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Instantly squeeze data from any document

Extract data from complex documents with human-level accuracy. We specialize in the hard stuff, like handwritten forms, multi-page tables and nested data so you don't have to.

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Easi
Sabena Engineering
Ethias
Das
Neutra
Acorus
Easi
Sabena Engineering
Ethias
Das
Neutra
Acorus

Easy as 1, 2, 3 (4)

How Skwiz works

Setting up document extraction has never been so simple.

poinvoice frenchdelivery note dutchID card german

1. Defining your document

Teach with examples

Upload two or three examples of the document you want to process. Skwiz analyzes the content and automatically suggests the (modifiable) fields and tables you need. And just like that, you’re ready to start processing.

2. Upload

Start the extraction

You can feed documents into Skwiz via API or drag & drop. We handle everything from clean PDFs to low-resolution scans. Skwiz is specifically optimized for complex data structures, ensuring that even the most difficult multi-page tables are captured with structural integrity.

upload
extraction

3. Auto-validation

Validate by exception

Every document runs through an automated validation layer that checks the output for confidence levels and compliance with your business logic. If the confidence is high and the data passes your rules, it moves through automatically. You only step in to review a document if the system flags an uncertainty.

4. Synchronize

Sync to your platform

Skwiz provides a seamless integration by providing structured, validated data instantly to your ERP, database, or custom application through webhooks, long polling or direct export from the web app.

export

Other features

And there's more

Exciting features to support your full document flow.

classification

Classification

Document type classification

Let Skwiz automatically detect the document type of all your incoming documents, e.g. ID card vs residence permit vs driver's license, or invoice vs receipt. 

Splitting

PDF splitting

Do you have big PDFs that contain multiple documents? Skwiz can automatically split these files into individual documents.

split

Object detection

Identify visual elements

Beyond text and tables, Skwiz can identify and extract visual elements. Whether you need to detect signatures, barcodes, official stamps, or specific logos to verify document authenticity, our models can be configured to find these objects automatically.

Discover Skwiz

Data security and compliance is our first priority.

GDPR compliant

Skwiz is fully GDPR compliant and stores data only for the time you need to verify and access it.

Your data does not leave the EU

Skwiz only works with technology partners that offer their services within the region.

Scalable

Skwiz is fully scalable, providing you with consistent response times and 99.99%+ uptime to support your operations.

Testimonials

Hear it from our clients

Das

We have successfully automated the treatment of incoming invoices with Skwiz. Our claim handlers now enjoy a significant boost in productivity, dedicating more of their time to what truly matters—our customers. I highly recommend partnering with Skwiz for any company looking for a powerful and easy-to-use IDP solution.

Xavier de Launois

Xavier de Launois

Chief Operating Officer
skwarel

While it used to take an accountant two to three minutes to enter an invoice, it now only takes 2 seconds.

Philippe Denis

Philippe Denis

Chief Executive Officer

Next generation of document processing

Beyond the “AI wrapper”

Many IDP tools are just generic wrappers around public LLMs. They are great at demos but fail in production because they hallucinate, require a lot of prompt tweaking to handle edge-cases, don’t allow visual validations, they lose track of document structure and require continuous maintenance. Skwiz is built on a specialized architecture that grounds AI predictions in the actual document text. Our Skwiz Core model combines visual understanding with strict structural logic to ensure your data is extracted exactly as it appears, without hallucinations and full transparency through confidence levels.

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Beyond the “AI wrapper”

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