OCR and Document AI Annotation Services for Structured Document Understanding

Document AI systems depend on high quality annotation to correctly extract text, identify layout structure, and interpret both printed and handwritten content. Industries such as finance, insurance, logistics, and public administration rely on OCR based automation to process receipts, invoices, forms, contracts, identity documents, and operational paperwork.DataVLab provides OCR and Document AI annotation services designed to improve text extraction, field detection, layout recognition, and semantic structuring. We annotate text bounding boxes, reading order, segmentation regions, table structures, checkboxes, signatures, stamps, and embedded images. For forms, we label key value pairs, field boundaries, and domain specific semantics.Our teams handle document scans, mobile captures, PDFs, low quality images, and multi page records. We support handwriting annotation for both isolated words and full text paragraphs. Quality control includes multi pass review, consistency checks, and taxonomy validation to ensure accurate structure and alignment across datasets.We also support EU based annotation teams and secure infrastructure for projects involving sensitive documents such as medical records, financial statements, and identity verification files.These workflows help organizations improve document automation pipelines, reduce manual data entry, and train OCR and Document AI systems that perform consistently across real world conditions.