jianchang512/stt
An offline local tool that transcribes audio and video files to text using the fast-whisper open-source model.
Not currently ranked — collecting fresh signals.
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This tool leverages the Whisper model family (tiny to large-v3) to perform offline speech recognition on audio and video files. Users upload files through a web interface, select the language and desired output format, and receive transcribed text as JSON, SRT subtitles with timestamps, or plain text. It automatically uses CUDA acceleration when an NVIDIA GPU is available. The tool serves as a local alternative to cloud APIs like OpenAI’s Whisper API or Baidu Speech Recognition.
Frequently asked
- What is jianchang512/stt?
- An offline local tool that transcribes audio and video files to text using the fast-whisper open-source model.
- Is stt open source?
- Yes — jianchang512/stt is open source, released under the GPL-3.0 license.
- What language is stt written in?
- jianchang512/stt is primarily written in Python.
- How popular is stt?
- jianchang512/stt has 4.7k stars on GitHub.
- Where can I find stt?
- jianchang512/stt is on GitHub at https://github.com/jianchang512/stt.