Mcp
0
Converts audio to text using various recognition engines and supports multiple formats and languages.
About
This powerful audio transcription server offers robust speech-to-text capabilities by leveraging a variety of recognition engines, including popular remote APIs like Alibaba Cloud, OpenAI Whisper, and iFlytek, as well as Google Speech Recognition and the offline CMU Sphinx. It handles a wide array of audio formats such as WAV, MP3, M4A, FLAC, OGG, and AAC, and supports numerous languages, including Chinese, English, and Japanese. Designed for efficiency, it facilitates batch processing of audio files and provides real-time progress updates, all without requiring any local large language models.
Key Features
- Transcribes audio in various formats (WAV, MP3, M4A, FLAC, OGG, AAC) and multiple languages
- Enables batch processing for multiple audio files
- 0 GitHub stars
- Provides audio file analysis and format conversion utilities
- Operates without requiring local AI models, relying on remote API calls
- Supports multiple speech recognition engines (Remote APIs, Google, CMU Sphinx)
Use Cases
- Converting individual audio files to text using various speech recognition engines
- Transcribing multiple audio files in a single batch operation for efficiency
- Analyzing audio metadata (format, duration, sample rate) and converting audio file formats
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