RRepoGEO

REPOGEO REPORT · LITE

hwalsuklee/awesome-deep-text-detection-recognition

Default branch master · commit 0958b387 · scanned 5/28/2026, 1:47:43 AM

GitHub: 2,526 stars · 505 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 hwalsuklee/awesome-deep-text-detection-recognition, 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 README's opening to emphasize its role as a curated index of research, not an implementation

    Why:

    CURRENT
    A curated list of awesome deep learning based papers on text detection and recognition.
    COPY-PASTE FIX
    This repository is a comprehensive, curated index of cutting-edge research papers, code, and datasets focused on deep learning for text detection and recognition (OCR). It serves as a vital starting point for researchers and developers seeking to explore or implement these methods, rather than providing direct implementations.
  • mediumcomparison#2
    Add a 'Comparison' section to explicitly differentiate from implementation repositories

    Why:

    COPY-PASTE FIX
    ## Comparison with other repositories
    
    This repository is a curated list of research papers, code, and datasets, serving as an index for the field of deep learning-based text detection and recognition. Unlike projects such as CRAFT, EAST, or DB, this repository does not provide an executable implementation or a pre-trained model. Instead, it guides researchers and developers to the relevant resources for these methods.
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/hwalsuklee/awesome-deep-text-detection-recognition

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 hwalsuklee/awesome-deep-text-detection-recognition
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CRAFT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CRAFT · recommended 2×
  2. EAST · recommended 2×
  3. TextSnake · recommended 2×
  4. DB · recommended 1×
  5. PSENet · recommended 1×
  • CATEGORY QUERY
    What are the latest deep learning methods for accurate text detection in images?
    you: not recommended
    AI recommended (in order):
    1. CRAFT
    2. DB
    3. PSENet
    4. EAST
    5. TextSnake
    6. Mask R-CNN

    AI recommended 6 alternatives but never named hwalsuklee/awesome-deep-text-detection-recognition. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a comprehensive list of research papers on deep learning for OCR tasks.
    you: not recommended
    AI recommended (in order):
    1. LeNet-5
    2. Deep TextSpotter
    3. EAST
    4. Mask TextSpotter
    5. CRAFT
    6. TextSnake
    7. CRNN
    8. STN-CRNN
    9. ASTER
    10. SAR
    11. TrOCR
    12. LayoutLM
    13. LayoutLMv2
    14. LayoutLMv3
    15. DocFormer

    AI recommended 15 alternatives but never named hwalsuklee/awesome-deep-text-detection-recognition. 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 hwalsuklee/awesome-deep-text-detection-recognition?
    pass
    AI did not name hwalsuklee/awesome-deep-text-detection-recognition — 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 hwalsuklee/awesome-deep-text-detection-recognition in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hwalsuklee/awesome-deep-text-detection-recognition 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 hwalsuklee/awesome-deep-text-detection-recognition solve, and who is the primary audience?
    pass
    AI did not name hwalsuklee/awesome-deep-text-detection-recognition — 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?

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hwalsuklee/awesome-deep-text-detection-recognition — 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