RRepoGEO

REPOGEO REPORT · LITE

k2-fsa/OmniVoice

Default branch master · commit d8b22aeb · scanned 5/13/2026, 12:27:26 PM

GitHub: 5,843 stars · 835 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 k2-fsa/OmniVoice, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-speech, tts, voice-cloning, multilingual, zero-shot, speech-synthesis, deep-learning, ai, generative-ai, diffusion-model, machine-learning
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://zhu-han.github.io/omnivoice
  • mediumreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Comparison with Alternatives' or '## Why OmniVoice?', detailing how it stands out from other open-source TTS solutions like Coqui TTS, or research models like Bark/Voicebox, focusing on its 600+ language support, zero-shot capabilities, and inference speed.

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 k2-fsa/OmniVoice
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 1×
  2. Azure AI Speech · recommended 1×
  3. ElevenLabs · recommended 1×
  4. Amazon Polly · recommended 1×
  5. Resemble AI · recommended 1×
  • CATEGORY QUERY
    How to achieve high-quality voice cloning and text-to-speech across hundreds of languages?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Azure AI Speech
    3. ElevenLabs
    4. Amazon Polly
    5. Resemble AI
    6. Meta AI

    AI recommended 6 alternatives but never named k2-fsa/OmniVoice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient zero-shot text-to-speech solutions for massively multilingual applications?
    you: not recommended
    AI recommended (in order):
    1. Meta's Voicebox
    2. Google's Bark
    3. ElevenLabs Multilingual v2 Model
    4. Microsoft's VALL-E
    5. Coqui TTS (XTTS v2 model)

    AI recommended 5 alternatives but never named k2-fsa/OmniVoice. 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 k2-fsa/OmniVoice?
    pass
    AI named k2-fsa/OmniVoice explicitly

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

  • If a team adopts k2-fsa/OmniVoice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named k2-fsa/OmniVoice 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 k2-fsa/OmniVoice solve, and who is the primary audience?
    pass
    AI named k2-fsa/OmniVoice explicitly

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

Embed your GEO score

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MARKDOWN (README)
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k2-fsa/OmniVoice — 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