RRepoGEO

REPOGEO REPORT · LITE

TransWithAI/Faster-Whisper-TransWithAI-ChickenRice

Default branch main · commit 77e7c9d0 · scanned 5/21/2026, 7:57:55 AM

GitHub: 1,590 stars · 79 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 TransWithAI/Faster-Whisper-TransWithAI-ChickenRice, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    High-performance, GPU-accelerated audio/video transcription and translation tool, specifically optimized for Japanese-to-Chinese using Faster Whisper and a voice-optimized VAD model. Supports local and Modal cloud inference.
  • mediumreadme#2
    Clarify the tool's nature in the README's opening

    Why:

    CURRENT
    High-performance audio/video transcription and translation tool - Japanese-to-Chinese optimized version based on Faster Whisper and voice-optimized VAD
    COPY-PASTE FIX
    High-performance audio/video transcription and translation tool - Japanese-to-Chinese optimized version based on Faster Whisper and voice-optimized VAD. This software is designed for local execution with optional cloud inference via Modal, providing a robust solution for high-accuracy Japanese-to-Chinese translation.

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 TransWithAI/Faster-Whisper-TransWithAI-ChickenRice
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepL Pro
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepL Pro · recommended 2×
  2. Google Cloud Speech-to-Text API · recommended 1×
  3. Google Cloud Translation API · recommended 1×
  4. Microsoft Azure Cognitive Services · recommended 1×
  5. Amazon Transcribe · recommended 1×
  • CATEGORY QUERY
    What's a fast and accurate tool for translating Japanese audio to Chinese text?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Google Cloud Translation API
    3. DeepL Pro
    4. Microsoft Azure Cognitive Services
    5. Amazon Transcribe
    6. Amazon Translate
    7. Baidu AI Cloud
    8. Tencent Cloud AI

    AI recommended 8 alternatives but never named TransWithAI/Faster-Whisper-TransWithAI-ChickenRice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best GPU-accelerated tools for accurate Japanese audio to Chinese video translation?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. Argos Translate (argosopentech/argos-translate)
    3. FFmpeg
    4. DaVinci Resolve
    5. Google Cloud Speech-to-Text
    6. Google Cloud Translation
    7. Azure AI Speech
    8. Azure AI Translator
    9. DeepL Pro
    10. Vosk (alphacep/vosk-api)
    11. MarianMT (Hugging Face Transformers) (huggingface/transformers)

    AI recommended 11 alternatives but never named TransWithAI/Faster-Whisper-TransWithAI-ChickenRice. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 TransWithAI/Faster-Whisper-TransWithAI-ChickenRice?
    pass
    AI named TransWithAI/Faster-Whisper-TransWithAI-ChickenRice explicitly

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

  • If a team adopts TransWithAI/Faster-Whisper-TransWithAI-ChickenRice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TransWithAI/Faster-Whisper-TransWithAI-ChickenRice 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 TransWithAI/Faster-Whisper-TransWithAI-ChickenRice solve, and who is the primary audience?
    pass
    AI did not name TransWithAI/Faster-Whisper-TransWithAI-ChickenRice — 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?

Embed your GEO score

Drop this badge into the README of TransWithAI/Faster-Whisper-TransWithAI-ChickenRice. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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TransWithAI/Faster-Whisper-TransWithAI-ChickenRice — 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