RRepoGEO

REPOGEO REPORT · LITE

kyutai-labs/pocket-tts

Default branch main · commit 2dff8a2d · scanned 5/8/2026, 10:53:00 AM

GitHub: 4,250 stars · 474 forks

AI VISIBILITY SCORE
28 /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
2 / 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["text-to-speech", "tts", "cpu-only", "offline", "on-device", "python", "multi-language", "voice-cloning", "low-latency", "edge-ai"]
  • highreadme#2
    Reposition the README opening to emphasize core differentiators

    Why:

    CURRENT
    # Pocket TTS

A lightweight text-to-speech (TTS) application designed to run efficiently on CPUs. Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS, generating audio is just a pip install and a function call away.
    COPY-PASTE FIX
    # Pocket TTS: The Compact, CPU-Only, Multi-Language TTS Engine

Pocket TTS is a lightweight, multi-language text-to-speech (TTS) engine designed for efficient, entirely local operation on CPUs. Forget about the hassle of GPUs, web APIs, or large models; Pocket TTS delivers fast, on-device audio generation with a simple Python API.
  • mediumabout#3
    Update the repository description for clarity and keyword alignment

    Why:

    CURRENT
    A TTS that fits in your CPU (and pocket)
    COPY-PASTE FIX
    A compact, multi-language text-to-speech engine for fast, offline CPU inference.

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
coqui-ai/TTS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. coqui-ai/TTS · recommended 2×
  2. espnet/espnet · recommended 2×
  3. espeak-ng/espeak-ng · recommended 2×
  4. marytts/marytts · recommended 2×
  5. rhasspy/piper · recommended 1×
  • CATEGORY QUERY
    How can I integrate a fast, offline text-to-speech engine into my Python application?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS (Coqui TTS) (coqui-ai/TTS)
    2. ESPnet (espnet/espnet)
    3. Piper (rhasspy/piper)
    4. eSpeak NG (espeak-ng/espeak-ng)
    5. Pico TTS (SVOX Pico)
    6. MaryTTS (marytts/marytts)

    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 options for a compact, multi-language TTS library that runs locally on CPU?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. Mozilla TTS (mozilla/TTS)
    3. ESPnet (espnet/espnet)
    4. OpenTTS (synesthesiam/opentts)
    5. MaryTTS (marytts/marytts)
    6. eSpeak NG (espeak-ng/espeak-ng)

    AI recommended 6 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 did not name kyutai-labs/pocket-tts — likely talking about a different project

    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