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3f060fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 | import fitz # PyMuPDF
import base64
import io
import os
import re
import sys
from openai import OpenAI
from PIL import Image
# Force UTF-8 stdout to avoid UnicodeEncodeError on em dashes etc.
sys.stdout.reconfigure(encoding='utf-8')
# 1. Setup
client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
PDF_PATH = '/home/rmodi/turing/turing_archive/amt-d-9.pdf'
FIGURES_DIR = "figures"
os.makedirs(FIGURES_DIR, exist_ok=True)
UNICODE_SUPERSCRIPTS = {
'\u2070': '0', '\u00b9': '1', '\u00b2': '2', '\u00b3': '3',
'\u2074': '4', '\u2075': '5', '\u2076': '6', '\u2077': '7',
'\u2078': '8', '\u2079': '9',
}
UNICODE_SUBSCRIPTS = {
'\u2080': '0', '\u2081': '1', '\u2082': '2', '\u2083': '3',
'\u2084': '4', '\u2085': '5', '\u2086': '6', '\u2087': '7',
'\u2088': '8', '\u2089': '9',
}
# Common Unicode characters that have safe LaTeX equivalents
UNICODE_REPLACEMENTS = {
'\u2014': '---', # em dash
'\u2013': '--', # en dash
'\u2018': '`', # left single quote
'\u2019': "'", # right single quote
'\u201c': '``', # left double quote
'\u201d': "''", # right double quote
'\u2026': '\\ldots{}', # ellipsis
'\u00a0': '~', # non-breaking space
'\u00b7': '\\cdot{}', # middle dot
'\u2212': '-', # minus sign
'\u00d7': '\\times{}', # multiplication sign
'\u00f7': '\\div{}', # division sign
'\u2264': '\\leq{}', # less than or equal
'\u2265': '\\geq{}', # greater than or equal
'\u2260': '\\neq{}', # not equal
'\u221e': '\\infty{}', # infinity
'\u03b1': '\\alpha{}', # greek alpha
'\u03b2': '\\beta{}', # greek beta
'\u03b3': '\\gamma{}', # greek gamma
'\u03b4': '\\delta{}', # greek delta
'\u03b5': '\\epsilon{}', # greek epsilon
'\u03bb': '\\lambda{}',# greek lambda
'\u03bc': '\\mu{}', # greek mu
'\u03c0': '\\pi{}', # greek pi
'\u03c3': '\\sigma{}', # greek sigma
'\u03c6': '\\phi{}', # greek phi
'\u03c9': '\\omega{}', # greek omega
}
def sanitize_latex(text):
# 1. Fix [h] float specifier
text = text.replace(r'\begin{figure}[h]', r'\begin{figure}[htbp]')
# 2. Convert Unicode superscripts to LaTeX math
for char, digit in UNICODE_SUPERSCRIPTS.items():
text = text.replace(char, f'$^{{{digit}}}$')
# 3. Convert Unicode subscripts to LaTeX math
for char, digit in UNICODE_SUBSCRIPTS.items():
text = text.replace(char, f'$_{{{digit}}}$')
# 4. Replace known Unicode characters with LaTeX equivalents
for char, replacement in UNICODE_REPLACEMENTS.items():
text = text.replace(char, replacement)
# 5. Replace any remaining non-ASCII characters with '?'
result = []
for char in text:
if ord(char) > 127:
result.append('?')
else:
result.append(char)
return ''.join(result)
def process_manuscript(pdf_path):
doc = fitz.open(pdf_path)
all_pages_latex = []
for page_num in range(len(doc)):
print(f"\nProcessing page {page_num + 1}/{len(doc)}...")
page = doc.load_page(page_num)
# 2. Extract unique raster figures, skip tiny decorative images
fig_paths = []
raw_images = list(dict.fromkeys(page.get_images(full=True)))
for i, img_info in enumerate(raw_images):
xref = img_info[0]
pix = fitz.Pixmap(doc, xref)
# Skip tiny images (icons, bullets, decorations)
if pix.width < 100 or pix.height < 100:
print(f" Skipping small image (xref={xref}, {pix.width}x{pix.height})")
continue
fig_name = f"page_{page_num}_fig_{i}.png"
fig_path = os.path.join(FIGURES_DIR, fig_name)
pix.save(fig_path)
fig_paths.append(fig_name)
print(f" Extracted figure: {fig_path}")
# 3. Fallback: if no raster images found, save full page render
# so vector drawings / charts are still captionable
if not fig_paths:
fallback_pix = page.get_pixmap(dpi=150)
fig_name = f"page_{page_num}_fullpage.png"
fig_path = os.path.join(FIGURES_DIR, fig_name)
fallback_pix.save(fig_path)
fig_paths.append(fig_name)
print(f" No raster images found - saved full-page fallback: {fig_path}")
# 4. Render page as image for the VLM
pix = page.get_pixmap(dpi=150)
img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
buf = io.BytesIO()
img.save(buf, format="PNG")
img_b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
# 5. Prompt: full text + figures with real captions, body-only LaTeX
prompt = (
"You are an expert LaTeX transcriber. Transcribe the manuscript page shown "
"in the image into LaTeX. Output ONLY the body content — do NOT include "
r"\documentclass, \usepackage, \begin{document}, or \end{document}. "
"Transcribe ALL text on the page completely and verbatim — every heading, "
"paragraph, footnote, and caption visible in the image must appear in the output. "
"Do not summarise, skip, or truncate any text, even if a figure is present. "
"Use proper LaTeX math mode for ALL mathematical expressions, symbols, subscripts, "
"and superscripts — never use raw Unicode characters for math. "
"Insert figures at the correct locations using the following filenames exactly: "
f"{fig_paths}. "
r"Use this exact format for each figure: "
r"\begin{figure}[htbp] \centering "
r"\includegraphics[width=0.8\textwidth]{figures/FILENAME} "
r"\caption{Descriptive caption inferred from the figure content and surrounding text.} "
r"\label{fig:FILENAME} "
r"\end{figure} "
"IMPORTANT RULES - follow every one: "
"1. Only use filenames from the list above - never invent new filenames. "
"2. If the page contains a diagram, chart, table, illustration, or any visual "
"element, you MUST include it as a figure with a meaningful caption. Never skip it. "
"3. If the page is plain text with no visual content, do not insert any figure environment. "
"4. Every caption MUST be descriptive and specific to what is shown - "
"never write '...' or generic placeholder text like 'Caption here'. "
"5. The figure environment must be placed at the position in the text where "
"the figure appears on the page - not dumped at the end. "
"6. Do not wrap the output in markdown code fences or backticks. "
"7. Always use LaTeX math mode ($...$ or $$...$$) for equations, never raw Unicode math symbols."
)
response = client.chat.completions.create(
model="Qwen/Qwen3-VL-32B-Instruct",
messages=[{"role": "user", "content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": {"url": f"data:image/png;base64,{img_b64}"}}
]}]
)
content = response.choices[0].message.content
# 6. Strip any document-level wrappers the model emits anyway
skip_patterns = (
r"\documentclass",
r"\usepackage",
r"\begin{document}",
r"\end{document}",
"```",
)
filtered_lines = [
line for line in content.splitlines()
if not any(line.strip().startswith(p) for p in skip_patterns)
]
content = "\n".join(filtered_lines)
# 7. Sanitize Unicode and fix float specifiers
content = sanitize_latex(content)
all_pages_latex.append(content)
print(f" Done - page {page_num + 1} transcribed.")
# 8. Write final .tex with boilerplate exactly once
output_path = "master_document.tex"
with open(output_path, "w", encoding="utf-8") as f:
f.write(r"""\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{graphicx}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{float}
\usepackage{textcomp}
\begin{document}
""")
f.write("\n\n% -------- Page break --------\n\n".join(all_pages_latex))
f.write("\n\n\\end{document}\n")
print(f"\nDone! {output_path} is ready.")
if __name__ == "__main__":
process_manuscript(PDF_PATH) |