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OpenAI Whisper

OpenAI Whisper

@steipete
developmentAudio TranscriptionSpeech-to-TextLocal Processing

Transcribe audio files locally using OpenAI's Whisper CLI tool. Supports multiple audio formats and languages with customizable model sizes for speed and accuracy trade-offs.

🚀 Whisper is a powerful speech-to-text tool that transcribes audio files locally on your computer. Simply point it to your audio file (MP3, M4A, etc.) and choose your preferred output format—whether you need plain text, subtitles, or other formats. It's fast, accurate, and works entirely offline.

💡 Perfect for converting podcasts, interviews, meetings, and lectures into text. Use it to create searchable transcripts, generate subtitles for videos, or translate spoken content into different languages. Ideal for researchers, content creators, and anyone needing quick audio-to-text conversion.

✨ Choose between multiple model sizes to balance speed and accuracy based on your needs. Models download automatically on first use, and everything processes privately on your machine—no cloud uploads required.

GitHub

Requirements

openai-whisper

OpenAI Whisper Python package for audio transcription