RRepoGEO

REPOGEO REPORT · LITE

lingarr-translate/lingarr

Default branch main · commit 4f6033c2 · scanned 6/9/2026, 1:47:10 AM

GitHub: 784 stars · 62 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 lingarr-translate/lingarr, 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 emphasize "subtitle translation application"

    Why:

    CURRENT
    Lingarr is an application that leverages translation technologies to automatically translate subtitle files to your desired target language.
    COPY-PASTE FIX
    Lingarr is a self-hostable application for automated subtitle translation, supporting various AI and local translation services.
  • hightopics#2
    Add relevant topics to improve categorization and recall

    Why:

    COPY-PASTE FIX
    subtitle-translation, ai-translation, self-hosted, docker, translation-services, libretranslate, deepl, ollama, openai
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Add the official project website or a relevant demo/documentation URL here]

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 lingarr-translate/lingarr
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Translation API
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Translation API · recommended 3×
  2. SubtitleEdit/subtitleedit · recommended 2×
  3. DeepL API · recommended 2×
  4. openai/whisper · recommended 2×
  5. AWS Transcribe · recommended 2×
  • CATEGORY QUERY
    How can I automatically translate subtitle files using various AI translation services?
    you: not recommended
    AI recommended (in order):
    1. Happy Scribe
    2. Trint
    3. Reduct.Video
    4. Google Cloud Translation API
    5. Subtitle Edit (SubtitleEdit/subtitleedit)
    6. Aegisub (Aegisub/Aegisub)
    7. DeepL API
    8. Microsoft Azure Translator Text API
    9. Subtitle Edit (SubtitleEdit/subtitleedit)

    AI recommended 9 alternatives but never named lingarr-translate/lingarr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can I use to automate subtitle translation with self-hosted or cloud AI models?
    you: not recommended
    AI recommended (in order):
    1. WhisperX (m-bain/whisperX)
    2. LibreTranslate (LibreTranslate/LibreTranslate)
    3. Argos Translate (argosopentech/argos-translate)
    4. OpenAI Whisper (openai/whisper)
    5. Google Cloud Translation API
    6. Azure Translator Text API
    7. DeepL API
    8. OpenAI Whisper (openai/whisper)
    9. Google Cloud Speech-to-Text
    10. AWS Transcribe
    11. AWS MediaConvert
    12. AWS Transcribe
    13. AWS Translate
    14. Google Cloud Video Intelligence API
    15. Google Cloud Translation API
    16. Hugging Face Transformers library (huggingface/transformers)

    AI recommended 16 alternatives but never named lingarr-translate/lingarr. 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 lingarr-translate/lingarr?
    pass
    AI named lingarr-translate/lingarr explicitly

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

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

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

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lingarr-translate/lingarr — 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