SACCADE
Browser-native image text extraction
Zero external dependencies · Xinu compliant · Offline first
INGEST› THRESH› SEGMENT› CLUSTER› (LABEL)› WARM UP› QUANTIZE› MATCH› EMIT
OPEN SACCADE
Drop an image and read it. A tiny neural net teaches itself from your browser's own fonts — no server, no cloud, no API — then quantizes to ternary weights via TMAC lookup tables for 4× faster inference. For unusual fonts, label character clusters: your samples persist in a .sacat atlas file that grows smarter with every session.
SINGLE FILEno build step
copy anywhere
TMAC INFERENCEBitNet b1.58 ternary
lookup tables
.SACAT LIBRARYpersistent atlas
font-fingerprinted
ANY BROWSERChrome · Firefox
Safari · Mobile