RRepoGEO

REPOGEO REPORT · LITE

RapidAI/RapidOCR

Default branch main · commit 00f71b2d · scanned 5/22/2026, 5:37:00 AM

GitHub: 6,614 stars · 635 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 RapidAI/RapidOCR, 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 the README's opening to highlight core strengths

    Why:

    CURRENT
    <b><font size="4"><i>Open source OCR for the security of the digital world</i></font></b>
    COPY-PASTE FIX
    RapidOCR: A high-speed, multi-platform OCR toolkit for efficient offline deployment, leveraging ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT, and PyTorch.
  • mediumreadme#2
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    ## ⚡️ Why RapidOCR? Performance & Differentiators

RapidOCR emphasizes high-speed and accurate OCR, particularly optimized for Chinese characters. It often achieves faster inference times compared to alternatives like PaddleOCR while maintaining competitive accuracy, thanks to its multi-runtime support including ONNX Runtime and OpenVINO.
  • mediumabout#3
    Refine the 'About' description for clarity and impact

    Why:

    CURRENT
    📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
    COPY-PASTE FIX
    RapidOCR: High-speed, multi-platform OCR toolkit for efficient offline deployment, supporting ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT, and PyTorch.

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 RapidAI/RapidOCR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PaddleOCR
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PaddleOCR · recommended 2×
  2. EasyOCR · recommended 2×
  3. Tesseract · recommended 2×
  4. MMOCR · recommended 2×
  5. tesserocr · recommended 1×
  • CATEGORY QUERY
    What are the best open-source OCR libraries supporting multiple deep learning runtimes?
    you: not recommended
    AI recommended (in order):
    1. PaddleOCR
    2. EasyOCR
    3. Tesseract
    4. tesserocr
    5. MMOCR
    6. Keras-OCR

    AI recommended 6 alternatives but never named RapidAI/RapidOCR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient OCR solution optimized for ONNX Runtime and OpenVINO deployment.
    you: not recommended
    AI recommended (in order):
    1. PaddleOCR
    2. EasyOCR
    3. MMOCR
    4. Tesseract
    5. Intel OpenVINO OCR Demos/Models

    AI recommended 5 alternatives but never named RapidAI/RapidOCR. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 RapidAI/RapidOCR?
    pass
    AI named RapidAI/RapidOCR explicitly

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

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

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

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RapidAI/RapidOCR — 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