Fast & accurate
invoice parsing
with deep learning

Build your own deep learning model for invoice parsing in
record time - no machine learning experience required.

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Get started fast
Train your first invoice model with as little as 20 invoices, or take immediate advantage of years of historical data.
Developer friendly API
REST API and SDKs that are easy to implement in your software.
Real-time processing
Invoices are processed in real-time with an average processing time below 2 seconds.
Smooth feedback loops
Improve your invoice model over time with feedback loops that don’t interrupt your workflow.
WHAT YOU GET

High accuracy data extraction API tailored to your invoices

Train your own machine learning model that extracts the information you need.
Input
Image file in PDF, JPEG, PNG or TIFF format.
Output
Structured data  in JSON format.
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"predictions": [
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{
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  "label" "invoice_number",
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  "value" "INV-101",
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  "confidence" 0.9971531
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}, {
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  "label" "total_amount",
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  "value" "249.000.00",
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  "confidence" 0.9964164
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},
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...
HOW IT WORKS

All-in-one platform

Create your own machine learning models quickly with an easy-to-use platform.
Technology

Automating manual invoice data entry

IT and economics service provider, ECIT Labs are using Cradl to train their own invoice parsing model.
"Our devs use Cradl to build and deploy high accuracy ML models for our document workflow platform. The models we've trained with Cradl are far more accurate than anything else we have seen on the market!"
Andreas Viljugrein

COO @ ECIT Labs

Start building today

Get started for free, or request a demo to discuss your project.
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