RRepoGEO

REPOGEO REPORT · LITE

p0n1/epub_to_audiobook

Default branch main · commit b23f9658 · scanned 5/18/2026, 7:02:33 AM

GitHub: 1,978 stars · 216 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
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 p0n1/epub_to_audiobook, 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 README's opening to highlight Audiobookshelf optimization and WebUI

    Why:

    CURRENT
    This project provides a command-line tool to convert EPUB ebooks into audiobooks. It now supports both the Microsoft Azure Text-to-Speech API (alternativly EdgeTTS) and the OpenAI Text-to-Speech API to generate the audio for each chapter in the ebook. The output audio files are optimized for use with Audiobookshelf.
    COPY-PASTE FIX
    This project is a powerful EPUB to audiobook converter, specifically designed for seamless integration with Audiobookshelf. It leverages advanced Text-to-Speech (TTS) APIs like Microsoft Azure, OpenAI, EdgeTTS, Piper, and Kokoro to generate high-quality audiobooks, complete with a user-friendly WebUI for easy management.
  • hightopics#2
    Expand repository topics for better categorization

    Why:

    CURRENT
    audiobooks, audiobookshelf, chatgpt, epub, openai, tts, webui
    COPY-PASTE FIX
    audiobooks, audiobookshelf, chatgpt, epub, openai, tts, webui, epub-converter, text-to-speech, self-hosted, m4b, python
  • mediumreadme#3
    Add a dedicated "Key Features & Differentiators" section

    Why:

    COPY-PASTE FIX
    ## Key Features & Differentiators
*   **Optimized for Audiobookshelf:** Seamlessly converts EPUBs into audiobooks ready for your self-hosted Audiobookshelf library.
*   **Modern Text-to-Speech Engines:** Utilizes high-quality APIs including Microsoft Azure, OpenAI, EdgeTTS, Piper, and Kokoro for natural-sounding audio.
*   **User-Friendly Web Interface (WebUI):** Manage conversions and settings easily through a dedicated web application.
*   **Flexible Deployment:** Run as a command-line tool or via Docker.
*   **Chapter-based Conversion:** Preserves EPUB chapter structure for organized audiobooks.

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 p0n1/epub_to_audiobook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Balabolka
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Balabolka · recommended 1×
  2. Calibre · recommended 1×
  3. pndurette/gTTS · recommended 1×
  4. nateshmbhat/pyttsx3 · recommended 1×
  5. NaturalReader · recommended 1×
  • CATEGORY QUERY
    How can I convert my ebook collection into audio files for a self-hosted server?
    you: not recommended
    AI recommended (in order):
    1. Balabolka
    2. Calibre
    3. gTTS (pndurette/gTTS)
    4. pyttsx3 (nateshmbhat/pyttsx3)
    5. NaturalReader
    6. Voice Dream Reader
    7. Audiobookshelf (advplyr/audiobookshelf)
    8. Plex
    9. Navidrome (navidrome/navidrome)
    10. Jellyfin (jellyfin/jellyfin)

    AI recommended 10 alternatives but never named p0n1/epub_to_audiobook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can generate audiobooks from ebooks using modern text-to-speech with a web interface?
    you: not recommended
    AI recommended (in order):
    1. Speechify
    2. Murf.ai
    3. WellSaid Labs
    4. Play.ht
    5. Amazon Polly
    6. Google Cloud Text-to-Speech

    AI recommended 6 alternatives but never named p0n1/epub_to_audiobook. 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 p0n1/epub_to_audiobook?
    pass
    AI did not name p0n1/epub_to_audiobook — 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 p0n1/epub_to_audiobook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named p0n1/epub_to_audiobook 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 p0n1/epub_to_audiobook solve, and who is the primary audience?
    pass
    AI did not name p0n1/epub_to_audiobook — 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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p0n1/epub_to_audiobook — 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