Fully Offline Voice to Text with Local Whisper

Many dictation tools offer cloud processing, while some also provide on-device modes. The important question is which mode is active and what data leaves your device.

For most people, that’s fine. For some people, it’s a dealbreaker.

Who actually needs offline dictation?

This isn’t a theoretical privacy concern. These are real use cases where cloud-based transcription is either risky or prohibited:

Legal professionals. Confidentiality requirements can make cloud processing inappropriate for some work. Organizations should evaluate their own professional and contractual obligations before choosing a transcription mode.

Healthcare workers. Regulated health information can require specific contracts, controls, and risk analysis. Finch does not claim that its consumer cloud mode makes a workflow compliant; organizations should perform their own assessment.

Security-conscious organizations. Air-gapped environments exist for a reason. Government contractors, defense firms, and security research teams often work on machines with no network access. Dictation needs to work without a connection, period.

Anyone on unreliable internet. Planes, trains, rural areas, coffee shops with terrible WiFi. Cloud dictation fails when the connection drops. Offline dictation works the same whether you’re in a data center or a national park.

People who just value privacy. You don’t need a legal or compliance reason to not want your voice recorded on someone else’s infrastructure. “I’d rather not” is a perfectly valid reason.

How offline voice-to-text actually works

The technology that makes this possible is Whisper, OpenAI’s open-source speech recognition model. Released in 2022 and continuously improved since, Whisper runs entirely on your local hardware.

Two things matter for local Whisper:

Model size determines accuracy. The tiny model (39MB) is fast but makes more mistakes. The base model (74MB) is a good balance. The large model (~1.5GB) is the most accurate but needs serious hardware. For real-time dictation, you want something in the middle.

Your hardware determines speed. Modern CPUs handle the smaller models fine. A decent GPU makes everything faster. Apple Silicon Macs are particularly good at this, the Neural Engine was designed for exactly these workloads.

The practical setup

There are a few ways to get fully offline dictation working:

Option 1: Raw Whisper (free, requires terminal comfort)

Install Whisper, record audio with any tool, run it through the model. This works but it’s not real-time dictation. You record, process, get text. Good for batch transcription (interviews, lectures), not for “I’m dictating an email right now.”

Option 2: Whisper-based desktop apps

Several apps wrap Whisper in a usable interface. The quality varies dramatically. Some are Electron bloat that barely works. Some are genuinely good.

Option 3: Finch Privacy Mode

Finch’s Privacy Mode is a licensed mode that keeps normal dictation local and blocks Finch’s automatic network traffic. Audio is processed by a local Whisper model (Speed mode at 31 MB or Quality mode at 190 MB), transcribed on your device, and not saved to disk by Finch.

License management and model downloads that you explicitly initiate can still connect. The current UI asks before each action or download request. Use an operating-system firewall or physically disconnect networking when you need an enforced air gap.

The workflow is the same as cloud mode: press your hotkey, speak, and release. Local performance depends on the computer, model, recording length, and other running workloads.

What you give up in Privacy Mode: Finch’s optional text cleanup and voice commands. The local Whisper model returns the transcription without that post-processing.

For most offline use cases, that’s the right tradeoff. The transcription is accurate enough that light manual editing is faster than the cloud round-trip you’re trying to avoid.

Performance expectations

Local performance varies with hardware, model choice, recording length, ambient noise, and other running workloads. Test both included model sizes on your own system during the 30-day refund period.

The Speed model (31MB) is good enough for everyday dictation. Clear speech, reasonable pace, not too much background noise. The Quality model (190MB) handles accents, technical terms, and noisy environments better.

What offline dictation can’t do (yet)

Being honest about the limitations:

Accuracy varies. Local and cloud engines make different errors. Results depend on audio quality, vocabulary, accent, model, and provider. Finch does not include specialized medical or legal vocabulary packs.

No text cleanup or voice commands in Privacy Mode. Finch disables post-transcription cleanup and voice-command dispatch when Privacy Mode is active. Finch does not currently ship an Ollama or other local-LLM cleanup integration.

Vocabulary adaptation. Finch’s local models are static. Personal-dictionary entries do not currently adapt or correct local Whisper results, and Finch does not claim that the model learns from corrections.

The privacy spectrum

Not everyone needs full offline. There’s a spectrum:

1. Full cloud (Otter, cloud Dragon): Audio goes to cloud, text comes back. Convenient, least private.
2. BYOK cloud (Finch cloud mode): Audio goes directly from the app to Groq or Deepgram using your API key. Provider account settings and policies determine retention.
3. Offline dictation (licensed Finch Privacy Mode): Finch uses local Whisper and blocks automatic cloud features, license revalidation, update checks, and new history writes. Explicit user-initiated license or model-download actions can still connect.

Pick the level that matches your requirements. If your organization handles regulated or confidential information, complete its required review before using any transcription tool.

Getting started with offline dictation

If you want to try offline voice-to-text:

1. Download Finch for Windows 11. The macOS download is temporarily unavailable pending signing and notarization.
2. Skip the API key setup during onboarding
3. Activate your license and download a local model while connected
4. Enable Privacy Mode in settings
5. Choose your local model (Speed for fast, Quality for accurate)
6. Press your hotkey and start talking

No Finch login or API key is required for local mode, but purchasing and activating the $49 license uses your email and Finch’s licensing service. Paid licenses have a 30-day refund period.

The technology for private, offline dictation exists today. It’s good. It’s getting better every few months. And there’s no reason to send your voice to someone else’s cloud if you’d rather not.