RRepoGEO

REPOGEO REPORT · LITE

innovatorved/whisper.api

Default branch main · commit 25883d9b · scanned 6/10/2026, 1:48:21 AM

GitHub: 916 stars · 38 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 innovatorved/whisper.api, 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
  • highabout#1
    Update the GitHub repository description to highlight key differentiators

    Why:

    CURRENT
    This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.
    COPY-PASTE FIX
    A self-hosted, Deepgram-compatible API for speech-to-text transcription, powered by Whisper ASR, with advanced features like speaker diarization and custom vocabulary.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    asr, innovatorved, transcribe, whisper
    COPY-PASTE FIX
    asr, transcribe, whisper, speech-to-text-api, self-hosted-api, deepgram-compatible, speaker-diarization, custom-vocabulary, innovatorved
  • mediumreadme#3
    Integrate Deepgram compatibility and advanced features into the README's first sentence

    Why:

    CURRENT
    An open-source, high-performance, self-hosted API for speech-to-text transcription powered by whisper.cpp. This project provides a **Deepgram-compatible** interface (REST & WebSocket), making it easy to integrate into existing workflows while maintaining full data ownership.
    COPY-PASTE FIX
    An open-source, high-performance, **Deepgram-compatible** self-hosted API for speech-to-text transcription, powered by whisper.cpp. It offers advanced features like speaker diarization and custom vocabulary, making it easy to integrate into existing workflows while maintaining full data ownership.

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 innovatorved/whisper.api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 2×
  2. Mozilla DeepSpeech · recommended 2×
  3. Kaldi · recommended 2×
  4. Vosk · recommended 2×
  5. NVIDIA Riva · recommended 1×
  • CATEGORY QUERY
    How can I self-host a Deepgram-compatible speech-to-text API for audio transcription?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. NVIDIA Riva
    3. Mozilla DeepSpeech
    4. Kaldi
    5. Vosk

    AI recommended 5 alternatives but never named innovatorved/whisper.api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source ASR solution with speaker diarization and custom vocabulary support.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo
    2. Whisper
    3. Kaldi
    4. Mozilla DeepSpeech
    5. pyannote.audio
    6. SpeechBrain
    7. Vosk

    AI recommended 7 alternatives but never named innovatorved/whisper.api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 innovatorved/whisper.api?
    pass
    AI named innovatorved/whisper.api explicitly

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

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

    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 innovatorved/whisper.api. 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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innovatorved/whisper.api — 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