Speechify launches Windows app powered by local AI for transcription and dictation

Voice AI company Speechify has introduced a native Windows application that uses locally stored AI models to support dictation across apps and read aloud articles, documents, and PDFs through its library of voices.

With this launch, the company steps into competition with platforms like Wispr Flow, Willow, and Superwhisper, all of which offer cross-platform transcription and dictation solutions.

According to Speechify, the new Windows app performs voice processing entirely on-device for Copilot+ PCs equipped with NPUs from AMD, Intel, and Qualcomm, as well as other Windows 11 systems powered by GPUs from Intel and AMD.

The application runs three separate models locally: neural text-to-speech, real-time voice activity detection, and transcription powered by Whisper. Users can also switch to cloud-based models or adjust model settings during use.

Speechify, which reports having more than 50 million users, said its SIMBA model can generate audio at seven different speeds. This allows users to listen to documents or web content at their preferred pace. For detecting voice activity, the company uses the open-source Silero model.

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

Last month, the company introduced a meeting transcription feature similar to Granola, although it was limited to browser-based meetings. With native apps now available across platforms, the company is expected to expand this capability to support transcription across any app or browser.

In earlier years, Speechify primarily focused on text-to-speech applications, including reading articles and emails aloud and turning documents into podcast-style audio. More recently, the company has been expanding into a broader voice technology ecosystem by adding dictation tools, meeting transcription, and a voice assistant, positioning itself as a full-stack voice solution for users.