RRepoGEO

REPOGEO REPORT · LITE

absadiki/subsai

Default branch main · commit 5ed78a85 · scanned 5/20/2026, 11:07:27 PM

GitHub: 1,658 stars · 140 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
40 /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
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 absadiki/subsai, 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 clarify its category

    Why:

    CURRENT
    ️🎞️ Subs AI 🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants
    COPY-PASTE FIX
    ️🎞️ Subs AI 🎞️ An open-source, self-hosted tool for generating synchronized subtitles from audio/video. It provides a Web-UI, CLI, and Python package, integrating multiple high-performance Whisper variants for robust speech-to-text transcription and translation.
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    cli, subtitles, subtitles-generator, webui, whisper, whisper-ai
    COPY-PASTE FIX
    cli, subtitles, subtitles-generator, webui, whisper, whisper-ai, speech-to-text, asr, transcription, audio-transcription, self-hosted, python-package
  • lowreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Key Differentiators', with content like: 'Subs AI stands out by providing a unified, easy-to-use interface (Web-UI, CLI, Python package) to orchestrate multiple high-performance Whisper models and their variants (OpenAI, whisper.cpp, faster-whisper, whisper-timestamped). This allows users to leverage the best of each model for speech-to-text transcription, translation, and word-level timestamping, all within a single, self-hosted solution.'

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 absadiki/subsai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Happy Scribe
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Happy Scribe · recommended 1×
  2. Trint · recommended 1×
  3. Descript · recommended 1×
  4. Rev · recommended 1×
  5. Otter.ai · recommended 1×
  • CATEGORY QUERY
    I need a tool to generate synchronized text captions and subtitles from audio files.
    you: not recommended
    AI recommended (in order):
    1. Happy Scribe
    2. Trint
    3. Descript
    4. Rev
    5. Otter.ai
    6. VEED.IO
    7. Kapwing

    AI recommended 7 alternatives but never named absadiki/subsai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient self-hosted solutions for transcribing audio to text, available as CLI or Python library?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. Vosk (Alpha Cephei) (alphacep/vosk-api)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Kaldi (kaldi-asr/kaldi)
    5. Picovoice Rhino/Cheetah (Picovoice/cheetah)

    AI recommended 5 alternatives but never named absadiki/subsai. 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 absadiki/subsai?
    pass
    AI named absadiki/subsai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts absadiki/subsai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named absadiki/subsai 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 absadiki/subsai solve, and who is the primary audience?
    pass
    AI named absadiki/subsai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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absadiki/subsai — 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