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Document recognition technology
Automate the process of extracting data from scans and photos using OCR document recognition technology. Speed up your document workflow
What documents does the Anarta Platform recognize?
The OCR service (Optical Character Recognition) for document recognition, included in the platform, allows recognition of both structured and unstructured documents
HR and Legal Documents
Employment contracts, salary certificates, sick leave certificates
Accounting Documents
Tax invoices, delivery notes, account statements, POS receipts
Specialized Documents
QR, Aztec and GS1 DataMatrix codes
Identity Documents
UAE and foreign passports, Emirates ID cards, UAE driving licences, MRZs
Business automation scenarios
using document recognition
The recognition system combined with LLMs in the Anarta platform is not only a tool for converting paper documents into digital format, but also a solid foundation for building efficient business processes in your company
SCENARIO #1
Smart conversational agents
In customer service, OCR technology combined with LLMs helps automate recognition, routing, data extraction, and the processing of requests, correspondence, contracts, and other documents, converting them into a structured knowledge base for more advanced conversational bots. This reduces the workload on operators and improves the speed and quality of interactions with customers and counterparties
SCENARIO #2
Effective resource planning
In financial processes, OCR combined with generative AI makes it possible to automate invoice processing: quickly recognize data from payment documents, extract key details, and transfer them to accounting systems for further reconciliation and routing.
This approach not only reduces the amount of manual data entry, but also improves document processing quality through more accurate data extraction.
Thanks to accumulated digitized data, generative AI can also help identify recurring errors, typical reasons for deviations, and process bottlenecks. This makes it possible not only to process documents faster, but also to plan resources and costs more effectively
This approach not only reduces the amount of manual data entry, but also improves document processing quality through more accurate data extraction.
Thanks to accumulated digitized data, generative AI can also help identify recurring errors, typical reasons for deviations, and process bottlenecks. This makes it possible not only to process documents faster, but also to plan resources and costs more effectively
SCENARIO #3
Digital accountant for routine automation
OCR in accounting can automate data entry into accounting and ERP systems, the preparation of management summaries, and the analysis of tax invoices, purchase orders, delivery notes, goods received notes, and other supporting documents through fast and accurate document recognition.
Once the data has been digitised, a trained generative AI model can help identify patterns such as seasonal spending trends, recurring reasons for document rejection or approval delays, and operational bottlenecks. This enables businesses not only to record transactions more efficiently, but also to improve workload planning, cost forecasting, and overall financial control.
Once the data has been digitised, a trained generative AI model can help identify patterns such as seasonal spending trends, recurring reasons for document rejection or approval delays, and operational bottlenecks. This enables businesses not only to record transactions more efficiently, but also to improve workload planning, cost forecasting, and overall financial control.
Integration into your IT landscape
The Anarta platform seamlessly fits into your IT landscape, integrating with existing systems and providing a single interface with centralized access for any AI models
Secure OCR recognition
of confidential documents
For working with sensitive information, such as identity documents, the platform can operate within your closed environment, ensuring that data is not shared with third parties
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On-Premise
Ability to install the solution within the client’s closed environment without internet access -
Compliance with Federal Decree-Law No. 45 of 2021 Concerning the Protection of Personal Data
Data is not stored on servers after document recognition and processing -
Architecture
Use of different recognition engines for complex document scans
Choose the right solution
The most suitable option is determined based on your requirements for confidentiality, performance, budget, and internal business regulations
Frequently asked questions
Answers to the most common questions
about document recognition technology
about document recognition technology
OCR is a technology that recognizes text in scans, photos, and PDFs without a text layer. After recognition, the document becomes available for search, copying, and automated processing
Yes, it can, as long as the text in the photo is clear enough and easy to read. Recognition quality depends on lighting, sharpness, shooting angle, and whether the document is wrinkled or cropped
Anarta reads data from scans and photos and, thanks to ready-made connectors, automatically transfers it into the 1C database. This helps reduce manual data entry and speed up the processing of primary documents
