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Optical Character Recognition
Transform documents into data seamlessly
Overview
Optical Character Recognition (OCR) solution transforms how businesses handle documents by extracting structured text from scanned files and images across India’s diverse languages (video support available via frame extraction workflows if required). Powered by advanced AI, it delivers fast, accurate, and context-aware data extraction, making it ideal for digitising forms, automating financial and healthcare processes, streamlining logistics, and enabling smarter retail operations, all tailored for real-world Indian workflows.
Pricing
To know more about the SKUs and pricing click below.
Core Features at a Glance
Printed Text Recognition
Supports OCR for printed content in major Indian and global languages (15+ supported where script coverage is available).
Handwriting Recognition
Supports semi-structured input such as names, numbers, and short fields in Indic scripts, rather than full free-form handwriting.
Multi-language Detection
Automatically detects and processes bilingual or multilingual documents.
Layout & Table Parsing
Maintains the structure of tables, checkboxes, and multi-column layouts.
Named Entity Extraction
Identifies entities like names, dates, IDs, and monetary values post-OCR.
Custom Vocabulary Support
Allows domain-specific terms and abbreviations to be prioritised.
Noise & Low-Quality Image Handling
Performance enhanced for noisy scans and mobile-captured documents compared to generic OCR engines; results may vary based on input quality.
API + Batch Pipeline Support
Can be integrated via API or used for batch processing large datasets.
What You Get
Still have questions?
Which languages does the OCR engine support?
It supports over 15 Indian regional and global languages, including English, Hindi, Tamil, Telugu, Bengali, Marathi, and Kannada, with context-aware parsing for major use cases.
Can the OCR engine recognise handwriting?
Yes, the handwriting module can recognize commonly used styles in regional scripts for semi-structured formats such as forms and short notes, but not free-flowing cursive text.
How does the engine handle poor-quality images or scanned documents?
The OCR pipeline includes preprocessing steps like denoising, skew correction, and contrast adjustment to enhance readability.
Can I extract structured fields like “Name”, “DOB”, and “Address”?
Yes, the system includes post-OCR parsing and entity extraction to
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