diff --git a/examples/example_notebook_reference_highlight.ipynb b/examples/example_notebook_reference_highlight.ipynb
new file mode 100644
index 0000000..4caf75d
--- /dev/null
+++ b/examples/example_notebook_reference_highlight.ipynb
@@ -0,0 +1,227 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b29373c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/dilith/Projects/oidlabs/pdf-parser/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "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.utils import find_bboxes_for_substring, visualize_bounding_boxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "dd192666",
+   "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"
+     ]
+    }
+   ],
+   "source": [
+    "pdf_path = \"inputs/test_1.pdf\"\n",
+    "result = parse(pdf_path, parser_type=\"STATIC_PARSE\")"
+   ]
+  },
+  {
+   "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_cv2_image(b64_img)\n",
+    "rgb_img = cv2.cvtColor(cv2_img, cv2.COLOR_BGR2RGB)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ed010db2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seg_idx = 0\n",
+    "segment = result[\"segments\"][seg_idx]\n",
+    "content = segment[\"content\"]\n",
+    "bboxes = segment[\"bboxes\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "27f0cccc",
+   "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"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "substring = \"example of a data table.\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, fuzzy=True)\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": 5,
+   "id": "e1dd6f8c",
+   "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"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "substring = \"Time 2 complete\" # Instead of \"Time to complete\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, fuzzy=True)\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": 6,
+   "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",
+   "execution_count": 7,
+   "id": "3320373f",
+   "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"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "substring = \"Ballots\"\n",
+    "matched_bboxes = find_bboxes_for_substring(bboxes, content, substring, all_matches=True)\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": null,
+   "id": "9b6d375b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cada8701",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lexoid/core/parse_type/static_parser.py b/lexoid/core/parse_type/static_parser.py
index 3043a6b..c57f1ac 100644
--- a/lexoid/core/parse_type/static_parser.py
+++ b/lexoid/core/parse_type/static_parser.py
@@ -3,7 +3,7 @@
 import tempfile
 from functools import wraps
 from time import time
-from typing import Dict, List
+from typing import Dict, List, Tuple
 
 import pandas as pd
 import pdfplumber
@@ -173,34 +173,6 @@ def parse_with_pdfminer(path: str, **kwargs) -> Dict:
     }
 
 
-def process_table(table) -> str:
-    """
-    Convert a table to markdown format.
-    """
-    # Extract table data
-    table_data = table.extract()
-    if not table_data or not table_data[0]:  # Check if table is empty
-        return ""
-
-    # Convert to DataFrame and handle empty cells
-    df = pd.DataFrame(table_data)
-    df.replace("", pd.NA, inplace=True)
-    df = df.dropna(how="all", axis=0)
-    df = df.dropna(how="all", axis=1)
-    df = df.fillna("")
-    if len(df) == 0:
-        return ""
-
-    # Use first row as header and clean it up
-    df.columns = df.iloc[0]
-    df = df.drop(df.index[0])
-    df.replace(r"\n", "<br>", regex=True, inplace=True)
-
-    # Convert to markdown with some formatting options
-    markdown_table = df.to_markdown(index=False, tablefmt="pipe")
-    return f"\n{markdown_table}\n\n"
-
-
 def embed_links_in_text(page, text, links):
     """
     Embed hyperlinks inline within the text, matching their position based on rectangles.
@@ -266,7 +238,9 @@ def embed_email_links(text: str) -> str:
     return email_pattern.sub(lambda match: f"<{match.group('email')}>", text)
 
 
-def process_pdf_page_with_pdfplumber(page, uri_rects, **kwargs):
+def process_pdf_page_with_pdfplumber(
+    page, uri_rects, **kwargs
+) -> Tuple[str, List[Tuple[str, Tuple[float, float, float, float]]]]:
     """
     Process a single page's content and return formatted markdown text.
     """
@@ -277,6 +251,10 @@ def process_pdf_page_with_pdfplumber(page, uri_rects, **kwargs):
     x_tolerance = kwargs.get("x_tolerance", 1)
     y_tolerance = kwargs.get("y_tolerance", 5)
     next_h_line_idx = 0
+    word_bboxes = []
+
+    page_width = float(page.width)
+    page_height = float(page.height)
 
     # First detect horizontal lines that could be markdown rules
     horizontal_lines = []
@@ -302,6 +280,57 @@ def process_pdf_page_with_pdfplumber(page, uri_rects, **kwargs):
     snap_x_tolerance = kwargs.get("snap_x_tolerance", 10)
     snap_y_tolerance = kwargs.get("snap_y_tolerance", 0)
 
+    def process_table(table):
+        table_data = table.extract()
+        if not table_data or not table_data[0]:
+            return "", []
+
+        df = pd.DataFrame(table_data)
+        df.replace("", pd.NA, inplace=True)
+        df = df.dropna(how="all", axis=0).dropna(how="all", axis=1)
+        df = df.fillna("")
+        if len(df) == 0:
+            return "", []
+
+        df.columns = df.iloc[0]
+        df = df.drop(df.index[0])
+        df.replace(r"\n", "<br>", regex=True, inplace=True)
+
+        markdown_table = df.to_markdown(index=False, tablefmt="pipe")
+        markdown_table = f"\n{markdown_table}\n\n"
+
+        words_on_page = page.extract_words(
+            extra_attrs=["top", "bottom", "fontname", "size"],
+        )
+
+        def intersects(word_bbox, cell_bbox):
+            wx0, wtop, wx1, wbot = word_bbox
+            cx0, ctop, cx1, cbot = cell_bbox
+            x_overlap = (wx0 <= cx1) and (wx1 >= cx0)
+            y_overlap = (wtop <= cbot) and (wbot >= ctop)
+            return x_overlap and y_overlap
+
+        table_bboxes = []
+        for cell in table.cells:  # cell is a tuple: (x0, top, x1, bottom)
+            cx0, ctop, cx1, cbot = cell
+            cell_bbox = (cx0, ctop, cx1, cbot)
+
+            for w in words_on_page:
+                word_bbox = (w["x0"], w["top"], w["x1"], w["bottom"])
+                if intersects(word_bbox, cell_bbox):
+                    text = (w.get("text") or "").strip()
+                    if not text:
+                        continue
+                    norm_bbox = (
+                        w["x0"] / page_width,
+                        w["top"] / page_height,
+                        w["x1"] / page_width,
+                        w["bottom"] / page_height,
+                    )
+                    table_bboxes.append((text, norm_bbox))
+
+        return markdown_table, table_bboxes
+
     tables = page.find_tables(
         table_settings={
             "vertical_strategy": vertical_strategy,
@@ -310,11 +339,14 @@ def process_pdf_page_with_pdfplumber(page, uri_rects, **kwargs):
             "snap_y_tolerance": snap_y_tolerance,
         }
     )
-    table_zones = [(table.bbox, process_table(table)) for table in tables]
+    table_zones = []
+    for table in tables:
+        table_md, table_bboxes = process_table(table)
+        table_zones.append((table.bbox, table_md, table_bboxes))
 
     # Create a filtered page excluding table areas
     filtered_page = page
-    for table_bbox, _ in table_zones:
+    for table_bbox, _, _ in table_zones:
         filtered_page = filtered_page.filter(
             lambda obj: get_bbox_overlap(obj_to_bbox(obj), table_bbox) is None
         )
@@ -395,6 +427,16 @@ def apply_markdown_formatting(text, formatting):
             text = f"*{text}*"
         return text
 
+    def normalize_bbox(bbox):
+        """Convert PDF bbox to normalized coordinates (0-1)."""
+        x0, top, x1, bottom = bbox
+        return (
+            x0 / page_width,
+            top / page_height,
+            x1 / page_width,
+            bottom / page_height,
+        )
+
     def format_paragraph(text_elements):
         """
         Format a paragraph with styling applied to individual words.
@@ -415,12 +457,12 @@ def format_paragraph(text_elements):
             formatting = get_text_formatting(element)
 
             if formatting.get("monospace", False):
-                # Wrap monospace words with backticks
-                formatted_words.append(f"`{text}`")
+                formatted_word = f"`{text}`"
             else:
                 all_monospace = False
-                # Apply other markdown formatting
-                formatted_words.append(apply_markdown_formatting(text, formatting))
+                formatted_word = apply_markdown_formatting(text, formatting)
+            formatted_words.append(formatted_word)
+            word_bboxes.append((formatted_word, normalize_bbox(obj_to_bbox(element))))
 
         # If all words are monospace, format as a code block
         if all_monospace:
@@ -457,7 +499,7 @@ def detect_heading_level(font_size, body_font_size):
         return None
 
     tables = []
-    for bbox, table_md in table_zones:
+    for bbox, table_md, table_bboxes in table_zones:
         tables.append(
             (
                 "table",
@@ -465,6 +507,7 @@ def detect_heading_level(font_size, body_font_size):
                     "top": bbox[1],
                     "bottom": bbox[3],
                     "content": table_md,
+                    "bboxes": table_bboxes,
                 },
             )
         )
@@ -512,6 +555,7 @@ def detect_heading_level(font_size, body_font_size):
                 current_paragraph = []
             # Add the table
             markdown_content.append(element["content"])
+            word_bboxes.extend(element["bboxes"])
             last_y = element["bottom"]
         elif element_type == "horizontal_line":
             while (next_h_line_idx < len(horizontal_lines)) and (
@@ -548,8 +592,9 @@ def detect_heading_level(font_size, body_font_size):
                     markdown_content.append(format_paragraph(current_paragraph))
                     current_paragraph = []
 
-                indent_level = detect_indentation_level(word, base_left)
-                current_paragraph.append(("indent", indent_level))
+                if heading_level is None:
+                    indent_level = detect_indentation_level(word, base_left)
+                    current_paragraph.append(("indent", indent_level))
 
             # Add word to appropriate collection
             if heading_level:
@@ -600,14 +645,19 @@ def detect_heading_level(font_size, body_font_size):
         .replace("\n```\n\n```", "")
     )
 
-    return content
+    return content, word_bboxes
 
 
-def process_pdf_with_pdfplumber(path: str, **kwargs) -> List[str]:
+def process_pdf_with_pdfplumber(
+    path: str, **kwargs
+) -> List[Tuple[str, List[Tuple[str, Tuple[float, float, float, float]]]]]:
     """
-    Process PDF and return a list of markdown-formatted strings, one per page.
+    Process PDF and return a list of (markdown, word_bboxes) per page.
+
+    Returns: List[Tuple[str, List[Tuple[str, Tuple[float, float, float, float]]]]]
+    Each page returns a (markdown_text, [(word, (x0, top, x1, bottom))]) tuple for both content and bounding box mapping.
     """
-    page_texts = []
+    page_data = []
 
     with tempfile.TemporaryDirectory() as temp_dir:
         paths = split_pdf(path, temp_dir, pages_per_split=1)
@@ -616,12 +666,12 @@ def process_pdf_with_pdfplumber(path: str, **kwargs) -> List[str]:
             uri_rects = get_uri_rect(split_path)
             with pdfplumber.open(split_path) as pdf:
                 for page in pdf.pages:
-                    page_content = process_pdf_page_with_pdfplumber(
+                    page_content, word_bboxes = process_pdf_page_with_pdfplumber(
                         page, uri_rects, **kwargs
                     )
-                    page_texts.append(page_content.strip())
+                    page_data.append((page_content.strip(), word_bboxes))
 
-    return page_texts
+    return page_data
 
 
 def parse_with_pdfplumber(path: str, **kwargs) -> Dict:
@@ -631,9 +681,16 @@ def parse_with_pdfplumber(path: str, **kwargs) -> Dict:
     Returns:
         Dict: Dictionary containing parsed document data
     """
-    page_texts = process_pdf_with_pdfplumber(path)
+    page_data = process_pdf_with_pdfplumber(path)
+    page_texts = [p[0] for p in page_data]
+    page_bboxes = [p[1] for p in page_data]
+
     segments = [
-        {"metadata": {"page": kwargs["start"] + page_num}, "content": page_text}
+        {
+            "metadata": {"page": kwargs["start"] + page_num},
+            "content": page_text,
+            "bboxes": page_bboxes[page_num - 1],
+        }
         for page_num, page_text in enumerate(page_texts, start=1)
     ]
 
diff --git a/lexoid/core/utils.py b/lexoid/core/utils.py
index 23eb7dd..e1f59c3 100644
--- a/lexoid/core/utils.py
+++ b/lexoid/core/utils.py
@@ -2,20 +2,27 @@
 import mimetypes
 import os
 import re
+from collections import defaultdict, deque
 from hashlib import md5
-from typing import Dict, List, Optional
+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 loguru import logger
+from markdown import markdown
 from markdownify import markdownify as md
 
 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});")
+
+
 def split_pdf(input_path: str, output_dir: str, pages_per_split: int):
     paths = []
     with pikepdf.open(input_path) as pdf:
@@ -551,3 +558,215 @@ def get_uri_rect(path):
         list(map(float, rect_split.split("]")[0].split())) for rect_split in rect_splits
     ]
     return {uri: rect for uri, rect in zip(uris, rects)}
+
+
+def remove_html_tags(text: str):
+    html = markdown(text, extensions=["tables"])
+    return re.sub(HTML_TAG_PATTERN, " ", html)
+
+
+def strip_markdown(text: str) -> str:
+    """
+    Remove markdown formatting for matching words with bbox mapping.
+    """
+    # Remove bold/italic/code/strike
+    text = re.sub(r"[*_`~]", "", text)
+    # Remove links but keep visible text
+    text = re.sub(r"\[([^\]]+)\]\([^)]+\)", r"\1", text)
+    # Remove HTML tags
+    text = remove_html_tags(text)
+    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,
+):
+    """
+    Given bounding boxes for words and a substring, return bounding boxes of words in the substring.
+
+    Args:
+        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
+
+    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_bboxes = [(strip_markdown(w).strip(), bbox) for w, bbox in bbox_dict]
+
+    # Build mapping from word -> list of bboxes
+    bbox_lookup = defaultdict(deque)
+    for word, bbox in normalized_bboxes:
+        bbox_lookup[word].append(bbox)
+
+    # Reconstruct bounding boxes in the order of normalized_content
+    ordered_bboxes = []
+    for word in normalized_content:
+        if bbox_lookup[word]:
+            ordered_bboxes.append((word, bbox_lookup[word].popleft()))
+
+    result = []
+
+    if not fuzzy:
+        # Exact sliding window search
+        for i in range(len(normalized_content) - len(normalized_substring) + 1):
+            if (
+                normalized_content[i : i + len(normalized_substring)]
+                == normalized_substring
+            ):
+                bboxes = [
+                    bbox
+                    for (_, bbox) in ordered_bboxes[i : i + len(normalized_substring)]
+                ]
+                if 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")
+        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)
+            if dist < min_dist:
+                min_dist = dist
+                best_start = i
+
+        if best_start is not None:
+            bboxes = [
+                bbox
+                for (_, bbox) in ordered_bboxes[
+                    best_start : best_start + len(normalized_substring)
+                ]
+            ]
+            if all_matches:
+                # For fuzzy, we only have the best match, so just extend result once
+                result.extend(bboxes)
+            else:
+                return bboxes
+
+        return result
+
+
+def merge_bboxes(bboxes, threshold: float = 0.02):
+    """
+    Merge bounding boxes based on horizontal proximity.
+
+    Args:
+        bboxes (list): List of bounding boxes (x0, top, x1, bottom), normalized [0,1]
+        threshold (float): Maximum horizontal gap (in normalized units) to merge boxes
+
+    Returns:
+        list: Merged list of bounding boxes
+    """
+    if not bboxes:
+        return []
+
+    # Sort by left (x0), then top
+    bboxes = sorted(bboxes, key=lambda b: (b[1], b[0]))
+
+    merged = []
+    current = list(bboxes[0])
+
+    for x0, top, x1, bottom in bboxes[1:]:
+        # Check vertical overlap: only merge if boxes overlap vertically
+        if not (current[3] < top or bottom < current[1]):
+            # Horizontal proximity check
+            if min(abs(x0 - current[2]), abs(x1 - current[0])) <= threshold:
+                # Merge into current box
+                current[2] = max(current[2], x1)
+                current[1] = min(current[1], top)
+                current[3] = max(current[3], bottom)
+            else:
+                merged.append(tuple(current))
+                current = [x0, top, x1, bottom]
+        else:
+            merged.append(tuple(current))
+            current = [x0, top, x1, bottom]
+
+    merged.append(tuple(current))
+    return merged
+
+
+def visualize_bounding_boxes(
+    img: np.ndarray,
+    matched_bboxes: list,
+    highlight: bool = False,
+    merge_threshold: float = 0.02,
+):
+    """
+    Visualize bounding boxes on the image, optionally merging nearby boxes.
+
+    Args:
+        img (ndarray): The image on which to draw the bounding boxes
+        matched_bboxes (list): List of bounding boxes (x0, top, x1, bottom), normalized [0,1]
+        highlight (bool): If True, highlight merged boxes with semi-transparent fill
+        merge_threshold (float): Horizontal proximity threshold for merging
+    """
+    plt.figure(figsize=(10, 12))
+    plt.imshow(img)
+    ax = plt.gca()
+    H_img, W_img = img.shape[:2]
+
+    if highlight:
+        linewidth = 0
+        edgecolor = facecolor = (1, 1, 0, 0.5)
+    else:
+        linewidth = 2
+        edgecolor = "red"
+        facecolor = "none"
+
+    # Merge bounding boxes before drawing
+    merged_bboxes = merge_bboxes(matched_bboxes, threshold=merge_threshold)
+
+    # Draw bounding boxes
+    for bbox in merged_bboxes:
+        x0, top, x1, bottom = bbox
+        x0 *= W_img
+        x1 *= W_img
+        top *= H_img
+        bottom *= H_img
+        rect = plt.Rectangle(
+            (x0, top),
+            x1 - x0,
+            bottom - top,
+            linewidth=linewidth,
+            edgecolor=edgecolor,
+            facecolor=facecolor,
+        )
+        ax.add_patch(rect)
+
+    plt.axis("off")
+    plt.show()