RRepoGEO

REPOGEO REPORT · LITE

robertknight/ocrs

Default branch main · commit 4bccf6b4 · scanned 5/12/2026, 7:32:44 AM

GitHub: 1,826 stars · 85 forks

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 robertknight/ocrs, 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
    Reposition README H1 to clarify core technology and Rust focus

    Why:

    CURRENT
    # Ocrs

**ocrs** is a Rust library and CLI tool for extracting text from images, also known as OCR (Optical Character Recognition).

The goal is to create a modern OCR engine that:

 - Works well on a wide variety of images... with zero or much less preprocessing effort compared to earlier engines like [Tesseract][tesseract].
    COPY-PASTE FIX
    # Ocrs

**ocrs** is a modern, pure-Rust library and CLI tool for Optical Character Recognition (OCR), designed to extract text from diverse images with minimal preprocessing. Unlike traditional engines like Tesseract, ocrs leverages machine learning extensively, using neural network models trained in PyTorch and executed via ONNX and RTen, to deliver robust performance across scanned documents, photos, and screenshots.
  • hightopics#2
    Add `rust` to repository topics

    Why:

    CURRENT
    computer-vision, machine-learning, ocr
    COPY-PASTE FIX
    computer-vision, machine-learning, ocr, rust
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/robertknight/ocrs

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 robertknight/ocrs
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vision AI · recommended 1×
  2. Amazon Textract · recommended 1×
  3. Microsoft Azure Cognitive Services - Computer Vision (OCR) · recommended 1×
  4. Tesseract OCR · recommended 1×
  5. pytesseract · recommended 1×
  • CATEGORY QUERY
    Looking for a modern library to accurately extract text from diverse images using machine learning.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Textract
    3. Microsoft Azure Cognitive Services - Computer Vision (OCR)
    4. Tesseract OCR
    5. pytesseract
    6. PaddleOCR
    7. EasyOCR

    AI recommended 7 alternatives but never named robertknight/ocrs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Rust options for optical character recognition, especially for scanned documents and photos?
    you: not recommended
    AI recommended (in order):
    1. Tesseract (tesseract-ocr/tesseract)
    2. Google Cloud Vision API
    3. Microsoft Azure Cognitive Services
    4. Baidu OCR API
    5. OpenCV (opencv/opencv)
    6. PaddleOCR (PaddlePaddle/PaddleOCR)

    AI recommended 6 alternatives but never named robertknight/ocrs. 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 robertknight/ocrs?
    pass
    AI did not name robertknight/ocrs — 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 robertknight/ocrs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named robertknight/ocrs 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 robertknight/ocrs solve, and who is the primary audience?
    pass
    AI named robertknight/ocrs explicitly

    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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robertknight/ocrs — RepoGEO report