RRepoGEO

REPOGEO REPORT · LITE

machinewrapped/llm-subtrans

Default branch main · commit 146a791a · scanned 6/13/2026, 10:47:04 PM

GitHub: 605 stars · 59 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 machinewrapped/llm-subtrans, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, subtitle-translator, srt, vtt, ass, ssa, machine-translation, open-source, ai-translation, language-model
  • highreadme#2
    Reposition README H1 and opening sentence for clarity

    Why:

    CURRENT
    # LLM-Subtrans
LLM-Subtrans is an open source subtitle translator that uses LLMs as a translation service.
    COPY-PASTE FIX
    # LLM-Subtrans: An Open-Source Application for AI Subtitle Translation
LLM-Subtrans is a standalone, open-source application designed to translate subtitle files (SRT, SSA/ASS, VTT) across any language pair using large language models (LLMs) as a translation service.
  • mediumreadme#3
    Add a section to the README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License
This project uses a custom license. Please refer to the [LICENSE](LICENSE) file in the repository root for full details on the applicable terms and conditions.

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 machinewrapped/llm-subtrans
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. Reduct.Video · recommended 1×
  4. Google Cloud Translation AI · recommended 1×
  5. Google Cloud Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    How can I automatically translate video subtitles across multiple languages using AI?
    you: not recommended
    AI recommended (in order):
    1. Happy Scribe
    2. Trint
    3. Reduct.Video
    4. Google Cloud Translation AI
    5. Google Cloud Speech-to-Text
    6. DeepL Pro
    7. Rev.ai
    8. AWS Transcribe
    9. Subtitle Edit (SubtitleEdit/subtitleedit)
    10. Google Translate
    11. DeepL.com

    AI recommended 11 alternatives but never named machinewrapped/llm-subtrans. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools exist for AI-powered translation of SRT and VTT subtitle files?
    you: not recommended
    AI recommended (in order):
    1. OpenNMT
    2. Marian NMT
    3. Argos Translate
    4. Helsinki-NLP/Opus-MT (Helsinki-NLP/Opus-MT)
    5. Subler

    AI recommended 5 alternatives but never named machinewrapped/llm-subtrans. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 machinewrapped/llm-subtrans?
    pass
    AI named machinewrapped/llm-subtrans explicitly

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

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

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

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machinewrapped/llm-subtrans — 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