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Understand how OCR works
Optical Character Recognition turns pixels into editable text through three stages
1. Preprocess the image
Align text lines, smooth pixel noise, and enhance contrast to make characters as clear as possible for recognition.
2. Isolate each character
Segment the image into individual characters by analyzing pixel boundaries and spacing patterns between letters and words.
3. Identify each character
Match character shapes against known patterns using contextual clues from surrounding characters and words to maximize accuracy.
Extract text from any source imaginable
Our OCR engine handles printed text, screenshots, scanned documents, and more
Convert scanned PDFs
Turn image-based PDFs into searchable, editable text. Process contracts, reports, and archived documents.
Read photos and screenshots
Snap a photo of a whiteboard, menu, sign, or any printed text and extract it instantly.
Digitize invoices and receipts
Pull line items, totals, and vendor details from invoices and receipts for accounting and bookkeeping.
Handle multi-language text
Extract text in dozens of languages and character sets, from Latin to CJK and Arabic scripts.
Read identity documents
Extract names, dates, and ID numbers from passports, driver's licenses, and government IDs.
Digitize printed books
Convert scanned book pages into editable text for research, indexing, or archival purposes.
Get answers to common questions
Find everything you need to know about our free OCR tool
Supercharge your workflow with the API
Go beyond the free tool. Process thousands of images programmatically with the Optiic API.