REPOGEO REPORT · LITE

meizhong986/WhisperJAV

Default branch main · commit f7862f70 · scanned 5/18/2026, 7:57:16 PM

GitHub: 1,601 stars · 139 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

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 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

highreadme#1

Clarify "JAV" acronym in README to prevent misinterpretation as "Java"

Why:

CURRENT

A subtitle generator for Japanese Adult Videos.

COPY-PASTE FIX

WhisperJAV is a subtitle generator specifically designed for Japanese Adult Videos (JAV), not related to Java programming.

hightopics#2

Add more specific topics to improve category visibility

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-speech-transcription, spontaneous-speech, non-verbal-vocalizations, adult-content-transcription, jav-transcription

mediumhomepage#3
Update homepage URL to main repository or dedicated project page
Why:
CURRENT
```
https://github.com/meizhong986/WhisperJAV/releases/latest
```
COPY-PASTE FIX
```
https://github.com/meizhong986/WhisperJAV
```

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

Google Cloud Speech-to-Text

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

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

CATEGORY QUERY
How to accurately transcribe spontaneous Japanese speech with significant background noise and non-verbal sounds?
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text
2. AWS Transcribe
3. Azure Cognitive Services Speech
4. Whisper
5. Vosk
6. Julius
AI recommended 6 alternatives but never named meizhong986/WhisperJAV. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a robust speech-to-text solution for Japanese audio, minimizing hallucinations from challenging noisy environments.
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text
2. AWS Transcribe
3. Azure Cognitive Services Speech
4. OpenAI Whisper (openai/whisper)
5. AssemblyAI
6. DeepL Speech
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 named meizhong986/WhisperJAV explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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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