typurr-edit-tagger — cleanup with NO text generation
Most "AI text cleanup" pays an autoregressive language model to retype your
whole sentence around three fixes. This model doesn't generate at all: one
encoder pass tags every word — keep / delete, punctuation-after,
capitalize — and reconstruction is pure string ops.
~150 ms on CPU (fixed-shape ONNX, 96 tokens, runs in
tract — no GPU, no llama.cpp)
Typurr — speak, it types. Nothing leaves your machine.
Typurr demo
A Windows dictation app and voice assistant that runs entirely on your own
hardware: hold a hotkey, talk, release — finished text lands at your cursor
in any app. No account, no telemetry, no audio in anyone's cloud.
Instant finish — its models clean your speech while you talk; the text
is ready the moment you release the key
Speaks & listens — neural voice read-backs, review-before-send by voice,
"typurr do…" compound commands, wake word
Learns you — your vocabulary, your corrections, your style; all in plain
files on your disk
Gives AI agents a voice — local MCP server: your agents can speak, ask
you questions aloud, and type at your cursor
Get it:typurr.com ·
GitHub ·
scoop install https://raw.githubusercontent.com/typurrapp/typurr/main/typurr.json
