Library Futures Academy, an open-source retrieval-augmented generation (RAG) pipeline is being developed using historic newspapers held in the archives. This combined with optical character ...

The Last Caretaker data logs OCR This is just a fun project, to be able to analyze all data log entries from the game The Last Caretaker, and chat about it with an LLM. At first, I wasn't really ...

What if your AI could not only read text but also reimagine it? Traditional Optical Character Recognition (OCR) systems have long been the backbone of digitizing text, yet they often hit a wall when ...

In digital office work, paper documents still play an important role. Yet at the same time, we increasingly need to convert them into electronic versions for archiving, sharing, or editing. Whether ...

To try out the Snipping Tool and Text actions, search for it on the Windows Taskbar, open it, click New, and select a portion of text. The Snipping Tool has the ability to quickly take screenshots of ...

Abstract: Optical character recognition (OCR) in industrial environments often struggles with degraded text, such as handwriting or text obscured by complex backgrounds. Traditional methods address ...

A new optical character recognition technology for scanning documents in challenging environments has been developed by OCR Studio to support enterprise-grade scanning in industrial settings. The new ...

What if the future of document processing wasn’t just about speed or accuracy, but about achieving both on devices as small as a smartphone? Enter NanoNets OCR Small, a new optical character ...

When we began to develop training courses for the Digital Humanities Core, we focused on the processes required to create sustainable digital scholarship. We spent less time on the tools and ...

We are pleased to introduce EasyDeepOCR, a deep learning-based Optical Character Recognition (OCR) library designed to meet the challenges of text reading in industrial applications. With EasyDeepOCR, ...