Can AI fix India’s land record problem? This startup believes so

India’s land records have long been trapped in fading registers, fragile documents, and handwritten files stored in government offices. For decades, verifying ownership often meant sifting through stacks of brittle paperwork, where faded ink and unclear handwriting could delay decisions and sometimes trigger disputes.

A Kolkata-based artificial intelligence startup now believes technology can help solve part of that problem. DocXplor, an AI-powered Intelligent Character Recognition (ICR/OCR) as well as RPA platform developed by Vixplor Analytics, is being used to digitise and analyse old land registration records. The system scans handwritten documents, converts them into structured digital data, and reconstructs ownership history from multiple records.

Why land records remain a challenge
Land ownership documentation in many parts of India evolved over decades through handwritten registers, deeds and official entries maintained manually.


In older systems, registration of property documents could happen without immediate verification of a seller’s ownership. The verification process often took place later during mutation, the stage when ownership changes are officially recorded in revenue records.

This layered process creates administrative delays and sometimes makes it difficult to trace the full history of a property. The biggest challenge has been reading old documents themselves.

Registers stored for decades often contain faded ink, damaged pages and handwriting styles that vary widely from one entry to another. Even experienced staff sometimes struggle to interpret certain words or numbers correctly.

Manual data entry teams traditionally spent hours reading and retyping these records into digital systems. The process was slow and prone to errors.

Bringing AI into the archive room
DocXplor’s platform attempts to solve this problem using artificial intelligence trained to interpret complex handwriting and document structures.

Instead of relying on manual transcription, the system scans old registers and uses AI-driven models to read the handwritten content. The extracted information is then converted into structured data that can be analysed and validated.

Founder Tapas Chakraborty says the idea behind the platform was to ensure that valuable historical records do not remain locked inside paper files.

“Our focus was to make sure legacy records can be digitised accurately so they remain usable for future systems,” he says.

West Bengal project focuses on ownership history
As per the company, the Finance Department of the Government of West Bengal has selected the platform for several tasks linked to land records.

These include digitising old registration documents and building digital “chain deeds”, which map the ownership lineage of a property across multiple transactions over time.

Such reconstruction of ownership history can help officials track how a property changed hands over decades.

According to Chakraborty, AI systems can link multiple documents together to create a clearer ownership trail, which could help reduce ambiguity in records.

Beyond land records
While land documentation is one major application, the technology is also being used in other sectors where paperwork dominates.

Hospitals, for instance, often process multiple forms during patient admissions, including prescriptions, identity documents and medical reports. Extracting information from these documents manually can delay administrative procedures.

Automated document processing systems can read and organise this data faster, potentially speeding up admission workflows.

Insurance companies are also exploring similar tools to manage large volumes of claims-related paperwork.

India’s push for digital governance has accelerated over the past decade, but much of the country’s historical data still sits in paper form.

Government offices across states hold millions of handwritten registers covering land ownership, court filings, municipal records and other administrative information.

Digitising this information accurately remains one of the biggest challenges in building modern digital public infrastructure.

Startups working on document intelligence believe artificial intelligence could play a key role in bridging that gap, not by replacing human verification, but by speeding up the process of reading and organising complex records.

Every handwritten register, Chakraborty says, carries someone’s identity, property details or legal history. Preserving those records digitally means ensuring that the information survives, and remains usable, in the years ahead.