RRepoGEO

REPOGEO REPORT · LITE

tmoroney/auto-subs

Default branch main · commit 0e1ce5ce · scanned 5/13/2026, 2:46:59 PM

GitHub: 3,379 stars · 211 forks

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 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
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify project type and license

    Why:

    CURRENT
    # AutoSubs
    
    AutoSubs generates accurate, timestamped subtitles from any audio or video file. AI transcription runs locally — no cloud, no subscription.
    COPY-PASTE FIX
    # AutoSubs: Free, Local AI Subtitle Generator for Desktop
    
    AutoSubs is a **free, open-source desktop application** that generates accurate, timestamped subtitles from any audio or video file. AI transcription runs **entirely locally on your device** — no cloud, no subscription, ensuring privacy and speed. It is licensed under MIT.
  • highabout#2
    Update GitHub Description to emphasize desktop application and local processing

    Why:

    CURRENT
    Instantly generate AI-powered subtitles on your device. Works standalone or connects to DaVinci Resolve.
    COPY-PASTE FIX
    AutoSubs is a free, open-source desktop application for instantly generating AI-powered subtitles entirely on your device. It works standalone or connects directly to DaVinci Resolve, with all transcription happening locally.
  • mediumcomparison#3
    Add a 'Why AutoSubs?' comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why AutoSubs? (Compared to Alternatives)
    
    Many subtitle tools are either cloud-based (requiring subscriptions and uploading your data) or developer libraries (requiring coding knowledge). AutoSubs stands out as a **free, open-source desktop application** that runs **entirely locally** on Windows, macOS, and Linux. This means:
    - **Privacy:** Your audio/video never leaves your device.
    - **Speed:** No internet latency for transcription.
    - **Cost-Free:** No subscriptions or API credits needed.
    - **User-Friendly:** A graphical interface for everyone, not just developers.
    - **DaVinci Resolve Integration:** Seamlessly export or use as a plugin.

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
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. pyannote/pyannote-audio · recommended 1×
  3. linto-ai/whisper-diarization · recommended 1×
  4. Vaibhavs10/insanely-fast-whisper · recommended 1×
  5. alphacep/vosk-api · recommended 1×
  • CATEGORY QUERY
    How to generate accurate, timestamped subtitles locally with speaker labeling from audio files?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. pyannote-audio (pyannote/pyannote-audio)
    3. whisper-diarization (linto-ai/whisper-diarization)
    4. insanely-fast-whisper (Vaibhavs10/insanely-fast-whisper)
    5. Vosk (alphacep/vosk-api)
    6. Kaldi (kaldi-asr/kaldi)
    7. Mozilla DeepSpeech (mozilla/DeepSpeech)
    8. Picovoice Rhino Speech-to-Text

    AI recommended 8 alternatives but never named tmoroney/auto-subs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to automatically create subtitles for DaVinci Resolve on Mac or Linux.
    you: not recommended
    AI recommended (in order):
    1. DaVinci Resolve's built-in Speech to Text
    2. Happy Scribe
    3. Trint
    4. Descript
    5. Otter.ai

    AI recommended 5 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 named tmoroney/auto-subs explicitly

    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