Document OCR & Extraction API

Document OCR (Optical Character Recognition) is a foundational technology for automating document-heavy business processes. From KYC onboarding to insurance claims, lending to accounting, businesses process millions of documents daily that need to be converted from images and PDFs into structured, machine-readable data. digiverification 's Document OCR API uses advanced AI and deep learning models to extract text and data with industry-leading accuracy.

Our OCR engine handles the unique challenges of Indian documents — multiple languages (Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Gujarati, Marathi, and more), varied document formats, poor scan quality, handwritten text, and complex multi-column layouts. Whether you're processing Aadhaar cards, bank statements, salary slips, utility bills, or government certificates, our API extracts the data you need in clean, structured JSON format.

The API supports multiple input formats including JPEG, PNG, TIFF, BMP images, and multi-page PDF documents. For each document, the OCR engine identifies text regions, recognizes characters, and structures the extracted data into logical fields. For known document types (identity cards, financial statements, invoices), our AI automatically maps extracted text to predefined fields, eliminating the need for custom parsing logic.

Key capabilities include table extraction — accurately reading tabular data from bank statements, invoices, and financial documents with proper row and column alignment. Handwriting recognition handles handwritten notes, signatures, and form fill-ins that are common in Indian business documents. Multi-language processing handles documents that mix English text with regional languages, accurately recognizing and separating different scripts.

For high-volume document processing, our API supports batch operations where multiple documents can be submitted for processing simultaneously. Webhook notifications alert your system when processing is complete, enabling asynchronous workflow integration.

Document quality assessment is built into the API — it provides confidence scores for extracted text and flags areas where the image quality may affect accuracy. This helps businesses decide when to accept automated extraction versus requesting a clearer document from the customer.

digiverification 's OCR models are continuously trained on millions of Indian documents, ensuring that accuracy improves over time as new document formats and variations are encountered.