RRepoGEO

REPOGEO REPORT · LITE

MgArcher/Text_select_captcha

Default branch master · commit dcd1ac31 · scanned 5/14/2026, 5:48:04 PM

GitHub: 1,574 stars · 471 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 MgArcher/Text_select_captcha, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file and state the license clearly

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0). Additionally, add a 'License' section to the README explicitly stating the chosen license.
  • highreadme#2
    Reposition the README's opening to emphasize specialized captcha automation

    Why:

    CURRENT
    一款基于深度学习的高性能验证码识别解决方案，专为文字点选、选字、选择文字等交互式验证码设计。
    COPY-PASTE FIX
    MgArcher/Text_select_captcha 是一个**专为自动化破解和识别文字点选、选字、选择文字等交互式验证码而设计的高性能深度学习系统**。它提供了一个完整的解决方案，而非通用机器学习框架，旨在帮助开发者高效集成验证码自动化处理能力。

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 MgArcher/Text_select_captcha
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
YOLO
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. YOLO · recommended 1×
  2. Mask R-CNN · recommended 1×
  3. tesseract-ocr/tesseract · recommended 1×
  4. Google Cloud Vision API · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How to automate recognition for interactive text selection or click-based captchas?
    you: not recommended
    AI recommended (in order):
    1. YOLO
    2. Mask R-CNN
    3. Tesseract (tesseract-ocr/tesseract)
    4. Google Cloud Vision API
    5. TensorFlow (tensorflow/tensorflow)
    6. PyTorch (pytorch/pytorch)
    7. 2Captcha
    8. Anti-Captcha.com
    9. CapMonster.cloud
    10. OpenCV (opencv/opencv)
    11. Selenium (SeleniumHQ/selenium)
    12. Playwright (microsoft/playwright)
    13. Puppeteer (puppeteer/puppeteer)
    14. captcha-solver

    AI recommended 14 alternatives but never named MgArcher/Text_select_captcha. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a deep learning solution to break image-based character selection captchas.
    you: not recommended
    AI recommended (in order):
    1. Keras
    2. TensorFlow
    3. PyTorch
    4. Fast.ai
    5. OpenCV
    6. MXNet
    7. Caffe

    AI recommended 7 alternatives but never named MgArcher/Text_select_captcha. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 MgArcher/Text_select_captcha?
    pass
    AI did not name MgArcher/Text_select_captcha — 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 MgArcher/Text_select_captcha in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MgArcher/Text_select_captcha 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 MgArcher/Text_select_captcha solve, and who is the primary audience?
    pass
    AI did not name MgArcher/Text_select_captcha — 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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MgArcher/Text_select_captcha — 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