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