RRepoGEO

REPOGEO REPORT · LITE

Softcatala/whisper-ctranslate2

Default branch main · commit 7c069132 · scanned 5/8/2026, 6:48:09 PM

GitHub: 1,298 stars · 125 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 Softcatala/whisper-ctranslate2, 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 README's core value proposition

    Why:

    CURRENT
    Whisper command line client compatible with original OpenAI client based on CTranslate2.
    COPY-PASTE FIX
    This is a **faster, enhanced Whisper command-line client** that is fully compatible with the original OpenAI client. It leverages CTranslate2 and Faster-whisper for significantly improved performance, lower memory usage, and advanced features like speaker diarization and live transcription.
  • hightopics#2
    Add specific technical and feature topics

    Why:

    CURRENT
    openai-, openai-whisper, speech-recognition, speech-to-text, whisper
    COPY-PASTE FIX
    openai-whisper, speech-recognition, speech-to-text, whisper, faster-whisper, ctranslate2, speaker-diarization, live-transcription, audio-transcription-cli
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Softcatala/whisper-ctranslate2

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 Softcatala/whisper-ctranslate2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper (OpenAI)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper (OpenAI) · recommended 1×
  2. Vosk · recommended 1×
  3. DeepSpeech (Mozilla) · recommended 1×
  4. AssemblyAI CLI · recommended 1×
  5. Google Cloud Speech-to-Text CLI · recommended 1×
  • CATEGORY QUERY
    Looking for a fast and efficient audio transcription CLI tool for large files.
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI)
    2. Vosk
    3. DeepSpeech (Mozilla)
    4. AssemblyAI CLI
    5. Google Cloud Speech-to-Text CLI
    6. AWS Transcribe CLI

    AI recommended 6 alternatives but never named Softcatala/whisper-ctranslate2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I get accurate speech-to-text with speaker identification from a microphone?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. AWS Transcribe
    3. Azure Cognitive Services Speech-to-Text
    4. AssemblyAI
    5. Deepgram
    6. OpenAI Whisper
    7. pyannote.audio (pyannote/pyannote-audio)
    8. NVIDIA NeMo (NVIDIA/NeMo)

    AI recommended 8 alternatives but never named Softcatala/whisper-ctranslate2. 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 Softcatala/whisper-ctranslate2?
    pass
    AI named Softcatala/whisper-ctranslate2 explicitly

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

  • If a team adopts Softcatala/whisper-ctranslate2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Softcatala/whisper-ctranslate2 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 Softcatala/whisper-ctranslate2 solve, and who is the primary audience?
    pass
    AI did not name Softcatala/whisper-ctranslate2 — 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 Softcatala/whisper-ctranslate2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Softcatala/whisper-ctranslate2 — 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