RRepoGEO

REPOGEO REPORT · LITE

nazdridoy/kokoro-tts

Default branch main · commit 3f8f8464 · scanned 6/27/2026, 2:57:01 AM

GitHub: 1,629 stars · 160 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
    Clarify the project's independence from Google Cloud in the README's opening

    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 an independent, open-source CLI text-to-speech tool that utilizes the Kokoro model to convert text into natural-sounding audio. It supports multiple languages, voice blending, and various input formats including EPUB books and PDF documents, without relying on external cloud TTS APIs.
  • mediumtopics#2
    Add more specific open-source TTS and CLI-related topics

    Why:

    CURRENT
    audiobook, epub, kokoro, kokoro-tts, pdf, podcast, python, tts
    COPY-PASTE FIX
    audiobook, epub, kokoro, kokoro-tts, pdf, podcast, python, tts, cli-tool, text-to-speech, voice-synthesis, open-source, speech-synthesis, voice-blending
  • mediumhomepage#3
    Update the homepage URL to point to the project's primary landing page or the GitHub repo

    Why:

    CURRENT
    https://huggingface.co/hexgrad/Kokoro-82M
    COPY-PASTE FIX
    https://github.com/nazdridoy/kokoro-tts

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
Calibre
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Calibre · recommended 1×
  2. Google Cloud Text-to-Speech · recommended 1×
  3. gcloud CLI tool · recommended 1×
  4. jgm/pandoc · recommended 1×
  5. Amazon Polly · recommended 1×
  • CATEGORY QUERY
    How can I convert PDF and EPUB documents into natural-sounding audiobooks via a command line?
    you: not recommended
    AI recommended (in order):
    1. Calibre
    2. Google Cloud Text-to-Speech
    3. gcloud CLI tool
    4. pandoc (jgm/pandoc)
    5. Amazon Polly
    6. AWS CLI
    7. Boto3 (boto/boto3)
    8. pdfminer.six (pdfminer/pdfminer.six)
    9. epub_to_text
    10. EbookLib (aerkalov/ebooklib)
    11. Microsoft Azure Text to Speech
    12. Azure CLI
    13. poppler-utils
    14. pdftotext
    15. espeak-ng (espeak-ng/espeak-ng)
    16. textract (deanmalmgren/textract)
    17. gTTS (pndurette/gTTS)
    18. ffmpeg

    AI recommended 18 alternatives but never named nazdridoy/kokoro-tts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source CLI tools for text-to-speech with voice blending capabilities?
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. ESPnet (espnet/espnet)
    3. Mycroft Mimic 3 (MycroftAI/mimic3)
    4. OpenVocalizer (myshell-ai/OpenVoice)
    5. Piper (rhasspy/piper)

    AI recommended 5 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