DocumentExtract: AI solution for automatic document data extraction

Companies receive a huge volume of documents in various formats, from invoices arriving via email, through purchase orders, delivery notes, and physical forms, to contracts in Word or receipts photographed on a mobile phone. And even though most documents already arrive digitally, their processing is still often manual.

Data is manually re-entered into ERP systems, checked in emails, searched for in attachments, or validated by hand. This results in unnecessary errors, slow processes, and people who spend their time typing data instead of working with information. At the same time, the biggest problem is often not saving the document itself, but getting the correct data out of it quickly and reliably into other company systems and processes, regardless of its format or structure.

DocumentExtract by Aricoma is a universal AI solution for automatic document data extraction. It helps companies convert unstructured documents into structured data ready for further processing in ERP, DMS, workflow, or other business systems.

The entire concept is very simple. Documents are simply sent to a defined central email address. DocumentExtract then uses AI to automatically recognize the document's content, extract the required data, perform validation, and prepare it for export via API into downstream systems and processes.

The solution is designed to handle various extraction scenarios regardless of the document type or the scope of the required data. This allows companies to automate document processing without the need to build specialized applications for every single process.

At the same time, DocumentExtract offers an administrative interface for managing scenarios, validations, AI models, and operational metrics. This makes it easy to adapt the solution to new requirements and gradually expand it to include additional document types and processes.

One of the greatest advantages of the DocumentExtract solution is its versatility. The tool is not limited only to invoices or a single specific process. Using AI, it can extract data from various types of documents and prepare it for further company workflows.

DocumentExtract by Aricoma is designed to fit into various types of corporate architectures and security requirements. The solution can operate in a cloud environment, on the customer's on-premise infrastructure, or in a hybrid mode, depending on the specific needs of the organization.

A major advantage is also its flexibility in working with AI models. DocumentExtract is not strictly tied to just one specific LLM model or AI service provider. This allows companies to use different AI models based on their own preferences, security requirements, performance, or solution cost-efficiency.

At the same time, administrators can compare individual models using the same documents, evaluating output quality, extraction accuracy, and operational costs. This makes it possible to continuously optimize extraction scenarios according to specific processes and document types.

An important part of the solution is also the capability to run AI services locally within the customer's environment. Sensitive data therefore does not have to leave the corporate infrastructure, which is crucial, for example, for organizations with high demands on security, compliance, or data regulation.

Many companies still use traditional OCR technologies for document processing. These can read text from a document and convert it into a digital format. However, that is often where their capabilities end.

In practice, it is not enough to just "read" the document. Companies need to understand the meaning of individual data points, verify their correctness, and prepare the data for further processes in ERP, DMS, or workflow systems. This is exactly where the difference lies between traditional OCR and the AI approach on which DocumentExtract is built.

While traditional OCR recognizes text, DocumentExtract uses artificial intelligence to understand the context of the document and individual data. It can recognize which data represents, for example, a purchase order number, due date, supplier, amount, or specific line items of the document. Subsequently, it can validate the data according to defined rules and prepare it for further automated processing.

A major advantage is also the ability to work with various types of documents and different layouts without the need for complex templating or rigidly defined structures. This is crucial, for instance, for documents from different suppliers, partners, or documents sent from mobile devices.
DocumentExtract thus does not just help digitalize a document, but converts its content into structured and actionable data ready for real business processes.

The greatest benefit of document data extraction using artificial intelligence is not just in the automation of data entry itself. The true value arises the moment you can significantly speed up document handling, reduce manual interventions, and get data faster into downstream processes.

DocumentExtract helps you reduce the amount of manual labor in document processing, minimize error rates, and shorten the time needed to transfer data into ERP, DMS, or workflow systems. Employees thus do not have to spend time re-keying information from invoices, purchase orders, or forms and can focus on activities with higher added value.

A major advantage is also the possibility of gradually expanding automation across other documents and processes. You are not limited to just a single scenario; instead, you can apply the same principle to accounting documents, logistics, purchasing, HR, or customer processes, for example.

Thanks to the API approach and the ability to integrate into your existing architecture, DocumentExtract can simultaneously become part of a broader digital transformation of the company and a foundational layer for further automation and AI workflows.