OpenAI's most accurate speech-to-text model
Whisper Large v4 is the newest iteration of OpenAI's open-source speech recognition system. It achieves near-human accuracy in transcription across 100+ languages and handles accents, background noise, technical jargon, and overlapping speakers with remarkable precision. V4 introduces streaming real-time transcription, speaker diarization (identifying who said what), punctuation restoration, and word-level timestamps. The model runs locally on consumer hardware or through OpenAI's API. It is used in everything from meeting transcription to podcast editing, accessibility services, and voice-controlled applications. Compared to v3, it reduces word error rate by 40% and processes audio 3x faster.
Model weights are free to download. OpenAI API charges $0.006/minute for transcription. Self-hosted is free.
Whisper Large v4
Install via pip: pip install openai-whisper
Or use OpenAI API: POST to api.openai.com/v1/audio/transcriptions
Pass audio file in common formats (MP3, WAV, M4A, etc.)
Specify language or let auto-detection choose
Receive transcription with timestamps and speaker labels
Use word-level timestamps for subtitle generation
Best For
Developers and businesses needing accurate, multi-language speech transcription
Last Updated
2026-02-15
Whisper Large v4 was released to the public, marking its official debut in the AI landscape.
Whisper Large v4
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