Tech Core of AI Document Proccessing

From customer service to code generation and content marketing, learn how AI can enhance your business operations, its key strengths and current limitations through six practical AI applications in 2024.

Master image-to-text conversion in Python with our step-by-step guide. Learn to use Tesseract, OpenCV, and easyOCR for accurate OCR.

In a world where Artificial Intelligence (AI) is redefining industries across the board, procurement is no exception. In this guide, we will delve into the purchase order process, explore the challenges of manual data entry, and discuss how AI solutions, such as Affinda’s AI Purchase Order OCR data extractor, can be used for purchase order automation.

For some, optical character recognition (OCR) was the way of the future, but how has OCR changed throughout history, and what does the future hold? Let us take you through the evolution of OCR technology and hear from one of our AI experts, Andrew Bird.

Dive into the power of Transfer Learning in AI: A game-changer for efficient and adaptable machine learning across various fields.

Learn how to seamlessly integrate Affinda through Eden AI.

Digital transformation is key if you want to stay ahead of the competition, and machine learning OCR is an essential component of the process. What is machine learning OCR, and how does it work? Read on to find out!

Dealing with handwritten notes can be messy. Here's how to convert handwriting into text so you can organize that data as digital documents.

Here is a list of common tools that can convert PDF to Google Docs, as well as a better way to do it - using document processing AI.

When open source OCR tools appeared they were a game-changer for data analysis. But before you start using one, you should know their pros and cons.

Errors in document processing are a pain point for many businesses. Thankfully, technological advances are now able to help with many of them. Here are some common issues machine learning and OCR can solve.