RRepoGEO

REPOGEO REPORT · LITE

opendatalab/PDF-Extract-Kit

Default branch main · commit fdb25fd4 · scanned 6/30/2026, 3:32:10 AM

GitHub: 9,756 stars · 737 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 opendatalab/PDF-Extract-Kit, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README overview to clarify unique strengths

    Why:

    CURRENT
    Overview `PDF-Extract-Kit` is a powerful open-source toolkit designed to efficiently extract high-quality content from complex and diverse PDF documents.
    COPY-PASTE FIX
    Overview `PDF-Extract-Kit` is a powerful open-source toolkit designed to efficiently extract high-quality content from complex and diverse PDF documents, excelling particularly in handling diverse layouts and languages, including robust support for Chinese documents.
  • mediumcomparison#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Alternatives' or 'Why PDF-Extract-Kit?' to the README, outlining how it differs from and improves upon common tools like Apache Tika, PDFMiner.six, or Parsr, especially regarding its model integration, quality for complex documents, or specific language support.

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
0 / 2
0% of queries surface opendatalab/PDF-Extract-Kit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Tika
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Tika · recommended 2×
  2. Adobe Acrobat Pro DC · recommended 1×
  3. PDFMiner.six · recommended 1×
  4. Parsr · recommended 1×
  5. Mathpix Snipping Tool · recommended 1×
  • CATEGORY QUERY
    How can I accurately extract text, layouts, and formulas from complex PDF documents?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. PDFMiner.six
    3. Parsr
    4. Apache Tika
    5. Mathpix Snipping Tool
    6. Tabula-py

    AI recommended 6 alternatives but never named opendatalab/PDF-Extract-Kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools are available for advanced PDF parsing including OCR and layout analysis?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. pdfminer.six (pdfminer/pdfminer.six)
    3. OCRmyPDF (ocrmypdf/OCRmyPDF)
    4. Tesseract OCR (tesseract-ocr/tesseract)
    5. Camelot (camelot-dev/camelot)
    6. DeepDoctection (deepdoctection/deepdoctection)

    AI recommended 6 alternatives but never named opendatalab/PDF-Extract-Kit. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 opendatalab/PDF-Extract-Kit?
    pass
    AI did not name opendatalab/PDF-Extract-Kit — likely talking about a different project

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

  • If a team adopts opendatalab/PDF-Extract-Kit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named opendatalab/PDF-Extract-Kit 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 opendatalab/PDF-Extract-Kit solve, and who is the primary audience?
    pass
    AI named opendatalab/PDF-Extract-Kit explicitly

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

Embed your GEO score

Drop this badge into the README of opendatalab/PDF-Extract-Kit. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
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opendatalab/PDF-Extract-Kit — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite