RRepoGEO

REPOGEO REPORT · LITE

supertone-inc/supertonic

Default branch main · commit dff55dc0 · scanned 6/21/2026, 5:16:51 AM

GitHub: 12,508 stars · 1,284 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 supertone-inc/supertonic, 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 README H1 and first paragraph to explicitly state multi-platform TTS solution

    Why:

    CURRENT
    # Supertonic — Lightning Fast, On-Device, Accurate TTS
    
    <p align="center">
      
    </p>
    
    [](https://github.com/supertone-inc/supertonic)
    [](https://huggingface.co/Supertone/supertonic-3)
    [](https://huggingface.co/spaces/Supertone/supertonic-3)
    [](https://supertonic3.github.io/)
    [](https://supertonic.supertone.ai/voice-builder)
    [](https://github.com/supertone-inc/supertonic-py)
    [](https://supertone-inc.github.io/supertonic-py/)
    
    <p align="center">
      <a href="https://trendshift.io/repositories/15657" target="_blank"></a>
    </p>
    
    **Supertonic** is a lightning-fast, on-device multilingual text-to-speech system designed for local inference with minimal overhead. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.
    COPY-PASTE FIX
    # Supertonic: The Multi-Platform, On-Device, Real-time Text-to-Speech (TTS) Solution
    
    <p align="center">
      
    </p>
    
    [](https://github.com/supertone-inc/supertonic)
    [](https://huggingface.co/Supertone/supertonic-3)
    [](https://huggingface.co/spaces/Supertone/supertonic-3)
    [](https://supertonic3.github.io/)
    [](https://supertonic.supertone.ai/voice-builder)
    [](https://github.com/supertone-inc/supertonic-py)
    [](https://supertone-inc.github.io/supertonic-py/)
    
    <p align="center">
      <a href="https://trendshift.io/repositories/15657" target="_blank"></a>
    </p>
    
    **Supertonic** is a cutting-edge, lightning-fast, on-device multilingual text-to-speech (TTS) solution and library, designed for local inference with minimal overhead across various platforms and programming languages. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.
  • mediumabout#2
    Update the repository description to include 'library' and 'real-time'

    Why:

    CURRENT
    Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
    COPY-PASTE FIX
    Lightning-Fast, On-Device, Multilingual Text-to-Speech (TTS) library and solution for real-time audio generation, running natively via ONNX across various platforms.
  • lowtopics#3
    Add 'real-time' and 'library' to repository topics

    Why:

    CURRENT
    cpp, csharp, flutter, go, ios, java, lightweight, multilingual, nodejs, on-device, onnx, onnxruntime, python, rust, speech-synthesis, swift, text-to-speech, tts, web, webgpu
    COPY-PASTE FIX
    cpp, csharp, flutter, go, ios, java, lightweight, library, multilingual, nodejs, on-device, onnx, onnxruntime, python, real-time, rust, speech-synthesis, swift, text-to-speech, tts, web, webgpu

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 supertone-inc/supertonic
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
coqui-ai/TTS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. coqui-ai/TTS · recommended 2×
  2. mozilla/TTS · recommended 2×
  3. espeak-ng/espeak-ng · recommended 2×
  4. Apple Speech Framework · recommended 1×
  5. Google ML Kit · recommended 1×
  • CATEGORY QUERY
    What are the best on-device text-to-speech solutions for real-time multilingual audio generation?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Google ML Kit
    3. Coqui TTS (coqui-ai/TTS)
    4. Mozilla TTS (mozilla/TTS)
    5. Rhino Speech-to-Text (Picovoice/rhino)
    6. eSpeak NG (espeak-ng/espeak-ng)

    AI recommended 6 alternatives but never named supertone-inc/supertonic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a fast, local inference text-to-speech library for various platforms and programming languages.
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. Piper (rhasspy/piper)
    3. Mozilla TTS (mozilla/TTS)
    4. OpenVINO Toolkit (openvinotoolkit/openvino)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. eSpeak NG (espeak-ng/espeak-ng)

    AI recommended 6 alternatives but never named supertone-inc/supertonic. 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 supertone-inc/supertonic?
    pass
    AI named supertone-inc/supertonic explicitly

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

  • If a team adopts supertone-inc/supertonic in production, what risks or prerequisites should they evaluate first?
    pass
    AI named supertone-inc/supertonic 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 supertone-inc/supertonic solve, and who is the primary audience?
    pass
    AI named supertone-inc/supertonic 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 supertone-inc/supertonic. 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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supertone-inc/supertonic — 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