Explanation and possibilities

Extracting information from documents

Information extraction converts text into fields or lines. Consider a description, amount, date or relationship name from a document.

How does it work in practice?

The recognition depends on the type of document and the quality of the source. We determine which fields are required and how uncertainties remain recognizable, so that doubtful cases are first checked.

Structuring fields and lines from documents
Save source information with the outcome
Make data available for follow-up work after checking

An example from our practice

PDF and Excel

De Valk Advies

Read budget PDFs, check recognized lines and export them to Excel.

View De Valk Advies

Immerse yourself further

Process PDFs and scans with OCR
Document processing makes text and data from PDFs usable. OCR helps when the text only appears as an image in a scan.
Using AI in a work process
AI can help read, organize or summarize text. The application is given a defined task, with control over the outcome.
Check data quality
Reporting and automation require actionable source data. Checks reveal missing, duplicate or anomalous data.

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Our approach

What you can expect from OptiCore.

Two people discuss a project at a table.

Clear communication

We make agreements easy to understand and keep you informed about progress, decisions and next steps.

Insights you can act on

We bring relevant figures together and explain what they mean, helping you decide where action is needed.

Less manual work

We look at which recurring steps could work smarter, with attention to checks, exceptions and the people using them.

Collaboration that grows with you

We start with a clearly defined step. Then we expand with purpose, based on what your business and workflow need.