Whisper

OpenAI

OpenAI's open-source speech recognition model: multilingual transcription, translation and timestamps that runs locally — the quiet engine inside half the transcription tools on the market.

Product preview

Overview

Whisper did for speech what Stable Diffusion did for images: OpenAI trained a robust multilingual recognizer on 680,000 hours of audio and gave it away. Accuracy on clear audio rivals paid APIs, it shrugs off accents and noise better than most, and because it runs locally, transcription of sensitive meetings, medical notes or personal journals never has to leave your machine.

Its descendants power the industry: faster-whisper reimplementation, distil-whisper variants, desktop apps like MacWhisper, and the transcription cores of many commercial notetakers. Weak points are honest ones — it hallucinates text during long silences, speaker diarization needs a companion tool, and very long files need chunking. For developers adding speech-to-text to anything, Whisper is the default first choice.

Pros / Cons

Pros

State-of-the-art accuracy, zero API cost
Fully offline — private by architecture
99 languages with translation built in
Enormous ecosystem of wrappers and variants

Cons

Hallucinated phrases during long silences
No speaker diarization out of the box
Large models need real GPU for speed

Who it's for

Private transcription of sensitive meetings

Subtitling and captioning pipelines

Adding voice input to apps

Research on speech systems

Bottom line

The open speech-to-text standard — if a tool transcribes well and cheaply, thank Whisper.

Key Features

99-language transcription

Speech translation to English

Word-level timestamps

Runs fully offline

Sizes from tiny to large-v3

Compare Whisper with alternatives

Whisper vs ElevenLabs Whisper vs Suno Whisper vs Udio 4 products · Audio Generation

Frequently asked questions

What is Whisper?

Whisper is a Audio Generation tool developed by OpenAI. The company was founded in 2022 and is headquartered in San Francisco, USA. OpenAI's open-source speech recognition model: multilingual transcription, translation and timestamps that runs locally — the quiet engine inside half the transcription tools on the market.