RRepoGEO

REPOGEO REPORT · LITE

nazdridoy/kokoro-tts

Default branch main · commit 3f8f8464 · scanned 5/16/2026, 7:26:37 AM

GitHub: 1,468 stars · 153 forks

AI VISIBILITY SCORE
27 /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
1 / 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 nazdridoy/kokoro-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 to emphasize offline CLI document processing

    Why:

    CURRENT
    A CLI text-to-speech tool using the Kokoro model, supporting multiple languages, voices (with blending), and various input formats including EPUB books and PDF documents.
    COPY-PASTE FIX
    Kokoro TTS is a powerful, **fully offline command-line interface (CLI) tool** designed for converting various document formats, including **EPUB books and PDF documents**, into natural-sounding speech. It leverages the Kokoro model to offer multi-language and multi-voice support with blending, making it ideal for creating audiobooks, podcasts, or simply listening to long-form content directly from your terminal.
  • hightopics#2
    Add specific topics to highlight CLI and offline capabilities

    Why:

    CURRENT
    audiobook, epub, kokoro, kokoro-tts, pdf, podcast, python, tts
    COPY-PASTE FIX
    audiobook, cli, command-line, epub, kokoro, kokoro-tts, offline, pdf, podcast, python, text-to-speech, tts
  • mediumreadme#3
    Add a 'Why Choose Kokoro TTS?' section to differentiate from alternatives

    Why:

    COPY-PASTE FIX
    ## Why Choose Kokoro TTS?

Unlike cloud-based services or browser extensions, Kokoro TTS is a **fully offline CLI tool** that processes your documents locally, ensuring privacy and consistent performance without internet dependency. It stands out from typical text-to-speech libraries by offering direct support for **EPUB and PDF document conversion**, making it uniquely suited for creating audio versions of your entire book or article collection.

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 nazdridoy/kokoro-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. Speechify · recommended 1×
  3. NaturalReader · recommended 1×
  4. Voice Dream Reader · recommended 1×
  5. Balabolka · recommended 1×
  • CATEGORY QUERY
    How can I convert PDF and EPUB documents into natural-sounding speech audio?
    you: not recommended
    AI recommended (in order):
    1. Speechify
    2. NaturalReader
    3. Voice Dream Reader
    4. Balabolka
    5. Calibre (kovidgoyal/calibre)
    6. NVDA (nvaccess/nvda)
    7. JAWS
    8. Adobe Acrobat Reader
    9. Audacity (audacity/audacity)
    10. OBS Studio (obsproject/obs-studio)
    11. Google Cloud Text-to-Speech
    12. Amazon Polly
    13. Microsoft Azure Text to Speech

    AI recommended 13 alternatives but never named nazdridoy/kokoro-tts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a command-line tool to generate speech from text with custom voices and MP3 output.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. AWS Polly
    3. Microsoft Azure Cognitive Services Speech
    4. Coqui TTS (coqui-ai/TTS)
    5. Piper (rhasspy/piper)
    6. ElevenLabs
    7. OpenAI TTS

    AI recommended 7 alternatives but never named nazdridoy/kokoro-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 nazdridoy/kokoro-tts?
    pass
    AI did not name nazdridoy/kokoro-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 nazdridoy/kokoro-tts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nazdridoy/kokoro-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 nazdridoy/kokoro-tts solve, and who is the primary audience?
    pass
    AI did not name nazdridoy/kokoro-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?

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nazdridoy/kokoro-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