Data Annotation & LabelingBeginnerTier 1 · $25
OCR Correction
Correcting machine-read text against the source image without silently rewriting it.
3 modules120 minutes of material10 exam questions · 80% to pass
Syllabus
01Character fidelity
40 min- Fix what the scanner got wrong
- Leave what the page actually said
02Layout and language
45 min- Preserve reading order and columns
- Handle mixed-language pages
03Confident versus inferred text
35 min- Flag inferred characters
- Refuse silent normalisation
Assessed concepts
The exam tests these directly. Definitions are summarised here; the exact answer key stays on the server.
Character fidelity
Layout preservation
Inferred characters
Language variant
Silent normalisation