RRepoGEO

REPOGEO REPORT · LITE

raphael-seo/Versatile-OCR-Program

Default branch main · commit 8a549456 · scanned 6/8/2026, 1:17:41 AM

GitHub: 682 stars · 50 forks

AI VISIBILITY SCORE
22 /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
1 / 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 raphael-seo/Versatile-OCR-Program, 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
  • highreadme#1
    Clarify the current project's nature and unique value for ML training in the README's opening

    Why:

    CURRENT
    The current README immediately follows the H1 with version info and then a 'COMING SOON' section, potentially obscuring the current project's core identity.
    COPY-PASTE FIX
    Insert a concise paragraph immediately after the H1 and before the 'v3.0_initial' section, explicitly stating: 'This repository provides a robust, multi-modal OCR *pipeline* designed specifically for generating high-quality datasets for *machine learning training*. Unlike generic OCR tools, it excels at extracting complex content like figures, diagrams, tables, and mathematical equations, making it ideal for academic and research data preparation.'
  • highreadme#2
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, for example: '## License
    This project is licensed under [State the specific license(s) here, e.g., 'a custom license combining elements of X and Y']. Please refer to the `LICENSE` file for full details.'
  • mediumabout#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the homepage URL to `https://github.com/raphael-seo/Versatile-OCR-Program` (or a dedicated project website if one exists).

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 raphael-seo/Versatile-OCR-Program
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vision AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vision AI · recommended 2×
  2. Amazon Textract · recommended 2×
  3. Microsoft Azure Form Recognizer · recommended 1×
  4. Tesseract OCR · recommended 1×
  5. OpenCV · recommended 1×
  • CATEGORY QUERY
    Need an OCR solution for extracting diverse content from documents for machine learning.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Textract
    3. Microsoft Azure Form Recognizer
    4. Tesseract OCR
    5. OpenCV
    6. ABBYY FineReader Engine
    7. PaddleOCR

    AI recommended 7 alternatives but never named raphael-seo/Versatile-OCR-Program. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an OCR tool to accurately parse tables, math, and diagrams from research papers.
    you: not recommended
    AI recommended (in order):
    1. Mathpix Snip
    2. Adobe Acrobat Pro DC
    3. Tesseract OCR (tesseract-ocr/tesseract)
    4. Google Cloud Vision AI
    5. Amazon Textract
    6. ABBYY FineReader PDF

    AI recommended 6 alternatives but never named raphael-seo/Versatile-OCR-Program. 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 raphael-seo/Versatile-OCR-Program?
    pass
    AI did not name raphael-seo/Versatile-OCR-Program — 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 raphael-seo/Versatile-OCR-Program in production, what risks or prerequisites should they evaluate first?
    pass
    AI named raphael-seo/Versatile-OCR-Program 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 raphael-seo/Versatile-OCR-Program solve, and who is the primary audience?
    pass
    AI did not name raphael-seo/Versatile-OCR-Program — 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?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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