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From document to data record – intelligent & automated

Document Data Extractor

AI-based data extraction from PDFs, scans, photos and more – context-driven instead of rule-based, with human in the loop, as a cloud API or on premises.

Key features

Context instead of rules

Classic OCR fails on layout. Our AI understands the content and finds the total – no matter where it appears on the document.

Format and language agnostic

English, German or Chinese, PDF, JPG or Word – every input becomes a uniform, validated JSON format.

Cloud or on premises

A highly scalable cloud API or deployment as a Docker container in your own data centre.

Human in the loop

Your team reviews uncertain cases in a web portal – for guaranteed data quality on critical data.

Why template-based OCR is a thing of the past

Conventional OCR software works like a rigid stencil: you define coordinates, and as soon as a layout shifts, the process fails. The Data Extractor uses large language models to understand documents semantically – just like a human. It does not look for pixel positions, it looks for meaning.

Example: Instead of maintaining 50 templates for 50 suppliers that break with every layout change, the AI recognises the “amount due” in the top right for supplier A and the “grand total” in the bottom left for supplier B – without predefined rules.

How extraction works

  1. A document comes in

    Via REST API from your software or workflow – as a PDF, scan, photo or Word file.

  2. The AI reads the content

    The model understands the document and fills exactly the fields you defined in your JSON schema.

  3. Automatic validation

    Every result is checked against your schema – missing required fields or wrong formats stand out immediately.

  4. Human in the loop

    Your team reviews uncertain cases in the validation portal before the data moves on.

  5. Handover to your systems

    The validated data reaches ERP, CRM or legacy systems as JSON – automated via Frends if you wish.

One model for every channel

Crumpled phone photos, low-contrast scans, digital PDFs or handwritten notes: the engine recognises text even under difficult conditions and understands several languages without retraining.

Travel expenses example: a French fuel receipt (JPG) yields the “Montant total”, a German hotel invoice (PDF) the “Gesamtbetrag” – both end up in the same field of your database.

Where the Data Extractor takes work off your hands

  • Incoming invoices – invoice data from any number of suppliers, without a template per layout.
  • Travel expenses and receipts – fuel receipts, hotel invoices and receipts from different countries, cleanly in the same data field.
  • Orders and delivery notes – data that used to be typed in by hand goes straight into your system as a record.
  • Forms and notes – handwritten documents are processed, too.

Maximum flexibility for your compliance

Data protection is not one-size-fits-all. Use the cloud API for instant scalability – ideal for e-commerce with peak loads such as Black Friday – or run the solution on premises as a Docker container, for example in banking or healthcare. The AI then runs isolated in your own infrastructure, and no sensitive data leaves your network.

Licensing

Model For whom Price
API only High-volume use cases with direct REST API and pay-per-page billing from €0.10 per page
Hybrid quality Critical data – the AI extracts, your team reviews in the validation portal from €100 per month
Enterprise end-to-end Integration into ERP, CRM or legacy systems, custom workflows with Frends, optionally on premises on request

All models include the human-in-the-loop workflow. Hybrid quality and Enterprise also come with the validation portal; the Enterprise model adds full system integration, custom workflows with Frends and, if required, on-premises operation.

Frequently asked questions

Your question is not listed? Get in touch directly: Contact

How does the Data Extractor differ from classic OCR?

Classic OCR works with templates. Positions are defined for each layout, and every layout change breaks the process. The Data Extractor uses large language models and understands the content – it finds the grand total wherever it is and whatever it is called.

Do we have to create templates for every supplier?

No. You define once, as a JSON schema, which fields you need. The AI recognises these fields in any layout, including new suppliers or changed documents.

Which formats and languages are supported?

PDF, images such as JPG and Word files – including scans, phone photos and handwritten notes. The engine understands several languages, such as German, English, French or Chinese, without retraining.

In which format do we receive the data?

As uniform JSON based on your schema. Every result is automatically validated against the schema before it is passed on to your systems.

What happens if the AI is not sure?

That is where human in the loop comes in. Your team reviews uncertain cases before the data moves on – directly in the validation portal with the Hybrid quality and Enterprise models.

Can the Data Extractor run on premises?

Yes. Besides the cloud API, the Data Extractor is available as a Docker container for your own data centre. The AI then runs isolated in your infrastructure, and no sensitive data leaves your network.

How is the Data Extractor connected to ERP or CRM?

Via the REST API it can be integrated directly into your software. In the Enterprise model, we integrate extraction fully into your ERP, CRM or legacy systems – with custom workflows on the Frends integration platform.

How much does the Data Extractor cost?

API only starts at €0.10 per page, Hybrid quality with the validation portal at €100 per month. Enterprise solutions with system integration are priced individually.

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Let’s talk about your plans.

Whether it is a first idea, a running project or an existing system landscape: we listen, put things into context and show you concrete next steps.

Your contacts: Christian, Tobias and Michael – the founders of AmberTech Solutions.