description Whisper API (OpenAI) Overview
OpenAI's Whisper API gives developers hosted access to a speech recognition model for converting recorded audio into text. It supports multilingual transcription and can translate supported spoken languages into English. Applications can submit audio through an API rather than running the model locally, making it useful when transcription needs to be incorporated into a larger software workflow. Whisper's training includes varied speech, which supports its use with different accents and recording conditions.
Accuracy still depends on the language and the quality of the audio, and important transcripts benefit from review. Researchers and developers can use it as a general-purpose transcription component rather than a complete editing or meeting-management application. Local Whisper deployments are separate from the hosted service, and neither should be described as an official desktop edition of the other.
help Whisper API (OpenAI) FAQ
What is the maximum file size for whisper-1 transcription?
The legacy whisper-1 Audio API accepts uploads up to 25 MiB per request. Longer recordings must be compressed or divided into smaller files before upload.
Can whisper-1 transcribe audio as it is being recorded?
No, OpenAI states that streaming is not supported by whisper-1. Newer models such as gpt-4o-transcribe provide different streaming options for ongoing audio.
Can the Whisper API translate speech into English?
Yes, the audio translations endpoint can use whisper-1 to translate supported spoken languages into English. The same model can also perform ordinary multilingual transcription and language identification.
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