RRepoGEO

REPOGEO REPORT · LITE

MahmoudAshraf97/whisper-diarization

Default branch main · commit 8d87f2e1 · scanned 6/24/2026, 6:08:00 AM

GitHub: 5,572 stars · 502 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
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 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
    Reposition the README's opening to highlight its integrated pipeline nature

    Why:

    COPY-PASTE FIX
    Add this sentence prominently near the top of the README, perhaps right after the main H1 or as the first paragraph: "This project provides a complete, integrated solution for attributing speech to speakers, combining OpenAI Whisper's ASR with robust speaker diarization, designed for easy local deployment."
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a link to a live demo, documentation, or a project page (e.g., a Hugging Face Space, ReadTheDocs, or GitHub Pages site) in the repository's 'About' section.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Why Choose Whisper-Diarization?' or 'Comparison with Alternatives', that explicitly highlights its advantages over standalone libraries like `pyannote.audio` or cloud APIs, focusing on its integrated, easy-to-use, local pipeline approach.

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 MahmoudAshraf97/whisper-diarization
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pyannote.audio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pyannote.audio · recommended 2×
  2. Google Cloud Speech-to-Text API · recommended 2×
  3. Whisper (OpenAI) · recommended 1×
  4. AssemblyAI · recommended 1×
  5. AWS Transcribe · recommended 1×
  • CATEGORY QUERY
    Need a library to transcribe audio and identify distinct speakers in the conversation.
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI)
    2. pyannote.audio
    3. AssemblyAI
    4. Google Cloud Speech-to-Text API
    5. AWS Transcribe
    6. Vosk (Alpha Cephei)

    AI recommended 6 alternatives but never named MahmoudAshraf97/whisper-diarization. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a solution to automatically segment speech by speaker from an audio recording.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo
    2. pyannote.audio
    3. Google Cloud Speech-to-Text API
    4. Amazon Transcribe
    5. Microsoft Azure Cognitive Services - Speech
    6. OpenVoiceOS (OVOS) Speaker Diarization
    7. SpeechBrain

    AI recommended 7 alternatives but never named MahmoudAshraf97/whisper-diarization. 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 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 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?

Embed your GEO score

Drop this badge into the README of MahmoudAshraf97/whisper-diarization. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/MahmoudAshraf97/whisper-diarization.svg)](https://repogeo.com/en/r/MahmoudAshraf97/whisper-diarization)
HTML
<a href="https://repogeo.com/en/r/MahmoudAshraf97/whisper-diarization"><img src="https://repogeo.com/badge/MahmoudAshraf97/whisper-diarization.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MahmoudAshraf97/whisper-diarization — 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