Audio Transcriber
Transcribes audio files and live microphone input into text using advanced AI models.
About
Audio Transcriber is a robust Python-based tool designed to convert spoken audio into written text. It supports a variety of common audio file formats, including WAV, MP4, MP3, and FLAC, and also offers the capability to record audio directly from a microphone for real-time transcription. Leveraging OpenAI's Whisper models, it provides high-quality, multilingual transcription with configurable model sizes to balance speed and accuracy. The tool integrates seamlessly with MCP Server, offering agentic AI support to enable sophisticated, automated audio processing workflows.
Key Features
- Record audio directly from microphone
- Support for OpenAI Whisper models (tiny, base, small, medium, large)
- Agentic AI support through MCP Server for integrated automation
- 2 GitHub stars
- Transcribe multiple audio file formats (.wav, .mp4, .mp3, .flac)
- Export transcriptions to TXT, SRT, and VTT formats
Use Cases
- Integrating real-time speech-to-text capabilities into AI agents or automated systems
- Generating text transcripts from recorded lectures, interviews, or meetings
- Creating captions and subtitles (SRT/VTT) for video content
Advertisement