RRepoGEO

REPOGEO REPORT · LITE

pymupdf/PyMuPDF

Default branch main · commit 4c37225a · scanned 5/11/2026, 1:21:49 AM

GitHub: 9,661 stars · 720 forks

AI VISIBILITY SCORE
59 /100
Needs work
Category recall
1 / 2
Avg rank #9.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface pymupdf/PyMuPDF, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update repository description to explicitly mention data science projects

    Why:

    CURRENT
    PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
    COPY-PASTE FIX
    PyMuPDF is a high-performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents, ideal for data science projects and AI pipelines.
  • mediumreadme#2
    Enhance 'Why PyMuPDF?' section with explicit table extraction detail

    Why:

    CURRENT
    Accurate** — pixel-perfect text extraction with font, color, and position metadata
    COPY-PASTE FIX
    Accurate** — pixel-perfect text and table extraction with font, color, and position metadata, preserving layout and structure.
  • lowreadme#3
    Add a brief positioning statement against common PDF extraction libraries

    Why:

    COPY-PASTE FIX
    While many tools specialize in specific PDF tasks, PyMuPDF offers a comprehensive toolkit for everything from high-performance rendering and manipulation to precise data extraction, setting it apart from single-purpose libraries.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
1 / 2
50% of queries surface pymupdf/PyMuPDF
Avg rank
#9.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
pdfplumber
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pdfplumber · recommended 2×
  2. Camelot · recommended 2×
  3. Tabula-py · recommended 2×
  4. pdfminer.six · recommended 2×
  5. PyPDF2 · recommended 1×
  • CATEGORY QUERY
    How can I efficiently extract text and tables from PDF documents using Python?
    you: #9
    AI recommended (in order):
    1. PyPDF2
    2. pdfplumber
    3. Camelot
    4. Tabula-py
    5. pdfminer.six
    6. Tesseract OCR
    7. Pillow
    8. OpenCV
    9. PymuPDF ← you
    10. Wand
    11. pytesseract
    Show full AI answer
  • CATEGORY QUERY
    What are the best Python libraries for high-performance PDF processing in data science projects?
    you: not recommended
    AI recommended (in order):
    1. PyMuPDF (Fitz)
    2. pdfminer.six
    3. pypdf (formerly PyPDF2)
    4. Camelot
    5. Tabula-py
    6. pdfplumber

    AI recommended 6 alternatives but never named pymupdf/PyMuPDF. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of pymupdf/PyMuPDF?
    pass
    AI named pymupdf/PyMuPDF explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts pymupdf/PyMuPDF in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pymupdf/PyMuPDF explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo pymupdf/PyMuPDF solve, and who is the primary audience?
    pass
    AI named pymupdf/PyMuPDF explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)
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pymupdf/PyMuPDF — RepoGEO report