Someone spends a full day retyping data from supplier PDFs into Excel.
Document AI
Document data without manual retyping
The application extracts fields from invoices, certificates, or contracts and saves them in one structure. It shows unclear fields to a person for review.
Book a consultationWhere errors and delays begin
Every manufacturer sends a different format and language - English, Chinese, Polish.
A 30-item quote can take days to put together.
Typos from manual retyping end up in the quote you send the customer.
What you get
Structured data, not pictures
The model returns data in one structure. It can handle several document types, languages, and page layouts.
A human has the final say
A review screen shows the PDF next to the extracted data. It marks unclear fields, lets you fix them on the page, and records each change.
Export to your own template
Approved data goes into your Excel template or another system. You do not need to copy it again.
Your data stays in the EU
The model runs on AWS Bedrock in Frankfurt, with the database in the EU. Your documents never leave the European region.
Proven in production at a chemical distributor
100%
document-type detection
97%+
mandatory fields correct
~40s
p95 time per document
How it works
1
Upload your documents
PDFs or scans of supplier certificates and specifications. The app processes many documents at once, across different languages.
2
AI extracts the data
The model detects the document type, maps fields into one shared schema, and scores its confidence on every field.
3
Approve and export
You check the highlighted low-confidence fields, fix them, and approve. Then export the finished data into your Excel template.
Frequently asked questions
How is this different from regular OCR?
OCR turns an image into text. A language model can also select the needed fields and put them into one structure. It handles several layouts and languages and marks fields with low confidence.
What if the model gets something wrong?
That is why a person reviews the result. Each field has a confidence score. The system marks unclear fields so you can correct them before use.
Where is our data stored?
The model runs on AWS Bedrock in the Frankfurt region, and the database sits in the EU with row-level access control. Your documents stay in the European region.
Does it handle different languages and formats?
Yes. We tested the extraction on documents in English, Chinese, and Polish with different layouts. We test each new type on your samples first.
How long does it take to build?
We start with your documents and one output type. A narrow first version can take a few weeks. We add more document types after testing.
Got a stack of PDFs someone retypes by hand?
Show us a few typical documents. On a consultation we will tell you what can be extracted and how it would work for your team.
Book a consultation