openai/gpt-4o-mini-transcribe 📝🖼️🔢 → 📝
About
A speech-to-text model that uses GPT-4o mini to transcribe audio

Example Output
Output
So we just added GPT-4o Mini Transcribe to Replicate, and thought you'd want to know. It's basically a speech-to-text model that uses GPT-4o Mini to turn your audio into text. The cool thing is that it's noticeably better than the Whisper models we've been using. Fewer errors, better at recognizing different languages, and just more accurate overall. If you've ever been frustrated with transcripts that mess up technical terms or struggle with different accents, you'll probably appreciate this upgrade. It just works better. Some quick tech specs if you're curious. It has a 16,000 token context window, which means it can handle longer audio clips in one go. And it can output up to 2,000 tokens, so you'll get nice complete transcripts. The model's knowledge is current up to June 2024.
Performance Metrics
4.09s
Prediction Time
4.10s
Total Time
All Input Parameters
{ "language": "en", "audio_file": "https://replicate.delivery/xezq/ejt5KPWzFp25fUGtjPhwFmeeG5nFpCvu5zSMIySXnemTWn0lC/tmptuxz6n1z.mp3", "temperature": 0 }
Input Parameters
- prompt
- An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
- language
- The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
- audio_file (required)
- The audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm
- temperature
- Sampling temperature between 0 and 1
Output Schema
Output
Example Execution Logs
Input audio duration: 52.2 seconds Input token count: 870 Output token count: 167 Total token count: 1037 TTFT: 2.46s
Version Details
- Version ID
60b48ed4cd354f9482bf2d4d39df27a6da5191dd93b5f411592da2fdc7e72e2d
- Version Created
- October 13, 2025