Best speech to text, tested

Raw accuracy used to be the whole story. It isn't anymore. Most modern tools lean on Whisper-derived models, so the words come out roughly the same. The real gap shows up in what happens after the audio is transcribed.

Does the tool clean up grammar and drop the ums? Does it format text to match where you're writing? Privacy and offline support matter too, more than people expect. Cloud tools send your audio to a server, which is fine for a lot of work and a dealbreaker for some. If you handle sensitive information or work without reliable internet, you want something that runs on your machine. You can check your own input first with our mic test.

These tools aren't all chasing the same job. Some do real-time dictation that types into any app. Others record meetings and hand you a transcript afterward. A couple ship free with your operating system. The table below lays out where each one fits.

Superwhisper types into any app on macOS, Windows, and iOS. Its Super Mode reads your screen and shapes the output to context, so emails read like emails and code prompts stay technical. It runs on-device, with optional cloud models for tough audio. The free tier doesn't expire and Pro starts at $8.49/mo.

Wispr Flow is the closest comparison, a cloud dictation tool with AI rewriting and HIPAA available. Everything runs on their servers, so it needs internet to work. See the full Superwhisper vs Wispr Flow breakdown for the details.

Otter.ai is built for meetings rather than typing into apps. It records calls and hands back transcripts with summaries, and it does that well. Apple Dictation and Windows Voice Access are free and already on your machine. They handle quick voice typing fine, but they don't do AI cleanup or context awareness. MacWhisper is a one-time purchase that transcribes audio and video files locally on a Mac, with no live dictation.

The built-in dictation on Mac and Windows hadn't moved in years. It transcribes your words but doesn't understand what you're trying to do. We wanted to close the gap between raw transcription and text you can actually use, so the output adapts to whether you're writing an email or talking to a coding assistant.

On-device processing was the other thing we cared about. Sending audio to a server adds latency, needs internet, and pushes your words through someone else's infrastructure. For a tool people use all day, that felt wrong. Guillermo Rauch, the CEO of Vercel, called it "insanely fast and does just what you expect." Andrej Karpathy coined the term "vibe coding" while using it with Cursor. If you want a tool that types everywhere, our dictation software page goes deeper.