audio-transcribe 0.1.0

A command-line tool for transcribing audio files using OpenAI's Whisper model

Audio Transcribe

A command-line tool for transcribing audio files using OpenAI's Whisper model.

Features

• Transcribe individual audio files with customizable options
• Batch process multiple audio files in a directory
• Support for various audio formats (MP3, WAV, M4A, OGG, FLAC)
• Multiple Whisper model sizes (tiny, base, small, medium, large)
• Progress indicators with rich terminal output
• Optional JSON output with detailed transcription results

Installation

# Clone the repository
git clone https://github.com/samurmaykrr/audio_transcribe.git
cd audio_transcribe

# Install the package
pip install -e .

Usage

Single File Transcription

# Basic usage
audio-transcribe transcribe path/to/audio.mp3

# Specify output directory
audio-transcribe transcribe path/to/audio.mp3 -o output/directory

# Use a different model size
audio-transcribe transcribe path/to/audio.mp3 -m large

# Specify language (auto-detects if not specified)
audio-transcribe transcribe path/to/audio.mp3 -l en

# Save detailed results in JSON format
audio-transcribe transcribe path/to/audio.mp3 -j

# Translate to English
audio-transcribe transcribe path/to/audio.mp3 -t translate

Batch Processing

# Process all audio files in a directory
audio-transcribe batch path/to/audio/directory

# Specify output directory
audio-transcribe batch path/to/audio/directory -o output/directory

# Use a different model size
audio-transcribe batch path/to/audio/directory -m large

# Process specific file extensions
audio-transcribe batch path/to/audio/directory -e mp3 wav

Configuration Options

Model Sizes

• tiny: Fastest, lowest accuracy
• base: Good balance of speed and accuracy
• small: Better accuracy, slower than base
• medium: High accuracy, slower processing
• large: Best accuracy, slowest processing

Supported Audio Formats

• MP3
• WAV
• M4A
• OGG
• FLAC

Output Options

• Text file output (default)
• Optional JSON output with timestamps and confidence scores
• Custom output directory specification

Requirements

• Python 3.7 or higher
• Dependencies:
  • openai-whisper
  • typer
  • rich

License

This project is licensed under the MIT License - see the LICENSE.md file for details.