Maker Shoutouts
Testimonials from top launches
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Whisper enables accurate speech-to-text conversion, allowing our avatars to process and understand spoken input, ensuring seamless communication and enhanced user interaction.
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Whisper delivers state-of-the-art speech recognition with unmatched accuracy, enabling seamless voice interactions in our AI-powered websites and apps.
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Whisper is an AI transcription model that we use at Voicenotes.
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I use Whipser to automatically generate podcast transcriptions in Podcatcher.
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Helped us quickly transcribe audio content, so we can create better learning experiences for QWiser users with ease.
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Helps us understand better what you mean, when you record a note or task with voice.
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We use the Whisper models for speech analysis on device.
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TalkTastic runs a mod of open-source Whisper to transcribe speech on-device and in the cloud.
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Whisper helps Boggl in converting your speech to text.
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Amazing feature that enables the crucial part of the app - Ramble feature.
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This is a great model for speech recognition. The transcription quality is excellent and it is free and open-source.
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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!
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Whisper enables precise lip-syncing for our avatars, creating realistic and synchronized speech animations that enhance the overall user experience.
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Audio transcription is powered by Whisper directly in your browser.