Are you concerned about the high administrative costs associated with manually rekeying data from documents, validating, checking, approving and processing it slowly? Try it another way, digitally. Document digitization and automated data mining eliminate manual data entry and accelerate document routing across the organization.
50-80% of operating costs associated with document processing
processes associated with documents in the order of multiples
and inefficiency of manual processing
digitization, mining, validation and checks associated with documents
All professions of the company's life cycle are necessary for success, nothing should be neglected. Details are important. Details set you apart. Detail wins. Personally, I stick to a few rules: If you want to do something, do it. Always go further and do more. Distinguish yourself. If there is a queue somewhere, create your own.
We implement solutions for digitization, data capturing (OpenText software, KOFAX, original ReadSoft platforms) with a unique degree of automation of mining, validation and checks thanks to unique AI algorithms, machine learning and native connection to ERP, such as SAP. It can be an “all in one” solution or specialized OCR solutions (supplier invoices, orders, HR materials, documents, forms, etc.), or solutions for intelligent electronic input forms for data collection, validation and automated processing.
An alternative is the IXTENT’s turnkey document digitization service. If you do not want to build your own digitization workplace, you can alternatively utilize our turn-key IXTENT document digitization service: a comprehensive service (transport, storage, digitization, machine mining, storage, monitoring and shredding of documents).
Supply of scanners with the best price / performance ratio on the market, including scanning programs.
Document digitization is the conversion of both paper and electronic documents into a structured format that can be processed within enterprise systems and business processes. Scanning a document alone is not sufficient — what matters is how the extracted data is handled. The end-to-end process includes document intake, recognition, data extraction, validation, and transfer to downstream systems.
Document data extraction converts document content into a structured format — OCR functions as the input layer that makes data accessible for further processing. OCR itself does not determine whether the data is correct or how it should be used. The outcome depends on validation and the transfer of data into ERP or DMS workflows.
Automated document processing works by having the system receive a document, recognize its type, extract the relevant data, and transfer it to the next process stage — without manual intervention. The most common use cases include invoice processing, purchase order handling, and HR document management, with direct integration into SAP and other ERP systems.
Scanning converts a document into an image file — the result is a digital copy, but the data it contains is not machine-readable or usable within enterprise systems. Data extraction goes further: it automatically identifies and pulls specific values such as invoice number, date, or amount, and passes them to the next process stage. Without data extraction, digitization simply relocates manual work rather than eliminating it.
Electronic document routing is the controlled movement of documents between individuals and systems — from intake through approval to archiving — without paper or manual forwarding. It gives the organization real-time visibility into the status of every document, reduces process lead times, and lowers error rates. It naturally extends electronic document management as a broader platform.
