The article compares six AI OCR tools: AWS Textract, Microsoft Azure Document Intelligence, Google Cloud Document AI, Rossum.ai, Super.ai and Eden.ai. It then does a deep comparison between Azure and Google, the two leading choices, in several aspects: initial setup, auto labelling data, text detection and recognition, custom labelling, auto-label accuracy, auto-label result verification, data training speed, data regions and compliance. The article concludes that Azure is the better choice.

A few weeks ago I soft launched an MVP - you are looking at it right now. In this post I'll talk about the features, the tech stack and the globally distributed infrastructure behind building this MVP, and of course, with a sprinkle of learnings too. The "MVP" Deciding what makes up an "MVP" is always interesting - I've heard some saying if the product isn't embarrassing you're releasing it too late, and also if the product is embarrassing, you're not gonna make it. For me, I've always had th...