RRepoGEO

REPOGEO REPORT · LITE

kadirnar/whisper-plus

Default branch main · commit 1b54cc72 · scanned 5/16/2026, 12:11:42 AM

GitHub: 1,949 stars · 146 forks

AI VISIBILITY SCORE
35 /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
3 / 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 kadirnar/whisper-plus, 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
  • highreadme#1
    Reposition the README H1 to highlight unique features

    Why:

    CURRENT
    <h2>WhisperPlus: Faster, Smarter, and More Capable 🚀</h2>
    COPY-PASTE FIX
    <h2>WhisperPlus: Advanced Speech-to-Text with Diarization, Translation, and Summarization 🚀</h2>
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://pypi.org/project/whisperplus

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 kadirnar/whisper-plus
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AssemblyAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AssemblyAI · recommended 2×
  2. Google Cloud Speech-to-Text · recommended 2×
  3. OpenAI Whisper · recommended 1×
  4. yt-dlp · recommended 1×
  5. Deepgram · recommended 1×
  • CATEGORY QUERY
    How to quickly transcribe audio from YouTube videos using a Python library?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. yt-dlp
    3. AssemblyAI
    4. Google Cloud Speech-to-Text
    5. Deepgram
    6. Vosk

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient Python library for high-accuracy speech-to-text transcription.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Google Cloud Speech-to-Text
    3. AssemblyAI
    4. AWS Transcribe
    5. Microsoft Azure Speech-to-Text
    6. DeepSpeech (mozilla/DeepSpeech)
    7. Vosk (alphacep/vosk-api)

    AI recommended 7 alternatives but never named kadirnar/whisper-plus. 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 kadirnar/whisper-plus?
    pass
    AI named kadirnar/whisper-plus explicitly

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

  • If a team adopts kadirnar/whisper-plus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kadirnar/whisper-plus 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 kadirnar/whisper-plus solve, and who is the primary audience?
    pass
    AI named kadirnar/whisper-plus explicitly

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

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kadirnar/whisper-plus — 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