RRepoGEO

REPOGEO REPORT · LITE

Sharrnah/whispering

Default branch main · commit 7e3747e8 · scanned 6/17/2026, 8:32:40 AM

GitHub: 534 stars · 42 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 Sharrnah/whispering, 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
  • hightopics#1
    Add specific topics for live transcription and streaming

    Why:

    COPY-PASTE FIX
    ["live-transcription", "live-translation", "speech-to-text", "streaming-overlay", "vrchat", "obs", "openai-whisper", "whisper-ai", "osc", "websocket", "realtime-audio"]
  • highreadme#2
    Reposition the README's opening sentence to emphasize live application

    Why:

    CURRENT
    Whispering Tiger is a free and Open-Source tool that can listen/watch to any **audio stream** or **in-game image** on your machine and prints out the transcription or translation to a web browser using Websockets or over OSC (examples are **Streaming-overlays** or **VRChat**).
    COPY-PASTE FIX
    Whispering Tiger is a free and open-source **application** for **real-time audio transcription and translation**, specifically designed for **live streaming overlays (e.g., OBS)** and **VRChat**. It processes audio or in-game images locally using OpenAI's Whisper and outputs transcriptions/translations via Websockets or OSC.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Provide a URL to the project's official website, documentation, or a dedicated landing page]

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 Sharrnah/whispering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. VB-Audio Cable · recommended 1×
  3. Google Cloud Speech-to-Text API · recommended 1×
  4. Google Translate API · recommended 1×
  5. Azure Cognitive Services Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    How to get real-time audio transcription and translation for live streams or VRChat?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. VB-Audio Cable
    3. Google Cloud Speech-to-Text API
    4. Google Translate API
    5. Azure Cognitive Services Speech-to-Text
    6. Azure Translator Text API
    7. DeepL API
    8. VoiceAttack
    9. Windows Speech Recognition
    10. VRChat OSC Text

    AI recommended 10 alternatives but never named Sharrnah/whispering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to provide live speech-to-text overlays for OBS using AI models.
    you: not recommended
    AI recommended (in order):
    1. OBS Studio
    2. Google Cloud Speech-to-Text
    3. Streamlabs Desktop
    4. VoiceMeeter Potato
    5. VoiceMeeter Banana
    6. Waves Clarity Vx Pro
    7. iZotope RX 10 Voice De-noise
    8. Web Captioner
    9. Streamlabs Cloudbot
    10. SpeechText.AI
    11. Deepgram
    12. Microsoft Azure Cognitive Services Speech
    13. Google Chrome
    14. Live Caption

    AI recommended 14 alternatives but never named Sharrnah/whispering. 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 Sharrnah/whispering?
    pass
    AI did not name Sharrnah/whispering — 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 Sharrnah/whispering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Sharrnah/whispering 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 Sharrnah/whispering solve, and who is the primary audience?
    pass
    AI named Sharrnah/whispering explicitly

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

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Sharrnah/whispering — 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