See our Top 10 features for HITL interfaces. What good does it do, if t a human reviews results of AI, when the user interface is “inhumane”?
Category Archives: Data Extraction
Capture Automation software typically deals with 3 kinds of documents: Structured: These are forms with a fixed layout and boxes or underlines where someone fills in the data with a…
Classification, Data Extraction, Machine Learning
Is AI in Data Capture real? or: Are templates really a bad thing?
Many Capture and RPA vendors claim that they use AI and Machine Learning in their software. Back in the days, everything was “templates” and regular expressions, words that still create…
Classification, Data Extraction, Machine Learning, OCR
How Language Detection can help your document automation process
Language plays an important role in document classification and data extraction. It also matters in downstream processing and when the humans come into the loop. A document is written in…
OCR use cases and flavors Before we dive into the details, let me explain what you can expect from this post. One of many core technologies for document-driven automation is…
Our new AP Automation software My accounting department bought a new software for AP Automation and data capture for invoices. I hear it is pretty good getting data off scanned…
What is Named Entity Recognition? Named Entity Extraction (NER) is a subset of Natural Language Processing (NLP). A named entity is a categorized real-world object, such as a person, place,…
What is Microsoft Form Recognizer? And what is it not? Form Recognizer is a Microsoft Azure web service that can read documents and extract information from them. While it comes…
A plea against the term “OCR software” If you are a buyer in a company looking for automation software, you will come across “OCR” eventually. Analysts recommend looking for “OCR…
