AIWhisper
Whisper-1: OpenAI's Speech Recognition API Model
Model Overview
whisper-1 is the version of OpenAI's Whisper model available via the OpenAI API for transcription and translation tasks. Released as an API endpoint in March 2023, it provides access to a highly capable multilingual speech recognition system for automatic transcription, speech-to-text, and audio translation (to English). The API wraps Whisper's large model for easy integration without the need to self-host. It accepts audio files up to 25MB in formats including MP3, MP4, MPEG, MPGA, M4A, WAV, and WEBM.
✨ Key Features
| Feature | Description |
|---|---|
| Multilingual Transcription | Transcribes audio in 100+ languages automatically |
| Speech Translation | Translates speech from any supported language directly to English |
| Multiple Audio Formats | Accepts MP3, MP4, MPEG, MPGA, M4A, WAV, WEBM |
| Timestamps | Returns word-level and segment-level timestamps |
| Prompt-Guided | Accepts optional prompt text to improve accuracy for domain-specific terms |
🔗 Resources
| Resource | Link |
|---|---|
| API Docs | platform.openai.com/docs/guides/speech-to-text |
| Open Source | openai/whisper |
📜 License & Access
Proprietary API — Available via OpenAI API. The underlying Whisper model weights are open-source (MIT).
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Model Specs
Parameters
Unknown
Context Window
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License
Proprietary
Deployment
Resources & Links
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Curator Notes
Bulk imported from OpenAI developer docs.
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