Utter.to

What is Utter.to?

Utter is an AI-powered voice-to-text tool designed for Mac and iPhone, enabling you to dictate up to four times faster than typing. It seamlessly integrates into any application where you can type, allowing you to use keyboard shortcuts to start, stop, and paste transcriptions without interrupting your workflow. The app supports both on-device and cloud dictation, ensuring fast real-time transcription even without an internet connection. Utter offers versatile use cases: from drafting emails and notes to summarizing meetings and generating action items. Its advanced features include automatic speaker separation for meetings, which produces speaker-labeled transcripts that you can rename, merge, and edit. Utter also provides AI rewriting tools to adjust tone and structure for different contexts like email, chat, or summaries. You can transcribe audio and video files by adding them manually or setting up automatic folder monitoring. Additionally, it can summarize content from URLs, including YouTube videos, PDFs, websites, and podcast RSS feeds. All recordings and transcripts are saved, synced across devices, and searchable, with the ability to play back original audio for verification. Utter supports over 50 languages and includes translation capabilities. Privacy is prioritized: audio stays on your device when using local dictation, and you can choose between local or cloud processing with one click. The app is free to download, with a pricing model that likely offers a free tier and premium subscription for advanced features. Utter is ideal for professionals, writers, students, and anyone who wants to capture thoughts quickly and efficiently, turning speech into polished text in any app.

Use Cases

Key Features

voice to text dictation 4x faster typing keyboard shortcuts on device dictation cloud dictation speaker separation AI rewriting file transcription URL summarization cross device sync

Who is it for?

Mac users, iPhone users, professionals, students, content creators, meeting participants, podcast listeners

Similar Tools