Amical

Where it falls short

• No independent reviews. I could not find third-party testing of Amical. Everything here is drawn from the repository and the project's own documentation; the "super-fast" positioning is unverified.
• Two model stacks to install. Whisper and Ollama, both pulling multi-gigabyte weights. Setup is heavier than a single-model app, and running an LLM locally wants RAM most laptops would rather spend elsewhere.
• Electron. Same memory trade-off as OpenWhispr.
• No Linux yet. Planned, not shipped.
• Small project. 41 open issues against a small team. Fine for enthusiasts, thin if you need something to just work.

Pricing

Free, MIT licensed. The only cost is disk space and the RAM the local models occupy.

Who it's for

People who want the polished output of a cloud dictation tool without sending audio anywhere, and who have a machine with enough headroom to run a local LLM alongside their actual work. It's the most interesting free option architecturally. If your hardware is modest or you want something more battle-tested, Handy is lighter and far more widely used, at the cost of giving you a raw transcript instead of finished prose.

Last verified: 9 August 2026. No independent reviews located; details are from the project's own repository.