RRepoGEO

REPOGEO REPORT · LITE

linto-ai/whisper-timestamped

Default branch master · commit 137f4e04 · scanned 5/9/2026, 5:22:03 PM

GitHub: 2,813 stars · 211 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 linto-ai/whisper-timestamped, 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 to specify it's an open-source Python library

    Why:

    CURRENT
    Multilingual Automatic Speech Recognition with word-level timestamps and confidence.
    COPY-PASTE FIX
    An open-source Python library for Multilingual Automatic Speech Recognition with robust word-level timestamps and confidence. `whisper-timestamped` extends OpenAI's Whisper model, offering precise alignment for developers and researchers who need detailed audio analysis beyond what typical segment-level outputs or commercial APIs provide.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/linto-ai/whisper-timestamped
  • mediumtopics#3
    Add 'open-source' and 'python-library' to the repository topics

    Why:

    CURRENT
    asr, attention-is-all-you-need, attention-mechanism, attention-model, attention-network, attention-seq2seq, attention-visualization, deep-learning, machine-learning, multilingual-models, python, python3, pytorch, speaker-diarization, speech, speech-processing, speech-recognition, speech-to-text, transformers, whisper
    COPY-PASTE FIX
    asr, attention-is-all-you-need, attention-mechanism, attention-model, attention-network, attention-seq2seq, attention-visualization, deep-learning, machine-learning, multilingual-models, open-source, python, python3, python-library, pytorch, speaker-diarization, speech, speech-processing, speech-recognition, speech-to-text, transformers, whisper

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 linto-ai/whisper-timestamped
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. Deepgram · recommended 2×
  3. AWS Transcribe · recommended 2×
  4. Google Cloud Speech-to-Text · recommended 2×
  5. Azure Cognitive Services Speech · recommended 2×
  • CATEGORY QUERY
    How to get accurate speech to text transcription with word-level timing information?
    you: not recommended
    AI recommended (in order):
    1. AssemblyAI
    2. Deepgram
    3. AWS Transcribe
    4. Google Cloud Speech-to-Text
    5. Azure Cognitive Services Speech
    6. OpenAI Whisper
    7. Rev.ai

    AI recommended 7 alternatives but never named linto-ai/whisper-timestamped. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool provides multilingual audio transcription with per-word confidence scores?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. AWS Transcribe
    3. Azure Cognitive Services Speech
    4. Deepgram
    5. AssemblyAI
    6. OpenAI Whisper (openai/whisper)
    7. Rev.ai

    AI recommended 7 alternatives but never named linto-ai/whisper-timestamped. 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 linto-ai/whisper-timestamped?
    pass
    AI named linto-ai/whisper-timestamped explicitly

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

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