What is offline voice-to-text?
Offline voice-to-text (also called offline speech recognition or offline dictation) is the process of converting spoken audio into written text entirely on your local device — without sending any data to a remote server or requiring an internet connection.
Unlike cloud-based dictation tools (Google Docs voice typing, Apple Dictation with cloud mode, Dragon Cloud), offline voice-to-text processes audio on your own CPU or GPU. The AI model runs locally, and your audio never leaves your machine.
This matters for three reasons:
- Privacy — your words are never stored on a company's servers
- Reliability — works without internet, in airplane mode, or on air-gapped machines
- Latency — local models can be faster than a round-trip to a remote server
How Whisper AI works
Whisper is an automatic speech recognition (ASR) model developed by OpenAI and released as open source. It is the engine behind most modern offline speech-to-text applications, including AirTypes.
Whisper works by:
- Recording your audio into a short audio buffer
- Running the audio through a deep neural network (transformer architecture)
- Predicting the most likely text transcript token by token
- Returning polished, punctuated text
Whisper comes in several model sizes, each trading off speed versus accuracy:
| Model | Size | Speed | Accuracy | RAM Needed |
|---|---|---|---|---|
| Tiny | ~40 MB | <1 second | Good for everyday use | Any |
| Base | ~75 MB | 1–2s | Very good | Any |
| Small | ~245 MB | 2–3s | High | 4 GB |
| Medium | ~770 MB | 3–5s | Very high | 6 GB |
| Large V3 Turbo | ~875 MB | 4–6s | Near maximum | 8 GB |
| Large V3 | ~1.6 GB | 5–8s | Maximum | 12 GB |
For most users, the Base or Small model offers the best balance of speed and accuracy. For professionals needing near-perfect transcription, Large V3 Turbo is the sweet spot.
Cloud vs. offline: the real privacy difference
Most voice-to-text apps — including Google's speech API, Azure Speech, and many dictation apps — send your audio to cloud servers for processing. This means:
- Your words pass through someone else's infrastructure
- The audio may be stored, logged, or used to train future models
- You lose control the moment you speak
- A data breach at their end exposes your recordings
With offline speech recognition, your audio never leaves your device. The Whisper model runs entirely on your CPU — no internet required for transcription. AirTypes uses a quick free signup so you can download, sync settings, and use features like an optional profile photo; that does not change where your speech is processed.
This is particularly important for: lawyers (client confidentiality), doctors (HIPAA compliance), developers (code and business secrets), journalists (source protection), and anyone who values data sovereignty.
Best offline voice-to-text apps in 2026
The landscape of offline dictation apps has grown significantly since Whisper was open-sourced. Here are the leading options:
AirTypes (Windows, macOS, Linux)
Best for: cross-platform users, developers, privacy-focused professionals
AirTypes is a hotkey-driven offline dictation app built on Whisper AI. Hold a key, speak, release — your text appears at the cursor in any application. Key advantages: true cross-platform (including Linux), My Agent (bring your own AI key — replies typed at your cursor; nothing through AirTypes servers), optional Agent profiles (say a name like "Prompt" at the start), and a $3.99/month price that's among the lowest in the category.
Superwhisper (macOS)
Best for: macOS power users
A polished macOS-only dictation tool. Good UX, strong accuracy. macOS-exclusive.
Wispr Flow (macOS, Windows, iOS, Android)
Best for: multi-device users on macOS/Windows
Strong product with good AI editing. No Linux support. Cloud-assisted by default.
Whisper Flow (Windows, macOS, iOS)
Best for: users who want an active blog and community
Feature-rich, good FAQ/documentation. No Linux. More expensive tier for advanced features.
Tips for better offline speech recognition accuracy
- Use a good microphone — the biggest accuracy factor is audio quality. A USB condenser mic or quality headset outperforms a laptop built-in by a significant margin.
- Speak at a natural pace — don't slow down artificially. Whisper is trained on natural speech; speaking unnaturally can reduce accuracy.
- Reduce background noise — quiet environments improve accuracy, especially for smaller models.
- Choose the right model size — if accuracy matters more than speed, use Small or above.
- Set your language explicitly — if you primarily speak one language, setting it explicitly rather than using auto-detect can improve accuracy.
- Enable filler word removal — tools like AirTypes strip um, uh, like, and other fillers automatically, making your output cleaner regardless of how you speak.
Getting started with AirTypes
Setting up AirTypes takes under two minutes:
- Download AirTypes for your platform (Windows, macOS, or Linux) from airtypes.com
- Open AirTypes — it sits in your system tray
- Click "Download Model" to fetch your chosen Whisper model (Base is a good start)
- Place your cursor in any application and hold Ctrl+Shift+Space
- Speak — release the hotkey when done
- Your transcribed text appears at the cursor, cleaned up and ready
Quick free signup. No API key. Works offline from the first use.