When pixels—not vectors—carry the words
Clinic photocopies, captured whiteboards, and decades-old journals trap language inside bitmaps until OCR liberates it. Accuracy hinges on DPI, deskewing, feathered stamps, and multilingual layouts—especially where handwriting kisses printed totals. Ai2Done foregrounds progress while recognition churns so marathon bundles never masquerade as hung sessions; pilot representative spreads mixing rulings and marginalia before trusting automation on finance-grade rows. Never pipe raw OCR JSON straight into prod without sampling plans—IDs and currency deserve human spot checks or secondary validators. Document dictionaries and rotation corrections whenever you rebuild searchable PDF layers so regulators can replay methodology.
OCR extraction in three steps
- Assess skew/blur; preprocess crops when necessary.
- Pick language/orientation configs aligned with your corpus.
- Export text with QA focus on tables/stamps; gate PII carefully.
FAQs: OCR
Tables scrambled?
Raise resolution or apply table-specific reconstruction passes.
Vertical scripts failing?
Segment vertical blocks or choose orientation-aware models.
Privacy obligations?
Minimize retention, redact outputs, and control export paths.