OpenAI Whisper
Open-source speech-to-text
0 case studies
Audio Foundation Model Open-source speech-to-text
Transcribing audio and video files to text with high accuracy across 100+ languages, including automatic language detection and translation to English. Widely used for meeting transcription, podcast indexing, subtitle generation, and building voice-enabled applications.
Use the hosted version via the OpenAI API (requires an OpenAI API key) for the simplest setup, or self-host the open-source model with `pip install openai-whisper`. Self-hosting requires a CUDA-capable GPU for reasonable speed. Faster alternatives like whisper.cpp and faster-whisper are available for optimized local inference.
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