OpenAI Whisper
Free🎵 Audio & Music
Open-source automatic speech recognition system from OpenAI that delivers high-accuracy transcription across dozens of languages, including support for translation to English. Its local-first architecture means it can run entirely offline on consumer hardware, making it the go-to choice for privacy-sensitive transcription applications and developers building speech-enabled products.
Getting Started with OpenAI Whisper
Step-by-step setup guide
- 1Ensure Python 3.8+ is installed, then install: pip install openai-whisper
- 2Install ffmpeg: Windows users download from ffmpeg.org; Mac users run: brew install ffmpeg
- 3Transcribe with: whisper audio.mp3 in the terminal.
- 4Supports output formats: whisper audio.mp3 --output_format txt --language en
- 5Optional: whisper --model large uses a larger model for higher accuracy at the cost of more resources.
Key Features
What OpenAI Whisper offers
High-Accuracy Speech Recognition
OpenAI's open-source multilingual speech recognition system with leading accuracy across 90+ languages.
Local Execution
Runs completely offline with no internet connection — audio data never leaves your device for privacy.
Multi-Model Selection
Choose from tiny/base/small/medium/large models balancing speed and accuracy. Tiny is fast but less accurate; large is most accurate.
Multiple Output Formats
Supports plain text (txt), timestamped SRT/VTT subtitles, JSON, and more for different workflows.