RRepoGEO

REPOGEO REPORT · LITE

Softcatala/whisper-ctranslate2

Default branch main · commit 7c069132 · scanned 6/18/2026, 10:28:08 AM

GitHub: 1,320 stars · 124 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
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 the README's opening sentence to highlight core differentiators

    Why:

    CURRENT
    Whisper command line client compatible with original OpenAI client based on CTranslate2.
    COPY-PASTE FIX
    A high-performance command-line client for OpenAI Whisper, leveraging CTranslate2 and Faster-whisper for significantly faster and more memory-efficient audio transcription, while maintaining full compatibility with the original OpenAI client.
  • highabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://pypi.org/project/whisper-ctranslate2/
  • mediumtopics#3
    Refine repository topics to include key differentiators

    Why:

    CURRENT
    openai-, openai-whisper, speech-recognition, speech-to-text, whisper
    COPY-PASTE FIX
    openai-, openai-whisper, speech-recognition, speech-to-text, whisper, faster-whisper, ctranslate2, speaker-diarization, voice-activity-detection, cli-tool

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
Kaldi
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaldi · recommended 2×
  2. Whisper.cpp · recommended 1×
  3. Faster Whisper · recommended 1×
  4. NVIDIA Riva · recommended 1×
  5. OpenVINO · recommended 1×
  • CATEGORY QUERY
    How to achieve significantly faster and more memory-efficient audio transcription?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp
    2. Faster Whisper
    3. NVIDIA Riva
    4. OpenVINO
    5. AWS Transcribe Streaming
    6. Google Cloud Speech-to-Text Streaming
    7. DeepSpeech
    8. Coqui TTS
    9. Kaldi

    AI recommended 9 alternatives but never named Softcatala/whisper-ctranslate2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a command-line speech recognition tool with speaker diarization and VAD.
    you: not recommended
    AI recommended (in order):
    1. WhisperX
    2. OpenAI Whisper
    3. pyannote.audio
    4. Vosk
    5. Mozilla DeepSpeech
    6. webrtcvad
    7. Kaldi

    AI recommended 7 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?

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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