Nobody retypes document data by hand.

Software reads PDFs, e-mails, and spreadsheets, extracts the data, and puts it in one structure. Where it is unsure, it flags the field for review. A person makes the decision.

Discuss an initial assessment

Does this sound familiar?

These four sentences come up most often. If they fit you, you are on the right page.

"We retype it into Excel."

Figures from PDFs, e-mails, and spreadsheets, with every supplier using a different format.

"Nobody knows where it is."

The information exists, but it sits in one document out of a thousand.

"It waits for one person."

Only the person who has done it for years can do it. When they are ill, the work stops.

"We cope, but not with twice as much."

Volume grows faster than the team, and the manual process no longer holds.

Proven in production at a chemical raw materials distributor

100%

document-type detection

97%+

mandatory fields correct

~40 s

p95 time per document

One document. Data everywhere.

One receipt becomes accurate fields, Excel rows and an expense document for accounting. Start the demo and watch the data appear step by step.

Sample receipt from POTRAVINY NA ROHU with purchased items, a VAT breakdown and card payment.

FieldValue

Store
Company ID
VAT ID
Receipt number
Date
Time
Total
VAT 12 % base
VAT 12 % tax
VAT 21 % base
VAT 21 % tax
Payment method
Card

Now the same thing by hand

The receipt is printed and flat. This is paper someone filled in with a pen, put on a table and photographed. The crosses run over the edges, the handwriting does as it pleases and the photo is askew. This is what people actually bring us.

A satisfaction survey filled in by hand and photographed on a table. Two pages. (1/2)

A satisfaction survey filled in by hand and photographed on a table. Two pages. (2/2)

FieldValue

Form number
Course
Date held
Trainer
Content matched the invitation
The trainer was clear
The pace suited me
The exercises were useful
Venue and refreshments
Average rating
What helped most
What to do differently
Would recommend to a colleague
Interested in a follow-up course
Name
E-mail
Date signed

What changes after launch

Software takes over reading and retyping. A person still decides where the result needs review.

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. You can fix unclear fields on the page, and the system records each change.

Output goes into your system

Approved data goes into your Excel template, CRM, ERP, 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.

How we get it into production

Each step proves the result before we widen the scope.

First, we measure your documents
We take a sample and measure how many documents the software gets right. The result shows what is worth building.
We build a narrow first version
We start with one document type and one output. You see the result before we add more cases.
We connect and harden it
We connect your CRM, ERP, database, or spreadsheet template. Then we add checks, error handling, and measurement for normal traffic and peaks.
We add what proves useful
We add more document types and outputs according to production results, not the original wish list.

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. 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.

Decide with evidence from your documents

We start with an assessment of your own documents. We measure what the current process costs you and define what software should take over and what stays with a person. Scope and price follow from what we find.

What you will have

The result gives you the facts needed to decide on the implementation.

A test on your own documents, not our website example.
A reviewed document set for repeatable automated tests.
A defined implementation scope and fixed price.
A measured baseline to compare with production after launch.

Got documents someone retypes by hand?

Show us a few typical documents. We will tell you what can be extracted and how to prove the value with your data.