Automatic Invoice Recognition save your money fast

Invoice Recognition, accessible for every organization

With Machine Learning and Artificial Intelligence, automated invoice processing has changed completely. The old way of extracting data with complex programming code has transformed dramatically. Traditional template-based invoice processing with keywords has been replaced by new technology. Machine Learning invoice recognition is now the standard.

Training a Machine Learning model for invoice automation is relatively simple. By feeding enough different invoice formats to specially selected algorithms, you get faster, cheaper and most importantly more accurate results. EasyData offers complete solutions. We can also automate your specific invoice data extraction that currently doesn’t work or is difficult to automate.

Invoice Correction

EasyData developers constantly work on optimizing recognition technology. Years ago, we started using self-learning technology to improve standard recognition. Today, we’ve completely moved away from traditional document recognition models to full ML & AI invoice reading technology. This gives you a clear advantage when correcting invoices.

Invoice recognition, it’s still relevant?

For any organization that doesn’t want to fall behind, automatic invoice processing is no longer optional. We see it as fundamental for effective business operations. Your competitors are already using this cost-saving efficiency boost – why hold back?

Digital Invoice recognition

You might see document processing and modern digital invoices as an internal culture change, but it doesn’t have to be. We’ll skip the organizational change discussion here. The days of manually entering invoice data are truly behind us, thanks to ML and AI making document processing more accessible than ever.

Automated Invoice recognition

Every accounting package has import functionality, often for UBL XML files. Invoice reading and export to an usable format doesn’t need to be complicated. Recognize invoices online, import the data, and eliminate manual entry errors.

This is today’s standard. EasyData’s invoice recognition technology automatically identifies key invoice data: from vendor to invoice number, date to amount. The basics of automated invoice processing extracts all data in a format you know, try it yourself!

Be smart without OCR

OCR-based invoice reading is outdated. 95% of invoices you receive are what we call “Digital Born”. The PDF already contains all invoice data in digital text format. It makes no sense to convert such invoices back to images just to extract text via OCR.

EasyData skips this step. We use the digital information already present in the invoice, practically eliminating recognition errors.

The History of template-based recognition

20 years ago, automated invoice processing relied on large recognition zones (usually the top of the invoice) where “regular expressions” detected the vendor. Complex code then extracted other relevant information.

This worked until vendors changed their layout, making the whole template useless. This method required constant monitoring and maintenance.

The Evolution of Invoice Recognition

About 10 years ago, “unstructured document recognition” emerged. This method reads the entire invoice and uses found text to locate data. For example, finding “Invoice number” means the actual number is likely nearby. While more reliable, most vendors charge heavily for these development environments.

Machine Learning Changes Everything

Today’s automated invoice processing is different thanks to Big Tech companies releasing smart open-source algorithms like TensorFlow. While we chose a different ML network based on our expertise, these developments enable specialists like EasyData to create effective, affordable solutions.