RRepoGEO

REPOGEO REPORT · LITE

MahmoudAshraf97/whisper-diarization

Default branch main · commit 8d87f2e1 · scanned 5/13/2026, 7:12:42 PM

GitHub: 5,519 stars · 500 forks

AI VISIBILITY SCORE
47 /100
Critical
Category recall
1 / 2
Avg rank #8.0 when recommended
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 MahmoudAshraf97/whisper-diarization, 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
    Add a clear positioning statement to the README's introduction

    Why:

    CURRENT
    The current README's "What is it" section starts with: "This repository combines Whisper ASR capabilities with Voice Activity Detection (VAD) and Speaker Embedding to identify the speaker for each sentence in the transcription generated by Whisper."
    COPY-PASTE FIX
    This repository combines Whisper ASR capabilities with Voice Activity Detection (VAD) and Speaker Embedding to identify the speaker for each sentence in the transcription generated by Whisper. It provides a complete, self-hostable, open-source Python solution for multi-speaker audio transcription, offering a powerful alternative to commercial speech-to-text APIs with speaker labeling.
  • mediumtopics#2
    Add 'open-source' and 'python-library' to repository topics

    Why:

    CURRENT
    asr, speaker-diarization, speech, speech-recognition, speech-to-text, whisper
    COPY-PASTE FIX
    asr, speaker-diarization, speech, speech-recognition, speech-to-text, whisper, open-source, python-library
  • lowhomepage#3
    Add the repository URL as the homepage link

    Why:

    COPY-PASTE FIX
    https://github.com/MahmoudAshraf97/whisper-diarization

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
1 / 2
50% of queries surface MahmoudAshraf97/whisper-diarization
Avg rank
#8.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
AssemblyAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AssemblyAI · recommended 2×
  2. Deepgram · recommended 2×
  3. Google Cloud Speech-to-Text API · recommended 2×
  4. AWS Transcribe · recommended 2×
  5. Azure Cognitive Services Speech · recommended 2×
  • CATEGORY QUERY
    How to transcribe spoken audio and automatically identify different speakers in the recording?
    you: not recommended
    AI recommended (in order):
    1. AssemblyAI
    2. Deepgram
    3. Google Cloud Speech-to-Text API
    4. AWS Transcribe
    5. Azure Cognitive Services Speech
    6. OpenAI Whisper (openai/whisper)
    7. Pyannote.Audio (pyannote/pyannote-audio)
    8. Vosk (alphacep/vosk-api)

    AI recommended 8 alternatives but never named MahmoudAshraf97/whisper-diarization. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to perform speech-to-text and label distinct voices in an audio conversation.
    you: #8
    AI recommended (in order):
    1. AssemblyAI
    2. Google Cloud Speech-to-Text API
    3. AWS Transcribe
    4. Azure Cognitive Services Speech
    5. Deepgram
    6. OpenAI Whisper
    7. pyannote.audio
    8. whisper-diarization ← you
    9. Vosk
    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 MahmoudAshraf97/whisper-diarization?
    pass
    AI did not name MahmoudAshraf97/whisper-diarization — 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 MahmoudAshraf97/whisper-diarization in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MahmoudAshraf97/whisper-diarization 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 MahmoudAshraf97/whisper-diarization solve, and who is the primary audience?
    pass
    AI named MahmoudAshraf97/whisper-diarization explicitly

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

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