RRepoGEO

REPOGEO REPORT · LITE

pnnbao97/VieNeu-TTS

Default branch main · commit 97f5c8c7 · scanned 5/21/2026, 8:56:52 AM

GitHub: 1,582 stars · 472 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 pnnbao97/VieNeu-TTS, 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 statement for clarity and directness

    Why:

    CURRENT
    **VieNeu-TTS-v2** is the next generation of on-device Vietnamese TTS, featuring **10,000+ hours** of bilingual training, **instant voice cloning**, and a dedicated **Podcast/Conversation** mode.
    COPY-PASTE FIX
    VieNeu-TTS is an open-source, on-device Vietnamese Text-to-Speech (TTS) library featuring instant voice cloning, real-time CPU inference, and multi-speaker support. It offers high-quality 24 kHz audio and bilingual (English-Vietnamese) code-switching.
  • hightopics#2
    Add 'voice-cloning' to the repository topics

    Why:

    CURRENT
    deep-learning, on-device-ml, real-time, speech-synthesis, text-to-speech, tts, vietnamese, vietnamese-language
    COPY-PASTE FIX
    deep-learning, on-device-ml, real-time, speech-synthesis, text-to-speech, tts, vietnamese, vietnamese-language, voice-cloning
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## ⚖️ Comparison with Alternatives
    
    VieNeu-TTS stands out from other solutions by offering:
    
    - **Fully On-Device & Offline:** Unlike cloud-based services (e.g., Google Cloud TTS, Amazon Polly), VieNeu-TTS operates entirely offline, ensuring data privacy and low latency.
    - **Vietnamese & Bilingual Optimization:** While general-purpose TTS libraries like Coqui TTS exist, VieNeu-TTS is specifically trained on 10,000+ hours of bilingual (English-Vietnamese) data, providing unmatched naturalness and seamless code-switching for Vietnamese content.
    - **Instant Voice Cloning:** Achieve high-fidelity voice cloning with just 3-5 seconds of reference audio, a feature often found only in proprietary or more complex systems.
    - **Real-time CPU Inference:** Optimized for performance, allowing real-time speech synthesis even on CPU, making it ideal for on-device applications.

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 pnnbao97/VieNeu-TTS
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. coqui-ai/TTS · recommended 2×
  3. Apple Speech Framework · recommended 1×
  4. Amazon Polly · recommended 1×
  5. espeak-ng/espeak-ng · recommended 1×
  • CATEGORY QUERY
    What are good options for real-time, on-device Vietnamese text-to-speech synthesis?
    you: not recommended
    AI recommended (in order):
    1. Apple Speech Framework
    2. Google Cloud Text-to-Speech
    3. Amazon Polly
    4. Coqui TTS (coqui-ai/TTS)
    5. eSpeak NG (espeak-ng/espeak-ng)
    6. Picovoice
    7. MaryTTS (marytts/marytts)

    AI recommended 7 alternatives but never named pnnbao97/VieNeu-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to perform instant voice cloning and multi-speaker text-to-speech.
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. ElevenLabs
    3. Resemble.ai
    4. Google Cloud Text-to-Speech
    5. Microsoft Azure AI Speech
    6. Meta Voicebox

    AI recommended 6 alternatives but never named pnnbao97/VieNeu-TTS. 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 pnnbao97/VieNeu-TTS?
    pass
    AI named pnnbao97/VieNeu-TTS explicitly

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

  • If a team adopts pnnbao97/VieNeu-TTS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pnnbao97/VieNeu-TTS 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 pnnbao97/VieNeu-TTS solve, and who is the primary audience?
    pass
    AI named pnnbao97/VieNeu-TTS explicitly

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

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pnnbao97/VieNeu-TTS — 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