RRepoGEO

REPOGEO REPORT · LITE

opendatalab/PDF-Extract-Kit

Default branch main · commit fdb25fd4 · scanned 5/18/2026, 8:47:12 PM

GitHub: 9,667 stars · 729 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    pdf-extraction, document-parsing, ocr, layout-detection, formula-recognition, data-extraction, toolkit, machine-learning, deep-learning, computer-vision
  • highreadme#2
    Strengthen the README's opening statement to highlight unique value

    Why:

    CURRENT
    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
    PDF-Extract-Kit is a powerful open-source toolkit that integrates state-of-the-art machine learning models for high-quality content extraction from complex PDF documents, including advanced layout, formula, and OCR capabilities. It serves as the foundation for tools like MinerU, enabling efficient and accurate data retrieval.
  • mediumreadme#3
    Add a 'Why PDF-Extract-Kit?' or 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps after 'Overview', titled '### Why PDF-Extract-Kit?' with content such as:
    Unlike general-purpose PDF parsers or single-function tools, PDF-Extract-Kit stands out by integrating and orchestrating state-of-the-art deep learning models for comprehensive document understanding. This allows for superior accuracy in complex tasks like layout detection, formula recognition, and OCR across diverse document types, providing a robust foundation for high-quality data extraction applications.

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
Adobe Acrobat Pro DC
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Acrobat Pro DC · recommended 1×
  2. tabulapdf/tabula · recommended 1×
  3. pdfminer/pdfminer.six · recommended 1×
  4. camelot-dev/camelot · recommended 1×
  5. Mathpix Snipping Tool · recommended 1×
  • CATEGORY QUERY
    What's a good tool for extracting structured data and formulas from complex PDF documents?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. Tabula (tabulapdf/tabula)
    3. PDFMiner.six (pdfminer/pdfminer.six)
    4. Camelot (camelot-dev/camelot)
    5. Mathpix Snipping Tool
    6. Grobid (kermitt2/grobid)
    7. Google Cloud Document AI
    8. AWS Textract
    9. Azure Form Recognizer

    AI recommended 9 alternatives but never named opendatalab/PDF-Extract-Kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need an open-source library to accurately parse text and layouts from varied PDF documents.
    you: not recommended
    AI recommended (in order):
    1. Apache PDFBox
    2. pdfminer.six
    3. Poppler
    4. PyMuPDF
    5. Tabula-py
    6. pdf.js

    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)
[![RepoGEO](https://repogeo.com/badge/opendatalab/PDF-Extract-Kit.svg)](https://repogeo.com/en/r/opendatalab/PDF-Extract-Kit)
HTML
<a href="https://repogeo.com/en/r/opendatalab/PDF-Extract-Kit"><img src="https://repogeo.com/badge/opendatalab/PDF-Extract-Kit.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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