RRepoGEO

REPOGEO REPORT · LITE

kyutai-labs/pocket-tts

Default branch main · commit 15a6c181 · scanned 6/18/2026, 2:21:41 AM

GitHub: 4,621 stars · 512 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
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 kyutai-labs/pocket-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
  • hightopics#1
    Add comprehensive topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    text-to-speech, tts, cpu-inference, on-device, low-latency, python, speech-synthesis, multi-language, voice-cloning, machine-learning, deep-learning, audio-generation
  • highreadme#2
    Reposition the README's opening sentence for clearer developer focus

    Why:

    CURRENT
    A lightweight text-to-speech (TTS) application designed to run efficiently on CPUs.
    COPY-PASTE FIX
    Pocket TTS is a lightweight, multi-language Python library for text-to-speech (TTS), designed for efficient, low-latency CPU inference in local applications, eliminating the need for GPUs or cloud APIs.
  • mediumcomparison#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README titled 'Comparison to Alternatives' that briefly outlines how Pocket TTS differentiates itself from other CPU-based or general TTS solutions (e.g., Mozilla TTS, eSpeak NG, Piper), focusing on its Python library nature, low-latency, multi-language support, and on-device efficiency.

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 kyutai-labs/pocket-tts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mozilla TTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mozilla TTS · recommended 1×
  2. espeak-ng/espeak-ng · recommended 1×
  3. PicoTTS · recommended 1×
  4. RHVoice/RHVoice · recommended 1×
  5. suno-ai/bark · recommended 1×
  • CATEGORY QUERY
    How to implement text-to-speech without needing a dedicated GPU or cloud API?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS
    2. eSpeak NG (espeak-ng/espeak-ng)
    3. PicoTTS
    4. RHVoice (RHVoice/RHVoice)
    5. Bark (suno-ai/bark)
    6. Coqui TTS (coqui-ai/TTS)

    AI recommended 6 alternatives but never named kyutai-labs/pocket-tts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python libraries for low-latency, multi-language speech synthesis for local applications?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS
    2. ESPnet
    3. OpenVINO
    4. Piper
    5. Bark
    6. Hugging Face Transformers
    7. eSpeak NG

    AI recommended 7 alternatives but never named kyutai-labs/pocket-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
    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 kyutai-labs/pocket-tts?
    pass
    AI named kyutai-labs/pocket-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 kyutai-labs/pocket-tts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyutai-labs/pocket-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 kyutai-labs/pocket-tts solve, and who is the primary audience?
    pass
    AI named kyutai-labs/pocket-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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kyutai-labs/pocket-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