RRepoGEO

REPOGEO REPORT · LITE

ahmetoner/whisper-asr-webservice

Default branch main · commit d3ef1d90 · scanned 6/27/2026, 5:32:05 AM

GitHub: 3,289 stars · 579 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /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
1 / 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 ahmetoner/whisper-asr-webservice, 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 H1 and opening paragraph to emphasize 'webservice API' and 'Docker deployment'

    Why:

    CURRENT
    # Whisper ASR Box

Whisper ASR Box is a general-purpose speech recognition toolkit.
    COPY-PASTE FIX
    # Whisper ASR Webservice API

Whisper ASR Webservice API provides a robust, self-hosted, and easily deployable solution for OpenAI Whisper's speech-to-text capabilities, designed for developers building applications that require a scalable ASR API via Docker.
  • mediumabout#2
    Enhance the 'About' description to highlight deployment and API aspects

    Why:

    CURRENT
    OpenAI Whisper ASR Webservice API
    COPY-PASTE FIX
    A robust, self-hosted, and easily deployable API service for OpenAI Whisper's speech-to-text capabilities, optimized for production environments via Docker.
  • lowreadme#3
    Add a 'Comparison' or 'Why use this?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Why use Whisper ASR Webservice API?' or '## Comparison to other ASR solutions', with content like: 'Unlike raw Whisper models or foundational ASR libraries like DeepSpeech or Kaldi, Whisper ASR Webservice API provides a ready-to-deploy, production-grade RESTful API. It handles model management, offers multiple output formats, and supports asynchronous processing for long audio files, making it ideal for integrating ASR into your applications without managing the underlying infrastructure complexities.'

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 ahmetoner/whisper-asr-webservice
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mozilla/DeepSpeech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. mozilla/DeepSpeech · recommended 2×
  2. kaldi-asr/kaldi · recommended 2×
  3. alphacep/vosk-api · recommended 1×
  4. k2-fsa/kaldi-asr-server · recommended 1×
  5. Picovoice Rhino Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    How can I deploy a robust speech-to-text API service using Docker?
    you: not recommended
    AI recommended (in order):
    1. Mozilla DeepSpeech (mozilla/DeepSpeech)
    2. Vosk (alphacep/vosk-api)
    3. Kaldi (kaldi-asr/kaldi)
    4. Kaldi-ASR-Server (k2-fsa/kaldi-asr-server)
    5. Picovoice Rhino Speech-to-Text
    6. AssemblyAI
    7. Google Cloud Speech-to-Text

    AI recommended 7 alternatives but never named ahmetoner/whisper-asr-webservice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hosted API for accurate multilingual speech recognition and translation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. NVIDIA Riva (nvidia/riva)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. OpenNMT (OpenNMT/OpenNMT-py)
    5. MarianMT (marian-nmt/marian)
    6. Kaldi (kaldi-asr/kaldi)
    7. SpeechBrain (speechbrain/speechbrain)

    AI recommended 7 alternatives but never named ahmetoner/whisper-asr-webservice. 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 ahmetoner/whisper-asr-webservice?
    pass
    AI did not name ahmetoner/whisper-asr-webservice — 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 ahmetoner/whisper-asr-webservice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ahmetoner/whisper-asr-webservice 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 ahmetoner/whisper-asr-webservice solve, and who is the primary audience?
    pass
    AI did not name ahmetoner/whisper-asr-webservice — 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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ahmetoner/whisper-asr-webservice — 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