Whisper by OpenAI

A neural net for speech recognition

5.0
7 reviews20 shoutouts

490 followers

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.

Whisper by OpenAI shoutouts

Testimonials from top launches

Trending
Harker
Manuele
used this to buildHarkerHarker
(95 points)
OpenAI's Whisper model powers Harker's speech recognition. It's incredibly accurate across 50+ languages and works perfectly offline, which was essential for Harker's privacy-first approach.
Anna Sannikova
used this to buildPitch Avatar
(779 points)
Whisper enables accurate speech-to-text conversion, allowing our avatars to process and understand spoken input, ensuring seamless communication and enhanced user interaction.
Saywise
CK Chang Kim
used this to buildSaywiseSaywise
(550 points)
Accurate and fast AI-powered speech API for working with audio.
Vlad Yan
used this to buildAgentplace
(954 points)
Whisper delivers state-of-the-art speech recognition with unmatched accuracy, enabling seamless voice interactions in our AI-powered websites and apps.
Voicenotes
Jijo Sunny
used this to buildVoicenotesVoicenotes
(1,729 points)
Whisper is an AI transcription model that we use at Voicenotes.
Linda - Your Podcast Creator
Nancy Garcia
used this to buildLinda AILinda - Your Podcast Creator
(144 points)
Fastest and scalable.
Rapport Self Service
Will Millership
used this to buildRapport AI-Driven AvatarsRapport Self Service
(346 points)
Use Whisper to help your characters understand conversations!
Bocca
Paul Marniquet
used this to buildBoccaBocca
(86 points)
I would like to thank Whisper from OpenAI for making it easy to develop my application. Their tools simplified the use of AI models for audio, allowing for a more straightforward and efficient development process.
Enigma
Carlos Olivieri
used this to buildEnigmaEnigma
(165 points)
We automatically transcribe accounts of unidentified aerial phenomena from our skywatchers
QWiser
Barak Saidoff
used this to buildQWiserQWiser
(744 points)
Helped us quickly transcribe audio content, so we can create better learning experiences for QWiser users with ease.
mgmate
Kostya Bolshukhin
used this to buildmgmatemgmate
(721 points)
Helps us understand better what you mean, when you record a note or task with voice.
TalkTastic
Matt Mireles
used this to buildTalkTastic for macOSTalkTastic
(546 points)
TalkTastic runs a mod of open-source Whisper to transcribe speech on-device and in the cloud.
Hedy AI
Julian Pscheid
used this to buildHedy AIHedy AI
(369 points)
We use the Whisper models for speech analysis on device.
Boggl.ai-Your Voice AI Product Assistant
Swarna Hebbar
Whisper helps Boggl in converting your speech to text.
Podcatcher
Bogdan Popa
used this to buildPodcatcherPodcatcher
(52 points)
I use Whipser to automatically generate podcast transcriptions in Podcatcher.
RTranslator
Luca Martino
used this to buildRTranslatorRTranslator
(131 points)
This is a great model for speech recognition. The transcription quality is excellent and it is free and open-source.
Yenbek
Zhangir Siranov
used this to buildYenbekYenbek
(66 points)
Amazing feature that enables the crucial part of the app - Ramble feature.
HyperCatcher
David Norman
used this to buildHyperCatcher 3.0HyperCatcher
(79 points)
Whisper was open sourced by OpenAI and is able to run really well directly on Apple Hardware using the Apple Neural Engine. Podcasts are about to get some really cool features and I'm looking forward to helping build them!
DemoDazzle
Anveeg Sinha
used this to buildDemoDazzleDemoDazzle
(61 points)
Whisper enables precise lip-syncing for our avatars, creating realistic and synchronized speech animations that enhance the overall user experience.
Skeleton Fingers
Brian Correa
used this to buildSkeleton FingersSkeleton Fingers
(84 points)
Audio transcription is powered by Whisper directly in your browser.