Question 1

Does my audio really stay on my computer?

Accepted Answer

Yes. Recognition is done by a local process — VOSK, an open-source Kaldi build — on your CPU. The product contains no upload endpoint, no telemetry and no account. Unplug the network and it keeps working.

Question 2

Which systems does it run on?

Accepted Answer

Windows 10 and 11, 64-bit, and Linux: Ubuntu 22.04 / 24.04 and Debian 12 and later, x64. There is no 32-bit build and no macOS build yet.

Question 3

Why is an installer about 100 MB instead of 55 MB?

Accepted Answer

The portable executable is 55 MB. Each installer adds a small recognition model for its language, so that the first launch already works offline instead of downloading 30–50 MB first.

Question 4

How accurate is it, really?

Accepted Answer

It depends on the language and the model, and we would rather not give you one number. A small model is good for notes and short sentences; a large model is noticeably better and takes one to two minutes to load. Pick the language, then switch the size in Settings.

Question 5

Do I need a graphics card?

Accepted Answer

No. Recognition runs on the CPU. A small model needs about 0.3 GB of RAM and starts in seconds; a large one wants a few gigabytes and a minute of loading.

Question 6

Is it really free?

Accepted Answer

Yes. No subscription, no payment, no ads. Recognition runs on your own machine with the VOSK engine and never sends your voice anywhere.

Question 7

What happens to my recordings?

Accepted Answer

Nothing is recorded unless you ask for it. Transcripts are written to a text file, and the history database is a SQLite file in your user profile. Delete the app, delete the folder, and it is gone.

Question 8

Windows warns about an unknown publisher.

Accepted Answer

The Windows binaries are not code signed yet. SmartScreen shows a warning on first run: choose “More info” → “Run anyway”. Each release on GitHub carries SHA-256 checksums.

Question 9

Can I use it from the command line?

Accepted Answer

Yes. `VoxSpica.exe mic`, `VoxSpica.exe file meeting.mp3`, `VoxSpica.exe history --search "meeting"` — the CLI and the window share one settings file and one history database.

Tagalog (tl-ph) — offline speech-to-text

small model

Model size

RAM