boxes for words and a substring, return bounding boxes of words in the substring.
@@ -614,14 +616,13 @@ def find_bboxes_for_substring(
         bbox_dict (list): List of (word_with_markdown, bbox)
         content (str): Full markdown content
         substring (str): Substring to locate
-        fuzzy (bool): If True, finds the best approximate match (min word-level edit distance)
-        all_matches (bool): If True, return bounding boxes for all occurrences of the substring
+        match_mode (str): "fuzzy", "exact", or "all_matches" (default: "fuzzy"). "fuzzy" finds the best approximate match (min character-level edit distance), "exact" finds the exact match, "all_matches" returns bounding boxes for all occurrences of the substring
 
     Returns:
         List of bounding boxes corresponding to matched words
     """
-    normalized_content: List[str] = strip_markdown(content).split()
-    normalized_substring: List[str] = strip_markdown(substring).split()
+    normalized_content = strip_markdown(content).split()
+    normalized_substring = strip_markdown(substring).split()
     normalized_bboxes = [(strip_markdown(w).strip(), bbox) for w, bbox in bbox_dict]
 
     # Build mapping from word -> list of bboxes
@@ -634,10 +635,27 @@ def find_bboxes_for_substring(
     for word in normalized_content:
         if bbox_lookup[word]:
             ordered_bboxes.append((word, bbox_lookup[word].popleft()))
+        else:
+            ordered_bboxes.append((word, None))
+
+    # Greedy matching for words without a bbox using edit distance
+    if match_mode == "fuzzy":
+        for i, (word, bbox) in enumerate(ordered_bboxes):
+            if bbox is None:
+                best_word, best_bbox, best_dist = None, None, max_edit_distance + 1
+                # search over *remaining* words in bbox_lookup
+                for cand_word, bboxes in bbox_lookup.items():
+                    if bboxes:
+                        dist = distance(word, cand_word)
+                        if dist < best_dist:
+                            best_word, best_bbox, best_dist = cand_word, bboxes[0], dist
+                if best_bbox is not None:
+                    # assign the bbox and consume it
+                    ordered_bboxes[i] = (word, bbox_lookup[best_word].popleft())
 
     result = []
 
-    if not fuzzy:
+    if match_mode != "fuzzy":
         # Exact sliding window search
         for i in range(len(normalized_content) - len(normalized_substring) + 1):
             if (
@@ -647,19 +665,20 @@ def find_bboxes_for_substring(
                 bboxes = [
                     bbox
                     for (_, bbox) in ordered_bboxes[i : i + len(normalized_substring)]
+                    if bbox is not None
                 ]
-                if all_matches:
+                if match_mode == "all_matches":
                     result.extend(bboxes)
                 else:
                     return bboxes
         return result
     else:
-        # Fuzzy: find the substring window with minimum word-level edit distance
-        min_dist = float("inf")
+        # Fuzzy: find the substring window with minimum character-level edit distance
+        min_dist = max_edit_distance + 1
         best_start = None
         for i in range(len(normalized_content) - len(normalized_substring) + 1):
             window = normalized_content[i : i + len(normalized_substring)]
-            dist = word_edit_distance(window, normalized_substring)
+            dist = distance(" ".join(window), " ".join(normalized_substring))
             if dist < min_dist:
                 min_dist = dist
                 best_start = i
@@ -670,12 +689,9 @@ def find_bboxes_for_substring(
                 for (_, bbox) in ordered_bboxes[
                     best_start : best_start + len(normalized_substring)
                 ]
+                if bbox is not None
             ]
-            if all_matches:
-                # For fuzzy, we only have the best match, so just extend result once
-                result.extend(bboxes)
-            else:
-                return bboxes
+            return bboxes
 
         return result
 
@@ -770,3 +786,37 @@ def visualize_bounding_boxes(
 
     plt.axis("off")
     plt.show()
+
+
+def split_bbox_by_word_length(
+    bbox: List[float], text: str
+) -> List[Tuple[List[float], str]]:
+    """
+    Approximate splitting of a bounding box into multiple bounding boxes according to word lengths.
+
+    Args:
+        bbox (List[float]): Bounding box in format [x0, top, x1, bottom], normalized.
+        text (str): The detected text within this bounding box.
+
+    Returns:
+        List[Tuple[List[float], str]]: List of tuples with bounding box and corresponding single word text.
+    """
+    words = text.split()
+    if len(words) <= 1:
+        return [(bbox, text)]
+
+    x0, top, x1, bottom = bbox
+    total_width = x1 - x0
+
+    # Calculate the proportional width of each word based on its length
+    total_chars = sum(len(word) for word in words)
+    boxes = []
+    current_x = x0
+
+    for word in words:
+        word_width = total_width * (len(word) / total_chars)
+        word_bbox = [current_x, top, current_x + word_width, bottom]
+        boxes.append((word_bbox, word))
+        current_x += word_width
+
+    return boxes
diff --git a/poetry.lock b/poetry.lock
index 3441126..a0b5be5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand.
 
 [[package]]
 name = "accessible-pygments"
@@ -33,98 +33,98 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.12.14"
+version = "3.12.15"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-    {file = "aiohttp-3.12.14-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c875bf6fc2fd1a572aba0e02ef4e7a63694778c5646cdbda346ee24e630d30fb"},
-    {file = "aiohttp-3.12.14-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fbb284d15c6a45fab030740049d03c0ecd60edad9cd23b211d7e11d3be8d56fd"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38e360381e02e1a05d36b223ecab7bc4a6e7b5ab15760022dc92589ee1d4238c"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:aaf90137b5e5d84a53632ad95ebee5c9e3e7468f0aab92ba3f608adcb914fa95"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e532a25e4a0a2685fa295a31acf65e027fbe2bea7a4b02cdfbbba8a064577663"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eab9762c4d1b08ae04a6c77474e6136da722e34fdc0e6d6eab5ee93ac29f35d1"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abe53c3812b2899889a7fca763cdfaeee725f5be68ea89905e4275476ffd7e61"},
-    {file = "aiohttp-3.12.14-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5760909b7080aa2ec1d320baee90d03b21745573780a072b66ce633eb77a8656"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:02fcd3f69051467bbaa7f84d7ec3267478c7df18d68b2e28279116e29d18d4f3"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:4dcd1172cd6794884c33e504d3da3c35648b8be9bfa946942d353b939d5f1288"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:224d0da41355b942b43ad08101b1b41ce633a654128ee07e36d75133443adcda"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e387668724f4d734e865c1776d841ed75b300ee61059aca0b05bce67061dcacc"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:dec9cde5b5a24171e0b0a4ca064b1414950904053fb77c707efd876a2da525d8"},
-    {file = "aiohttp-3.12.14-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:bbad68a2af4877cc103cd94af9160e45676fc6f0c14abb88e6e092b945c2c8e3"},
-    {file = "aiohttp-3.12.14-cp310-cp310-win32.whl", hash = "sha256:ee580cb7c00bd857b3039ebca03c4448e84700dc1322f860cf7a500a6f62630c"},
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 ]
 
 [package.dependencies]
@@ -156,6 +156,25 @@ files = [
 frozenlist = ">=1.1.0"
 typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
+[[package]]
+name = "aistudio-sdk"
+version = "0.3.8"
+description = "Python client library for the AIStudio API"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "aistudio_sdk-0.3.8-py3-none-any.whl", hash = "sha256:bfc96af7243ac2ee3303014849aa4028717cce5afa622af8cfe3a1d44d1941d6"},
+]
+
+[package.dependencies]
+bce-python-sdk = "*"
+click = "*"
+prettytable = "*"
+psutil = "*"
+requests = "*"
+tqdm = "*"
+
 [[package]]
 name = "alabaster"
 version = "1.0.0"
@@ -182,14 +201,14 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.55.0"
+version = "0.60.0"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "anthropic-0.55.0-py3-none-any.whl", hash = "sha256:3518433fc0372a13f2b793b4cabecc7734ec9176e063a0f28dac19aa17c57f94"},
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 ]
 
 [package.dependencies]
@@ -202,20 +221,20 @@ sniffio = "*"
 typing-extensions = ">=4.10,<5"
 
 [package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
 vertex = ["google-auth[requests] (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.9.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+version = "4.10.0"
+description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
-    {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
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+    {file = "anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6"},
 ]
 
 [package.dependencies]
@@ -225,8 +244,6 @@ sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -331,16 +348,33 @@ files = [
 [package.extras]
 dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
+[[package]]
+name = "bce-python-sdk"
+version = "0.9.46"
+description = "BCE SDK for python"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
+groups = ["main"]
+files = [
+    {file = "bce_python_sdk-0.9.46-py3-none-any.whl", hash = "sha256:655074da6592ce8b036f605d9a272bfdcd1f515eb2f8e3f0333bb7cc62f700cb"},
+    {file = "bce_python_sdk-0.9.46.tar.gz", hash = "sha256:4bf01b22e6d172ccd94aa201f8bc6f2a98d0da4784160e77cfacfcc71c2686be"},
+]
+
+[package.dependencies]
+future = ">=0.6.0"
+pycryptodome = ">=3.8.0"
+six = ">=1.4.0"
+
 [[package]]
 name = "beautifulsoup4"
-version = "4.13.4"
+version = "4.13.5"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
 groups = ["main", "docs"]
 files = [
-    {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
-    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
+    {file = "beautifulsoup4-4.13.5-py3-none-any.whl", hash = "sha256:642085eaa22233aceadff9c69651bc51e8bf3f874fb6d7104ece2beb24b47c4a"},
+    {file = "beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695"},
 ]
 
 [package.dependencies]
@@ -383,197 +417,213 @@ files = [
 
 [[package]]
 name = "certifi"
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 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "docs"]
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 test-randomorder = ["pytest-randomly"]
 
+[[package]]
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+version = "0.12.1"
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+optional = false
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 [[package]]
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@@ -852,20 +1104,96 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
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 name = "frozenlist"
@@ -983,14 +1311,14 @@ files = [
 
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+version = "2025.9.0"
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 tqdm = ["tqdm"]
 
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 [package.extras]
 docs = ["Sphinx", "furo"]
-test = ["objgraph", "psutil"]
+test = ["objgraph", "psutil", "setuptools"]
 
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+    {file = "grpcio-1.74.0-cp39-cp39-win_amd64.whl", hash = "sha256:ecde9ab49f58433abe02f9ed076c7b5be839cf0153883a6d23995937a82392fa"},
+    {file = "grpcio-1.74.0.tar.gz", hash = "sha256:80d1f4fbb35b0742d3e3d3bb654b7381cd5f015f8497279a1e9c21ba623e01b1"},
 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.73.1)"]
+protobuf = ["grpcio-tools (>=1.74.0)"]
 
 [[package]]
 name = "grpcio-status"
@@ -1367,18 +1707,18 @@ trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httplib2"
-version = "0.22.0"
+version = "0.31.0"
 description = "A comprehensive HTTP client library."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 groups = ["main"]
 files = [
-    {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
-    {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
+    {file = "httplib2-0.31.0-py3-none-any.whl", hash = "sha256:b9cd78abea9b4e43a7714c6e0f8b6b8561a6fc1e95d5dbd367f5bf0ef35f5d24"},
+    {file = "httplib2-0.31.0.tar.gz", hash = "sha256:ac7ab497c50975147d4f7b1ade44becc7df2f8954d42b38b3d69c515f531135c"},
 ]
 
 [package.dependencies]
-pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0.2,<3.0.3 || >3.0.3,<4", markers = "python_version > \"3.0\""}
+pyparsing = ">=3.0.4,<4"
 
 [[package]]
 name = "httpx"
@@ -1456,13 +1796,47 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
+name = "imageio"
+version = "2.37.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "imageio-2.37.0-py3-none-any.whl", hash = "sha256:11efa15b87bc7871b61590326b2d635439acc321cf7f8ce996f812543ce10eed"},
+    {file = "imageio-2.37.0.tar.gz", hash = "sha256:71b57b3669666272c818497aebba2b4c5f20d5b37c81720e5e1a56d59c492996"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=8.3.2"
+
+[package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+rawpy = ["numpy (>2)", "rawpy"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
+
 [[package]]
 name = "imagesize"
 version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["docs"]
+groups = ["main", "docs"]
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
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@@ -1480,39 +1854,51 @@ files = [
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 ]
 
+[[package]]
+name = "invoke"
+version = "2.2.0"
+description = "Pythonic task execution"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "invoke-2.2.0-py3-none-any.whl", hash = "sha256:6ea924cc53d4f78e3d98bc436b08069a03077e6f85ad1ddaa8a116d7dad15820"},
+    {file = "invoke-2.2.0.tar.gz", hash = "sha256:ee6cbb101af1a859c7fe84f2a264c059020b0cb7fe3535f9424300ab568f6bd5"},
+]
+
 [[package]]
 name = "ipykernel"
-version = "6.29.5"
+version = "6.30.1"
 description = "IPython Kernel for Jupyter"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["dev"]
 files = [
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-    {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
+    {file = "ipykernel-6.30.1-py3-none-any.whl", hash = "sha256:aa6b9fb93dca949069d8b85b6c79b2518e32ac583ae9c7d37c51d119e18b3fb4"},
+    {file = "ipykernel-6.30.1.tar.gz", hash = "sha256:6abb270161896402e76b91394fcdce5d1be5d45f456671e5080572f8505be39b"},
 ]
 
 [package.dependencies]
-appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+appnope = {version = ">=0.1.2", markers = "platform_system == \"Darwin\""}
 comm = ">=0.1.1"
 debugpy = ">=1.6.5"
 ipython = ">=7.23.1"
-jupyter-client = ">=6.1.12"
+jupyter-client = ">=8.0.0"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
 matplotlib-inline = ">=0.1"
-nest-asyncio = "*"
-packaging = "*"
-psutil = "*"
-pyzmq = ">=24"
-tornado = ">=6.1"
+nest-asyncio = ">=1.4"
+packaging = ">=22"
+psutil = ">=5.7"
+pyzmq = ">=25"
+tornado = ">=6.2"
 traitlets = ">=5.4.0"
 
 [package.extras]
-cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
+cov = ["coverage[toml]", "matplotlib", "pytest-cov", "trio"]
+docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<9)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
@@ -1521,7 +1907,6 @@ description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
-markers = "python_version == \"3.10\""
 files = [
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@@ -1554,56 +1939,6 @@ qtconsole = ["qtconsole"]
 test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
 test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
-[[package]]
-name = "ipython"
-version = "9.4.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.11"
-groups = ["dev"]
-markers = "python_version >= \"3.11\""
-files = [
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-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-ipython-pygments-lexers = "*"
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[doc,matplotlib,test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
-matplotlib = ["matplotlib"]
-test = ["packaging", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
-[[package]]
-name = "ipython-pygments-lexers"
-version = "1.1.1"
-description = "Defines a variety of Pygments lexers for highlighting IPython code."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version >= \"3.11\""
-files = [
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-
-[package.dependencies]
-pygments = "*"
-
 [[package]]
 name = "jedi"
 version = "0.19.2"
@@ -1644,101 +1979,102 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jiter"
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 description = "Fast iterable JSON parser."
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 python-versions = ">=3.9"
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-version = "1.5.1"
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 [[package]]
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 docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
 
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 [package.extras]
@@ -1897,14 +2512,14 @@ htmlsoup = ["BeautifulSoup4"]
 
 [[package]]
 name = "markdown"
-version = "3.8.2"
+version = "3.9"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
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 [package.extras]
@@ -1913,14 +2528,14 @@ testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markdown-it-py"
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+version = "4.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
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 [package.extras]
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 profiling = ["gprof2dot"]
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-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
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+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
 
 [[package]]
 name = "markdownify"
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 ]
 
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 ]
 
 [package.dependencies]
@@ -2233,7 +2963,6 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
 files = [
     {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
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@@ -2247,28 +2976,6 @@ example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy
 extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
-[[package]]
-name = "networkx"
-version = "3.5"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "networkx-3.5-py3-none-any.whl", hash = "sha256:0030d386a9a06dee3565298b4a734b68589749a544acbb6c412dc9e2489ec6ec"},
-    {file = "networkx-3.5.tar.gz", hash = "sha256:d4c6f9cf81f52d69230866796b82afbccdec3db7ae4fbd1b65ea750feed50037"},
-]
-
-[package.extras]
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-developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
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-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
-test-extras = ["pytest-mpl", "pytest-randomly"]
-
 [[package]]
 name = "numpy"
 version = "2.2.6"
@@ -2558,14 +3265,14 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.97.0"
+version = "1.107.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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+    {file = "openai-1.107.2.tar.gz", hash = "sha256:a11fe8d4318e98e94309308dd3a25108dec4dfc1b606f9b1c5706e8d88bdd3cb"},
 ]
 
 [package.dependencies]
@@ -2584,6 +3291,31 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
+[[package]]
+name = "opencv-contrib-python"
+version = "4.10.0.84"
+description = "Wrapper package for OpenCV python bindings."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+
 [[package]]
 name = "opencv-python"
 version = "4.12.0.88"
@@ -2619,6 +3351,25 @@ files = [
 [package.dependencies]
 et-xmlfile = "*"
 
+[[package]]
+name = "opt-einsum"
+version = "3.3.0"
+description = "Optimizing numpys einsum function"
+optional = false
+python-versions = ">=3.5"
+groups = ["main"]
+files = [
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+    {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
+]
+
+[package.dependencies]
+numpy = ">=1.7"
+
+[package.extras]
+docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"]
+tests = ["pytest", "pytest-cov", "pytest-pep8"]
+
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -2631,56 +3382,171 @@ files = [
     {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"},
 ]
 
+[[package]]
+name = "paddleocr"
+version = "3.2.0"
+description = "Awesome multilingual OCR and document parsing toolkits based on PaddlePaddle"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+    {file = "paddleocr-3.2.0.tar.gz", hash = "sha256:72f6a1844808003123cebe1b5a9a73302cc394185d948e865ccf104e3d93bc19"},
+]
+
+[package.dependencies]
+paddlex = {version = ">=3.2.0,<3.3.0", extras = ["ocr-core"]}
+PyYAML = ">=6"
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@@ -2953,14 +3846,14 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.3.8"
+version = "4.4.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
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 [package.extras]
@@ -2970,20 +3863,20 @@ type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "playwright"
-version = "1.53.0"
+version = "1.55.0"
 description = "A high-level API to automate web browsers"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -3027,16 +3920,34 @@ rapidfuzz = ">=0.10.0"
 scipy = ">=1.14.1,<2.0.0"
 tqdm = ">=4"
 
+[[package]]
+name = "prettytable"
+version = "3.16.0"
+description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+wcwidth = "*"
+
+[package.extras]
+tests = ["pytest", "pytest-cov", "pytest-lazy-fixtures"]
+
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.51"
+version = "3.0.52"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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 ]
 
 [package.dependencies]
@@ -3195,7 +4106,7 @@ version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
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@@ -3241,6 +4152,18 @@ files = [
 [package.extras]
 tests = ["pytest"]
 
+[[package]]
+name = "py-cpuinfo"
+version = "9.0.0"
+description = "Get CPU info with pure Python"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "pyasn1"
 version = "0.6.1"
@@ -3268,29 +4191,140 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.6.1,<0.7.0"
 
+[[package]]
+name = "pyclipper"
+version = "1.3.0.post6"
+description = "Cython wrapper for the C++ translation of the Angus Johnson's Clipper library (ver. 6.4.2)"
+optional = false
+python-versions = "*"
+groups = ["main"]
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 [package.dependencies]
@@ -3924,106 +4971,104 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
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 [package.extras]
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 name = "requests"
-version = "2.32.4"
+version = "2.32.5"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "docs"]
 files = [
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-    {file = "requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422"},
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@@ -4157,41 +5195,23 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "rich"
-version = "14.0.0"
+version = "14.1.0"
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-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
-[[package]]
-name = "roman-numerals-py"
-version = "3.1.0"
-description = "Manipulate well-formed Roman numerals"
-optional = false
-python-versions = ">=3.9"
-groups = ["docs"]
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-[package.extras]
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-test = ["pytest (>=8)"]
-
 [[package]]
 name = "rsa"
 version = "4.9.1"
@@ -4207,29 +5227,114 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
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+
+[package.extras]
+docs = ["mercurial (>5.7)", "ryd"]
+jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
+
+[[package]]
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+python-versions = ">=3.9"
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 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
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-
 [[package]]
 name = "setuptools"
 version = "80.9.0"
@@ -4424,7 +5528,6 @@ description = "Easily download, build, install, upgrade, and uninstall Python pa
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\""
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+test = ["pytest", "pytest-cov", "scipy-doctest"]
+
 [[package]]
 name = "shellingham"
 version = "1.5.4"
@@ -4489,14 +5666,14 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.7"
+version = "2.8"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
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@@ -4506,7 +5683,6 @@ description = "Python documentation generator"
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 [[package]]
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+
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+groups = ["main"]
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 [[package]]
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 description = "Python client for Together's Cloud Platform!"
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 python-versions = "<4.0,>=3.10"
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 files = [
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 [package.dependencies]
@@ -4772,27 +5959,27 @@ pyarrow = ["pyarrow (>=10.0.1)"]
 
 [[package]]
 name = "tokenizers"
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+version = "0.21.4"
 description = ""
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 python-versions = ">=3.9"
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 version = "4.2.0"
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 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
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 ]
 
 [[package]]
 name = "xlsxwriter"
-version = "3.2.5"
+version = "3.2.8"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "xlsxwriter-3.2.5-py3-none-any.whl", hash = "sha256:4f4824234e1eaf9d95df9a8fe974585ff91d0f5e3d3f12ace5b71e443c1c6abd"},
-    {file = "xlsxwriter-3.2.5.tar.gz", hash = "sha256:7e88469d607cdc920151c0ab3ce9cf1a83992d4b7bc730c5ffdd1a12115a7dbe"},
+    {file = "xlsxwriter-3.2.8-py3-none-any.whl", hash = "sha256:cb0baf8c9bcce14fdadd01297f4e6cd64901cf536283a1f4ab5d07290d85a66b"},
+    {file = "xlsxwriter-3.2.8.tar.gz", hash = "sha256:8c0dc8f1538c4052a4d4e07a1962750949c2a469138a6cfbc73349c88f6b39a7"},
 ]
 
 [[package]]
@@ -5405,4 +6688,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "ef063c7cdd6b069857ade28fbc0998678a563b01f34225bc38133a74686e9eb6"
+content-hash = "56a7f0aafc9c9eb4b282a61092fb09cdf7938438c54a739b3a046b61437519bd"
diff --git a/pyproject.toml b/pyproject.toml
index f50da7a..43a4556 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,11 @@ anthropic = "^0.60.0"
 transformers = "^4.51.3"
 torch = "^2.7.0"
 scikit-learn = "^1.7.1"
+scikit-image = "^0.25.2"
+paddleocr = "^3.2.0"
+matplotlib = "^3.10.6"
+paddlepaddle = "^3.2.0"
+levenshtein = "^0.27.1"
 
 [tool.poetry.group.dev.dependencies]
 ipykernel = "^6.29.5"