Typing is slow. Speaking is fast. The free AI speech-to-text desktop apps compared in this guide close that gap without sending your voice to a cloud server or charging a monthly fee. Most run OpenAI's open-source Whisper model directly on your computer, so transcription works offline and keeps recordings private.
Some apps transcribe audio files, others dictate into any text field, and a few do both. Some need the command line; others install like any normal program. This guide compares eight free options across Windows, Mac, and Linux.
Dictation vs. transcription: pick the right job
Dictation converts your live speech into text as you talk, typing into whatever document or email is open. Transcription converts an existing audio file or recorded meeting into a written document. Most tools lean one way, so decide which job you need first.
Next, decide how much privacy matters. Offline tools download a speech model once and process everything locally, which matters for interviews, client calls, or anything confidential. Cloud tools are often faster on weak hardware but your audio travels to someone else's server. This guide prioritises offline-first tools, plus built-in options that cost nothing.
Finally, think about hardware. Whisper's larger models are more accurate but need more memory and time; smaller models run on almost any laptop but make more mistakes with accents and noise. Start with a small or medium model and move up only if accuracy disappoints.
1. Buzz: the best free GUI for most people
Buzz is a free, open-source desktop app for Windows, Mac, and Linux that wraps Whisper in a clean graphical interface. Drop in an audio file, pick a model and language, and export the transcript as plain text, SRT subtitles, or VTT captions. It also supports live microphone transcription.
Buzz is the best starting point because it removes the command line entirely: installation is a normal download and the interface explains itself. The trade-off is speed: on a CPU-only machine, long recordings take a while with the bigger models, so start small and step up only if you need cleaner output.
2. whisper.cpp: maximum accuracy and control
whisper.cpp is a C and C++ port of OpenAI's Whisper model, and the engine underneath Buzz and several other apps here. It runs entirely on your computer and gives you precise control over model size, language, output format, and decoding settings.
The cost is the terminal: you fetch a model file and run commands to transcribe files. That barrier is also what makes whisper.cpp ideal for batch work, since a short script can transcribe an entire folder overnight. If you are comfortable with a terminal, this is the accuracy benchmark everything else is measured against.
3. faster-whisper: the developer-friendly engine
faster-whisper is a Python reimplementation of Whisper designed to run faster on ordinary hardware. Developers use it as a building block inside their own apps, scripts, and automation pipelines.
For non-developers it matters indirectly, powering several open-source dictation tools. If you write Python, it is the quickest route to adding transcription to a project: install the package, load a model, and you get timestamped segments to format as you like. If you do not code, skip it and use Buzz.
4. MacWhisper: the simplest Mac file transcriber
MacWhisper is a Mac-only app that runs Whisper models locally. Drag in an audio file, it transcribes on your machine, and you export the result. A free tier covers everyday use, with a paid Pro upgrade unlocking the largest models.
MacWhisper wins on polish: it is the least fiddly way for a Mac user to transcribe recordings without a terminal or cloud service. Its limitation is obvious: it is Mac-only and focuses on file transcription rather than live dictation. For lectures, interviews, and voice memos on a Mac, it is hard to beat.
5. Aiko: the cleanest fully free Mac app
Aiko is another Mac-only option, completely free. It records audio or imports existing files and transcribes them locally with Whisper. The interface is minimal: pick a model, record or import, read the transcript.
Aiko suits Mac users who want a no-cost tool without tiers or upgrades. It does not do live dictation into other apps, but for turning voice memos and meeting recordings into text, it is a strong free pick, and on-device processing suits sensitive audio.
6. Handy: free open-source dictation into any app
Handy is a free, open-source dictation app for Windows, Mac, and Linux with a different job: it types what you say into whichever text field is active. Press a keyboard shortcut, speak, and your words appear in your document, email, or chat window. It also supports newer local models such as Parakeet V3 alongside Whisper.
Handy is the best free option if your goal is writing by voice rather than transcribing files. Drafting emails and notes goes noticeably faster when you speak in full paragraphs. Expect light cleanup afterwards: spoken punctuation, names, and technical terms still need a quick pass.
7. Windows Voice Access: zero-setup dictation on Windows 11
Windows Voice Access is built into Windows 11, free, and needs no download. Press Windows plus H to start voice typing, and dictate into any text field. It also supports basic voice control of the computer itself.
Accuracy is a step below Whisper-based tools, especially with accents or background noise. But for quick replies and short notes with nothing to install, it is the fastest option on Windows. Treat it as your baseline: if it is good enough, you are done; if not, move up to Buzz or Handy.
8. Apple Dictation: zero-setup dictation on Mac and iPhone
Apple Dictation is built into macOS and iOS, free, and runs on-device on Apple Silicon Macs. Turn it on in System Settings under Keyboard, then press the dictation shortcut to speak into any text field.
Like Windows Voice Access, it trades some accuracy for zero setup, and handles short dictation well: messages, search queries, and quick notes. For long-form writing or transcribing recordings, the Whisper tools above produce cleaner results. But as an always-available free tool, it deserves a place in every Mac user's workflow.
Quick setup: transcribe your first file with Buzz
If you only try one tool from this list, make it Buzz. Setup takes about ten minutes.
1. Download Buzz for your operating system from its official release page and install it like any other app.
2. Open Buzz and download a model. Start with the small or medium model: they download faster and run on modest hardware.
3. Drag an audio file into the window, or choose the microphone option for live transcription.
4. Select the spoken language if you know it. Automatic detection works, but picking the language usually improves accuracy.
5. Click transcribe, then export the result as plain text for documents or SRT if you need subtitles.
Two tips matter most. Clean audio beats a bigger model: a close microphone and a quiet room improve accuracy more than upgrading from the medium to the large model. And split very long files into chunks of thirty minutes or less if the app slows down.
How to get more accurate transcripts
Free tools vary in accuracy, but your recording habits matter as much as the app. Speak at a natural pace, slightly slower than conversation, and pause between sentences. Keep the microphone a consistent distance from your mouth and away from keyboards, fans, and traffic noise.
Post-processing helps too. Read the transcript while listening to the original at higher speed and fix errors in one pass. For subtitles, most tools export SRT or VTT files you can adjust in any text editor.