RRepoGEO

REPOGEO REPORT · LITE

jianchang512/stt

Default branch main · commit 0df3151d · scanned 6/26/2026, 2:12:21 AM

GitHub: 4,634 stars · 491 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
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 jianchang512/stt, 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 the README's opening to highlight offline, local, and subtitle generation capabilities

    Why:

    CURRENT
    # 语音识别转文字工具

这是一个离线运行的本地语音识别转文字工具，基于 fast-whipser 开源模型，可将视频/音频中的人类声音识别并转为文字，可输出json格式、srt字幕带时间戳格式、纯文字格式。可用于自行部署后替代 openai 的语音识别接口或百度语音识别等，准确率基本等同openai官方api接口。
    COPY-PASTE FIX
    # STT: 离线本地音视频转字幕工具 (Offline Local Audio/Video to Subtitle Tool)

STT 是一个基于 fast-whisper 开源模型的**离线、本地运行**的语音识别转文字工具。它能将**音视频文件**中的语音识别并**生成字幕**，支持输出 JSON、SRT (带时间戳) 和纯文本格式。作为**自部署替代 OpenAI 或百度语音识别接口**的理想选择，STT 提供接近官方 API 的准确率。
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    speech, speech-recognition, speech-to-text, stt
    COPY-PASTE FIX
    speech-to-text, stt, offline, local, self-hosted, subtitles, srt-generator, audio-to-text, video-to-text, whisper-model
  • lowreadme#3
    Clarify the relationship with pyvideotrans.com in the README

    Why:

    COPY-PASTE FIX
    在README的介绍部分或单独的'关于'/'项目背景'部分添加一句：

本工具由 [pyvideotrans.com](https://pyvideotrans.com) 团队开发和维护，是其核心语音识别组件之一。

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 jianchang512/stt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 3×
  2. alphacep/vosk-api · recommended 2×
  3. mozilla/DeepSpeech · recommended 2×
  4. kaldi-asr/kaldi · recommended 2×
  5. ggerganov/whisper.cpp · recommended 1×
  • CATEGORY QUERY
    How can I convert audio and video files to text transcripts locally without internet access?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. whisper.cpp (ggerganov/whisper.cpp)
    3. Python whisper library (openai/whisper)
    4. Whisper Desktop (sandro-k/whisper-desktop)
    5. MacWhisper (jordibruin/macwhisper)
    6. Vosk (alphacep/vosk-api)
    7. Mozilla DeepSpeech (mozilla/DeepSpeech)
    8. Kaldi (kaldi-asr/kaldi)

    AI recommended 8 alternatives but never named jianchang512/stt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good self-hosted speech-to-text tools for generating SRT subtitles from video?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. Vosk (Alpha Cephei) (alphacep/vosk-api)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Picovoice Rhino Speech-to-Text (Picovoice/rhino)
    5. Kaldi (kaldi-asr/kaldi)

    AI recommended 5 alternatives but never named jianchang512/stt. 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 jianchang512/stt?
    pass
    AI named jianchang512/stt explicitly

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

  • If a team adopts jianchang512/stt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jianchang512/stt 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 jianchang512/stt solve, and who is the primary audience?
    pass
    AI named jianchang512/stt explicitly

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

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jianchang512/stt — 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