RRepoGEO

REPOGEO REPORT · LITE

tmoroney/auto-subs

Default branch main · commit d3361f17 · scanned 6/24/2026, 1:48:57 AM

GitHub: 3,671 stars · 235 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
33 /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
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 tmoroney/auto-subs, 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
  • highabout#1
    Clarify 'About' description as a desktop application

    Why:

    CURRENT
    On-device subtitle generation that connects directly to DaVinci Resolve, Premiere, and After Effects.
    COPY-PASTE FIX
    AutoSubs is a desktop application for on-device AI subtitle generation, offering direct integration with DaVinci Resolve, Premiere, and After Effects.
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, such as '## AutoSubs vs. Other Tools' or '## Why AutoSubs?', that highlights its unique value proposition (desktop app, direct NLE integration, local-first, speaker diarization) against common alternatives like generic Whisper CLIs, cloud services, or other subtitle editors.
  • lowreadme#3
    Reinforce 'desktop application' in README's opening

    Why:

    CURRENT
    # AutoSubs

Local-first AI subtitles. No cloud, no subscription, no data leaving your machine.
    COPY-PASTE FIX
    # AutoSubs: Desktop Application for Local-First AI Subtitles

AutoSubs is a powerful desktop application for local-first AI subtitles. No cloud, no subscription, no data leaving your machine.

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 tmoroney/auto-subs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. whisper-ctranslate2 · recommended 1×
  3. whisper.cpp · recommended 1×
  4. Vosk · recommended 1×
  5. Subtitles Edit · recommended 1×
  • CATEGORY QUERY
    How to generate AI-powered subtitles directly on my machine for video projects?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. whisper-ctranslate2
    3. whisper.cpp
    4. Vosk
    5. Subtitles Edit
    6. MacWhisper
    7. pyTranscriber

    AI recommended 7 alternatives but never named tmoroney/auto-subs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an offline speech-to-text tool for video editing software with speaker identification.
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Pyannote.audio (pyannote/pyannote-audio)
    3. Trint
    4. Happy Scribe
    5. Descript
    6. Simon Says
    7. Veed.io

    AI recommended 7 alternatives but never named tmoroney/auto-subs. 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 tmoroney/auto-subs?
    pass
    AI did not name tmoroney/auto-subs — 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 tmoroney/auto-subs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tmoroney/auto-subs 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 tmoroney/auto-subs solve, and who is the primary audience?
    pass
    AI named tmoroney/auto-subs explicitly

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

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tmoroney/auto-subs — 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