From statements to structure.

Financial document AI.

Bring bank statements and financial documents into a consistent, usable format.

Built around
your actual inputs.

Financial documents vary by bank, layout and scan quality. We build extraction systems that map supported formats into a common structure, with a review process matched to your use case. Our statement project combines PaddleOCR and language models with configurable bank layouts and a visual dashboard.

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Financial document AI concept illustration
Concept illustration · each implementation is scoped to your project.

The workflow

From input to the next step.

  1. 01

    Map your formats

    Review the banks, layouts and sample quality involved in your workflow.

  2. 02

    Structure the data

    Extract transaction rows and agreed account information into consistent fields.

  3. 03

    Review and deliver

    Make the results available through a dashboard, files or an agreed integration.

Possible building blocks

What we can
build together.

We agree the scope, evaluation criteria and deployment needs before implementation.

  • Transaction tables
  • JSON, CSV and Excel
  • Visual data dashboards
  • Project-specific on-premises deployment

Relevant work

See the approach in context.

Invoices into editable data — project visual

Finance / Document AI

Invoices into editable data

A desktop invoice extraction tool with bulk processing, an editable table and CSV export.

A practical place to start

What could your
next workflow look like?

Bring us the process. We’ll help you explore the possibilities.

Discuss your project