Text area analysis

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This structure analysis algorithm works best with sparse irregular text and low-quality photos. It detects smaller text areas in an image, such as individual words, phrases, or lines, and then positions them relative to each other in recognition results.

Text area analysis algorithm

It is optimal for invoices, screenshots, driver’s licenses, social security cards, government and work IDs, visas, math formulas, code snippets, and more. It can also detect small texts such as handwritten notes, signatures or stamps. In addition, it is well suited for reading smartphone photos and low-quality scans.