RRepoGEO

REPOGEO REPORT · LITE

alphacep/vosk-server

Default branch master · commit 47998a26 · scanned 6/22/2026, 6:17:52 PM

GitHub: 1,259 stars · 319 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
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 alphacep/vosk-server, 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
    Clarify server's unique value proposition over Vosk-API library in README

    Why:

    CURRENT
    This is a server for highly accurate offline speech recognition using Kaldi and Vosk-API.
    COPY-PASTE FIX
    This project provides ready-to-deploy server implementations for highly accurate offline speech recognition, leveraging Kaldi and Vosk-API. It offers robust network protocols (MQTT, gRPC, WebRTC, WebSocket) for easy integration, differentiating it from direct use of the Vosk-API library.
  • highhomepage#2
    Add the official Vosk website as the repository homepage

    Why:

    COPY-PASTE FIX
    https://alphacep.com/vosk/
  • mediumreadme#3
    Add a 'Why Vosk-Server?' section to highlight key differentiators

    Why:

    COPY-PASTE FIX
    ## Why Vosk-Server?

Choose `vosk-server` for an open-source, offline, and real-time speech recognition solution that prioritizes data privacy and avoids recurring cloud costs. Deploy it on-premise or as a backend for streaming applications, gaining full control over your speech-to-text infrastructure.

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 alphacep/vosk-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kaldi-asr/kaldi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kaldi-asr/kaldi · recommended 1×
  2. alphacep/vosk-api · recommended 1×
  3. mozilla/DeepSpeech · recommended 1×
  4. Picovoice/rhino · recommended 1×
  5. Picovoice/porcupine · recommended 1×
  • CATEGORY QUERY
    What's a good server for offline speech recognition with WebSocket and gRPC?
    you: not recommended
    AI recommended (in order):
    1. Kaldi (kaldi-asr/kaldi)
    2. Vosk-API (alphacep/vosk-api)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Picovoice Rhino (Picovoice/rhino)
    5. Picovoice Porcupine (Picovoice/porcupine)
    6. OpenAI Whisper (openai/whisper)
    7. CMU Sphinx (cmusphinx/pocketsphinx)

    AI recommended 7 alternatives but never named alphacep/vosk-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement real-time speech-to-text for web applications using WebRTC?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. AssemblyAI
    3. AWS Transcribe Streaming
    4. Deepgram
    5. Vosk
    6. Mozilla DeepSpeech

    AI recommended 6 alternatives but never named alphacep/vosk-server. 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 alphacep/vosk-server?
    pass
    AI named alphacep/vosk-server explicitly

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

  • If a team adopts alphacep/vosk-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alphacep/vosk-server 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 alphacep/vosk-server solve, and who is the primary audience?
    pass
    AI named alphacep/vosk-server explicitly

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

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alphacep/vosk-server — 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