Transcriber is a simple Python script that converts audio files (MP3, WAV, WEBM, or MP4) to text using the OpenAI Whisper model. It supports multiple languages and output formats.
- Transcribe audio files in MP3, WAV, WEBM, or MP4 format.
- Supports multiple Whisper models: tiny, base, small, medium, large.
- Specify the language of the audio for accurate transcription.
- Output the transcription in different formats: TXT, SRT, JSON.
- Verbose mode for detailed transcription process.
- Python 3.7 or higher
- pydub
- ffmpeg
- whisper
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Clone the repository:
git clone https://github.com/erseco/transcriber.git cd transcriber -
Create and activate a virtual environment (optional but recommended):
python3 -m venv env source env/bin/activate # On Windows use `env\Scripts\activate`
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Install the required packages:
pip install -r requirements.txt
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Make sure you have
ffmpeginstalled. You can download it from here and follow the installation instructions for your operating system.
python transcriber.py <input_file> [--language <language>] [--model <model>] [--output_format <format>] [--verbose]<input_file>: Path to the MP3, WAV, WEBM, or MP4 file to transcribe.--language: Language of the audio for transcription (default:esfor Spanish).--model: Whisper model to use for transcription (default:medium). Options:tiny,base,small,medium,large.--output_format: Output format for the transcription (default:txt). Options:txt,srt,json.--verbose: Enable verbose output during transcription.
Transcribe an MP3 file to a text file:
python transcriber.py ~/Downloads/audio.mp3 --language en --model small --output_format txtTranscribe a WEBM file to a JSON file with verbose output:
python transcriber.py ~/Downloads/audio.webm --language fr --model large --output_format json --verboseContributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License.