Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language.
Whisper AI transcription. Transcribe audio with highly accurate results using OpenAI Whisper. Unlimited AI transcription, 100+ languages, speaker labels. Try free.
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
Whisper Web brings powerful speech‑to‑text to your browser. Transcribe audio and video privately, on‑device, with no server uploads. Try it instantly at whisperweb.app.
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and multiple other languages, and can translate several non-English languages into English. [1] .
Whisper AI Transcription — Audio, Video & YouTube to Text in Seconds
Join 100k+ users who transcribe their audio in minutes with the help of our Whisper AI models and grow their brand by creating content directly in our app. Try it for free now.
Transforming audio into text is now simpler and more accurate, thanks to OpenAI’s Whisper. This article will guide you through using Whisper to convert spoken words into written form, providing a straightforward approach for anyone looking to leverage AI for efficient transcription.