RRepoGEO

REPOGEO REPORT · LITE

Nutlope/whisper

Default branch main · commit d0c1d867 · scanned 6/12/2026, 1:32:52 PM

GitHub: 505 stars · 79 forks

AI VISIBILITY SCORE
68 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 Nutlope/whisper, 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
    Clarify README's opening to emphasize open-source application

    Why:

    CURRENT
    <p align="center"> An open source audio transcription and transformation app. Powered by Together.ai. </p>
    COPY-PASTE FIX
    <p align="center"> A self-hostable, open-source web application for AI-powered audio transcription and transformation, designed for users who want to own their data and customize their experience. Powered by Together.ai. </p>
  • mediumreadme#2
    Explicitly mention advanced post-processing features

    Why:

    CURRENT
    4. Optionally, transform the transcription using LLMs (summarize, extract, etc.)
    COPY-PASTE FIX
    4. Optionally, transform the transcription using LLMs (e.g., summarize, extract key points, identify speakers, or enable in-browser editing for refinement).

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 Nutlope/whisper
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
4%
Of all named tools, what % are you?
Top rival
Descript
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Descript · recommended 1×
  2. Trint · recommended 1×
  3. ChatGPT · recommended 1×
  4. Claude · recommended 1×
  5. Happy Scribe · recommended 1×
  • CATEGORY QUERY
    What tools help convert spoken audio to text and apply AI for content refinement?
    you: not recommended
    AI recommended (in order):
    1. Descript
    2. Trint
    3. ChatGPT
    4. Claude
    5. Happy Scribe
    6. Jasper
    7. Copy.ai
    8. Otter.ai
    9. Google Gemini
    10. AssemblyAI
    11. GPT-3.5
    12. GPT-4

    AI recommended 12 alternatives but never named Nutlope/whisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement an open source voice transcription app with AI summarization capabilities?
    you: #1
    AI recommended (in order):
    1. Whisper (openai/whisper) ← you
    2. Mozilla DeepSpeech (mozilla/DeepSpeech)
    3. Hugging Face Transformers Library (huggingface/transformers)
    4. BART
    5. T5
    6. Pegasus
    7. SpaCy (explosion/spaCy)
    8. PyAudio (PyAudio/PyAudio)
    9. FFmpeg (FFmpeg/FFmpeg)
    10. pydub (jiaaro/pydub)
    11. Streamlit (streamlit/streamlit)
    12. Gradio (gradio-app/gradio)
    13. Electron (electron/electron)
    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 Nutlope/whisper?
    pass
    AI named Nutlope/whisper explicitly

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

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

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

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MARKDOWN (README)
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Nutlope/whisper — 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