RRepoGEO

REPOGEO REPORT · LITE

thewh1teagle/kokoro-onnx

Default branch main · commit 2bfb160c · scanned 7/1/2026, 7:47:13 AM

GitHub: 2,612 stars · 283 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 thewh1teagle/kokoro-onnx, 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 sentence to clarify project type

    Why:

    CURRENT
    TTS with onnx runtime based on Kokoro-TTS
    COPY-PASTE FIX
    kokoro-onnx is a lightweight Python library for real-time, multi-language Text-to-Speech (TTS) inference, powered by ONNX Runtime and based on Kokoro-TTS models.
  • highabout#2
    Expand the repository description to be more explicit about its purpose

    Why:

    CURRENT
    TTS with kokoro and onnx runtime
    COPY-PASTE FIX
    A lightweight Python library for real-time, multi-language Text-to-Speech (TTS) inference using ONNX Runtime.
  • mediumtopics#3
    Add more specific and unambiguous topics related to Python TTS

    Why:

    CURRENT
    kokoro, onnxruntime, python, tts
    COPY-PASTE FIX
    python, tts, text-to-speech, onnx, onnxruntime, speech-synthesis, python-library, real-time-tts

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 thewh1teagle/kokoro-onnx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coqui TTS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coqui TTS · recommended 2×
  2. VITS · recommended 1×
  3. ESPnet · recommended 1×
  4. OpenVINO Toolkit · recommended 1×
  5. Microsoft Cognitive Services Speech SDK · recommended 1×
  • CATEGORY QUERY
    What are good options for real-time, multi-language text-to-speech inference using ONNX runtime in Python?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS
    2. VITS
    3. ESPnet
    4. OpenVINO Toolkit
    5. Microsoft Cognitive Services Speech SDK

    AI recommended 5 alternatives but never named thewh1teagle/kokoro-onnx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight Python text-to-speech library offering multiple voices and language support.
    you: not recommended
    AI recommended (in order):
    1. gTTS (Google Text-to-Speech)
    2. pyttsx3
    3. Bark
    4. Coqui TTS
    5. espnet

    AI recommended 5 alternatives but never named thewh1teagle/kokoro-onnx. 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 thewh1teagle/kokoro-onnx?
    pass
    AI named thewh1teagle/kokoro-onnx explicitly

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

  • If a team adopts thewh1teagle/kokoro-onnx in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thewh1teagle/kokoro-onnx 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 thewh1teagle/kokoro-onnx solve, and who is the primary audience?
    pass
    AI named thewh1teagle/kokoro-onnx explicitly

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

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thewh1teagle/kokoro-onnx — 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