RRepoGEO

REPOGEO REPORT · LITE

wanghaisheng/awesome-ocr

Default branch master · commit c7109189 · scanned 6/29/2026, 9:42:57 PM

GitHub: 1,702 stars · 353 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
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 wanghaisheng/awesome-ocr, 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
    ocr, awesome-list, computer-vision, machine-learning, deep-learning, resource-list, papers, datasets, tools
  • highreadme#2
    Clarify the main README heading to reflect its 'awesome list' nature

    Why:

    CURRENT
    # **make a update of daily paper tracking tool **
    COPY-PASTE FIX
    # awesome-ocr: A Curated List of Promising OCR Resources
  • mediumreadme#3
    Add a clear introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    This repository, awesome-ocr, is a comprehensive and curated collection of valuable resources for Optical Character Recognition (OCR). It aims to provide researchers and developers with a central hub for papers, tools, datasets, and other promising OCR-related materials.

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 wanghaisheng/awesome-ocr
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Textract
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Textract · recommended 2×
  2. Tesseract OCR · recommended 2×
  3. Google Cloud Vision AI · recommended 1×
  4. Microsoft Azure Cognitive Services - Computer Vision (OCR) · recommended 1×
  5. pytesseract · recommended 1×
  • CATEGORY QUERY
    Looking for a comprehensive curated list of promising optical character recognition resources.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Microsoft Azure Cognitive Services - Computer Vision (OCR)
    3. Amazon Textract
    4. Tesseract OCR
    5. pytesseract
    6. ABBYY FineReader Engine / FineReader SDK
    7. PaddleOCR
    8. EasyOCR

    AI recommended 8 alternatives but never named wanghaisheng/awesome-ocr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which cloud OCR services offer robust text recognition for various document types?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI (Document AI)
    2. Amazon Textract
    3. Microsoft Azure AI Vision (Read API)
    4. ABBYY Vantage
    5. Tesseract OCR
    6. Cloudmersive OCR API
    7. OCR.space

    AI recommended 7 alternatives but never named wanghaisheng/awesome-ocr. 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 wanghaisheng/awesome-ocr?
    pass
    AI did not name wanghaisheng/awesome-ocr — 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 wanghaisheng/awesome-ocr in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wanghaisheng/awesome-ocr 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 wanghaisheng/awesome-ocr solve, and who is the primary audience?
    pass
    AI did not name wanghaisheng/awesome-ocr — 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

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

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HTML
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wanghaisheng/awesome-ocr — 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