RRepoGEO

REPOGEO REPORT · LITE

Ayanaminn/N46Whisper

Default branch main · commit 28008a5a · scanned 5/8/2026, 9:32:47 PM

GitHub: 1,708 stars · 146 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 Ayanaminn/N46Whisper, 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 opening to clarify project nature and maintenance status

    Why:

    CURRENT
    # N46Whisper
    
    Language : English | [简体中文](./README_CN.md) 
    
    N46Whisper is a Google Colab notebook application that developed for streamlined video subtitle file generation to improve productivity of Nogizaka46 (and Sakamichi groups) subbers.
    
    The notebook is based on faster-whisper, a reimplementation of OpenAI's Whisper , a general-prupose speech recognition model.
    This implementation is up to 4 times faster than original Whisper for the same accuracy while using less memory.
    
    ...
    ## What's Latest:
    
    **This project will NO LONGER be maintained. Thanks for all your support.**
    COPY-PASTE FIX
    # N46Whisper (NO LONGER MAINTAINED)
    
    **This project is no longer maintained. Thank you for your support.**
    
    N46Whisper is a Google Colab notebook application designed for streamlined video subtitle file generation, specifically to improve the productivity of Nogizaka46 (and Sakamichi groups) subbers. It leverages faster-whisper, a highly optimized reimplementation of OpenAI's Whisper model, to generate Advanced SubStation Alpha (ASS) format subtitles with built-in styling.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    japanese-subtitles, whisper, google-colab, faster-whisper, ass-subtitles, nogizaka46, sakamichi-series, speech-to-text, ai-translation, subtitle-generator
  • mediumhomepage#3
    Add the Google Colab notebook link as the repository homepage

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to the direct link of the main Google Colab notebook, which is currently referenced in the 'How to use' section of the README.

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 Ayanaminn/N46Whisper
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Happy Scribe
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Happy Scribe · recommended 2×
  2. Trint · recommended 2×
  3. Google Cloud Speech-to-Text API · recommended 1×
  4. AWS Transcribe · recommended 1×
  5. Azure Cognitive Services Speech · recommended 1×
  • CATEGORY QUERY
    How to automatically generate Japanese subtitles for video files using AI speech recognition?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. AWS Transcribe
    3. Azure Cognitive Services Speech
    4. DeepL Speech-to-Text (Beta)
    5. Veed.io
    6. Happy Scribe
    7. Trint

    AI recommended 7 alternatives but never named Ayanaminn/N46Whisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a fast AI tool to create styled Japanese subtitles in ASS format.
    you: not recommended
    AI recommended (in order):
    1. Whisper Desktop
    2. Happy Scribe
    3. Trint
    4. Amara
    5. Subly

    AI recommended 5 alternatives but never named Ayanaminn/N46Whisper. 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 Ayanaminn/N46Whisper?
    pass
    AI did not name Ayanaminn/N46Whisper — 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 Ayanaminn/N46Whisper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Ayanaminn/N46Whisper 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 Ayanaminn/N46Whisper solve, and who is the primary audience?
    pass
    AI named Ayanaminn/N46Whisper 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite