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Thanks to the power of AI and OCR you can extract text from various file formats. That process can be automatized even further using code. Let's learn how to convert image to text using python.
Artificial intelligence is becoming a huge part of many business processes. To keep up, you should start with optimizing accounts payable processes for the AI era.
Artificial intelligence made us see how much workload it can take from us. Here you will see how to use AI for extracting structured data from invoices.
It's already clear that AI can significantly improve document processing in your company. But do you know how invoice information extraction using OCR and deep learning actually works?
Automated workflows for invoices can streamline all the steps in AP processes. If you are still dealing with manual processing, it's time you join the AI automation wagon and get all the benefits of it.
OCR invoice processing is essential when it comes to an effective AP routine. It has transformed the workflow of financial departments worldwide, and is one of the keys to successful AP automation.
Batch invoice processing is a method that is used to process multiple invoices at the same time. Batches may include hundreds, if not thousands of invoices, or they can consist of just five or ten. It all depends on your business.
There's a reason why we created another invoice scanning software tool on the market. We tested the others, liked them, but thought - this can actually be better. So, we made Affinda's invoice extractor.
Invoice processing is a completely different beast than it was ten years ago, and today's solutions are powered by cutting-edge neural networks and intense machine learning. Here's why it matters.
Technology to extract data from the scanned invoices-- or from invoices you've been emailed-- has seen vast improvements in recent years. Template based approaches are a thing of the past. Let's dive into what a modern data extraction system should look like.