RRepoGEO

REPOGEO REPORT · LITE

HuiResearch/FlashTTS

Default branch master · commit 4f13df4f · scanned 6/7/2026, 5:16:53 PM

GitHub: 605 stars · 78 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 HuiResearch/FlashTTS, 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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the Apache-2.0 license text.
  • hightopics#2
    Expand repository topics with high-level descriptive keywords

    Why:

    CURRENT
    flashtts, llamacpp-python, megatts3, orpheus-tts, sglang, spark-tts, sparktts, vllm
    COPY-PASTE FIX
    Add: text-to-speech, tts, voice-cloning, speech-synthesis, chinese-tts, real-time-tts, streaming-tts, fastapi, web-application, ai-inference
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Set the homepage URL to https://github.com/HuiResearch/FlashTTS

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 HuiResearch/FlashTTS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PaddlePaddle/PaddleSpeech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PaddlePaddle/PaddleSpeech · recommended 1×
  2. VITS · recommended 1×
  3. espnet/espnet · recommended 1×
  4. coqui-ai/TTS · recommended 1×
  5. OpenVPI/OpenVPI · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source solution for high-quality Chinese text-to-speech with voice cloning.
    you: not recommended
    AI recommended (in order):
    1. PaddleSpeech (PaddlePaddle/PaddleSpeech)
    2. VITS
    3. ESPnet (espnet/espnet)
    4. Coqui TTS (coqui-ai/TTS)
    5. OpenVPI (OpenVPI/OpenVPI)

    AI recommended 5 alternatives but never named HuiResearch/FlashTTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which tools provide accelerated streaming Chinese voice synthesis for high-concurrency web applications?
    you: not recommended
    AI recommended (in order):
    1. Baidu AI Cloud Speech Synthesis (百度智能云语音合成)
    2. Tencent Cloud Speech Synthesis (腾讯云语音合成)
    3. Alibaba Cloud Intelligent Speech Interaction (阿里云智能语音交互)
    4. Microsoft Azure Cognitive Services - Speech (Chinese)
    5. Google Cloud Text-to-Speech (Chinese)
    6. iFLYTEK Speech Synthesis (科大讯飞语音合成)

    AI recommended 6 alternatives but never named HuiResearch/FlashTTS. 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 HuiResearch/FlashTTS?
    pass
    AI named HuiResearch/FlashTTS explicitly

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

  • If a team adopts HuiResearch/FlashTTS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HuiResearch/FlashTTS 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 HuiResearch/FlashTTS solve, and who is the primary audience?
    pass
    AI named HuiResearch/FlashTTS 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 HuiResearch/FlashTTS. 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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HuiResearch/FlashTTS — 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
HuiResearch/FlashTTS — RepoGEO report