GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
53views this month
Decision brief
stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats.
Good fit when
- Use stt if you require an offline, locally-run solution where internet dependence is not acceptable.
- Ideal for users who prefer open-source tools for speech recognition with a GPL-3.0 license preference.
Avoid when
- Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services.
- Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (240d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 1 critical, 2 high, 3 medium, 21 low (1 critical, 2 high, 3 medium, 21 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install sttSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Converts human spoken audio from video/audio files into text output formats including json, srt subtitles, and plain text using the fast-whipser open-source model.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
0. 要求 python 3.9->3.11Source link
Tags
README
<div align="center" 中文简体 English </div <div align="center" 👑 捐助本项目 </div 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。 fast whisper 开源模型有 tiny/base/small/medium/large v...
For agents
This page has a .md twin and JSON over the API.