Saral – Powered by Tekdi

About Saral

Saral, built by Tekdi and available through Intuz’s stack catalog, solves a specific and often underestimated problem: getting information trapped on paper into a usable digital system. Rather than manual data entry, the platform uses optical character recognition and an AI/ML model to extract structured data from printed sheets, handwritten digits, and OMR answer forms, then feeds that data into a digital backend ready for analysis.

Built on Sunbird Building Blocks, the same foundation used in large-scale public sector digitization projects, Saral is designed for organizations that need to digitize physical records at volume rather than one document at a time. The AMI packages Saral with NGINX and MongoDB pre-installed on Amazon EC2, so the OCR pipeline and data storage layer are ready together rather than requiring separate provisioning.

Configurable branding is built in, which matters if you’re deploying this as a service for multiple departments or client organizations rather than a single internal tool, each deployment can carry its own visual identity without a custom build.

Because the underlying AI/ML model is specifically tuned for detecting handwritten digits and OMR-style answers, this fits use cases like digitizing exam sheets, survey forms, or structured paper records far more precisely than a generic OCR tool would, at the cost of being less suited to unstructured document types like contracts or free-form text.

If digitized data eventually needs to feed into broader analytics or reporting, take a look at custom AI development for how a pipeline like this one gets extended from data capture into actual decision-making.

Key Features of Saral Stack

• Saral v1.0 App supports configurable branding features.
• Saral App internally uses an AI/ML model to predict scanned layout ROIs(Region Of Interest). The current capability of this model is to detect handwritten digits and OMR answers.