The Speechify Windows app uses local forms for transcription and dictation

Voice AI company Speechify has just launched a native app Windows application Which uses locally stored forms to enable cross-app dictation and read articles, documents or PDFs aloud using its library of sounds.

The company takes on the likes Flow Wispr, Willow, and Superwhisper Who also offer cross-platform dictation and transcription apps.

Speechify said the Windows app does all the audio processing on-device on Copilot+ PCs (which have NPUs from AMD, Intel, and Qualcomm) and other Windows 11 PCs that have GPUs from Intel and AMD.

The app has three on-device modules: neural text-to-speech, real-time voice activity detection, and Whisper-powered transcription. Users can configure the application to switch to cloud-based models or even change them during use.

The company that ended 50 million usersVITS Neural can generate audio across seven different speed presets, allowing users to read documents or web pages out loud, he said. The company uses Celero model is open source To detect audio activity.

“More than a billion people on the planet use Windows. With this Windows launch, we’re making sure that reading and writing will now never be a barrier, no matter what device you use or how you prefer to work. We’re particularly excited about the opportunity in the enterprise given the number of professionals who have asked to use Speechify on their PCs,” Cliff Weitzman, founder and CEO of Speechify, said in a statement.

The company launched last month Granola-like meeting transcriptsbut this feature was limited to browser-based meetings. Now that the company has cross-platform apps, it will likely bring this feature to native apps to transcribe meetings on any app or browser.

Until a few years ago, Speechify was largely focused on… Text-to-speech use cases Such as reading articles, emails, and creating audio files from documents. The company has recently been trying to become a full-fledged voice app for users by launching dictation, meeting transcription, and Voice assistant.