REPOGEO REPORT · LITE

meizhong986/WhisperJAV

Default branch main · commit f7862f70 · scanned 6/30/2026, 2:26:56 AM

GitHub: 1,751 stars · 147 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 meizhong986/WhisperJAV, 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 'JAV' in repository description to prevent misinterpretation

Why:

CURRENT

ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV

COPY-PASTE FIX

ASR/STT subtitle generator for Japanese Adult Videos (JAV). *Not a Java project.* Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for this specific domain.

mediumtopics#2

Add specific domain-related topics

Why:

CURRENT

aitranslate, hallucination, japanese, llm, modelscope, qwen3, qwen3-asr, speech-to-text, speechenhancement, subtitling, ten-vad, whisper, zipformer

COPY-PASTE FIX

aitranslate, hallucination, japanese, llm, modelscope, qwen3, qwen3-asr, speech-to-text, speechenhancement, subtitling, ten-vad, whisper, zipformer, noisy-audio, spontaneous-speech, asr-robustness, japanese-adult-video, subtitle-generation-japanese

lowreadme#3

Strengthen unique value proposition in README introduction

Why:

COPY-PASTE FIX

Add a new section or integrate into the introduction: "**Why WhisperJAV?** Unlike general-purpose ASR solutions, WhisperJAV is specifically engineered to overcome the unique challenges of noisy, spontaneous Japanese audio found in JAV, minimizing hallucinations and improving accuracy where other models fail."

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 meizhong986/WhisperJAV

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

AWS Transcribe

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

AWS Transcribe · recommended 2×
DeepL Speech-to-Text · recommended 2×
Vosk · recommended 2×
Google Cloud Speech-to-Text · recommended 1×
Azure Cognitive Services Speech · recommended 1×

CATEGORY QUERY
Tools for generating accurate Japanese speech-to-text from very noisy and spontaneous recordings?
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text
2. AWS Transcribe
3. Azure Cognitive Services Speech
4. DeepL Speech-to-Text
5. AmiVoice Cloud Platform
6. Vosk
AI recommended 6 alternatives but never named meizhong986/WhisperJAV. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a robust subtitle generator for Japanese audio, minimizing ASR hallucinations and errors.
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text API
2. AWS Transcribe
3. Azure Cognitive Services Speech-to-Text
4. DeepL Speech-to-Text
5. Whisper (OpenAI)
6. Vosk
AI recommended 6 alternatives but never named meizhong986/WhisperJAV. 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 meizhong986/WhisperJAV?
pass
AI named meizhong986/WhisperJAV explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts meizhong986/WhisperJAV in production, what risks or prerequisites should they evaluate first?
pass
AI named meizhong986/WhisperJAV 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 meizhong986/WhisperJAV solve, and who is the primary audience?
pass
AI did not name meizhong986/WhisperJAV — 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 meizhong986/WhisperJAV. 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)

[![RepoGEO](https://repogeo.com/badge/meizhong986/WhisperJAV.svg)](https://repogeo.com/en/r/meizhong986/WhisperJAV)

HTML

<a href="https://repogeo.com/en/r/meizhong986/WhisperJAV"><img src="https://repogeo.com/badge/meizhong986/WhisperJAV.svg" alt="RepoGEO" /></a>

Pro

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meizhong986/WhisperJAV — 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