Document Recognition and Classification in a Private Environment
Contents
Incoming correspondence, scan archives, contracts, acceptance certificates, technical reports. Many organizations still process them manually: reading, identifying document types, extracting key fields, and sorting them into folders. AI recognition and classification take over most of this work.
What the system can do
- recognizes text in scans and photos, including tables;
- determines the document type: contract, acceptance certificate, letter, invoice, report;
- extracts key details: numbers, dates, parties, amounts, deadlines;
- suggests routing: which department or assignee;
- verifies the completeness of the document package;
- transfers data to a document management or accounting system.
Why in an isolated environment
Documents contain personal data, trade secrets, and confidential information. Sending them to external recognition services is prohibited or risky. Modern recognition and data extraction models can be deployed on your own servers or in a cloud in Kazakhstan.
Where it helps
- office administration and incoming correspondence;
- archives that need to be digitized with search capabilities;
- accounting and source document processing;
- legal department and contracts;
- technical departments and equipment data sheets;
- research institutes and report archives.
Frequently asked questions
Does it work with handwritten text?
Partially: quality depends heavily on handwriting. Results are significantly better for printed documents.
What about documents in Kazakh and Russian?
The recognition models support both languages, and quality is verified on your documents.
Can it be connected to 1C or a document management system?
Yes, extracted data is transferred to the required system in an agreed format.
