New closed-source specialist OCR model by Mistral - you can feed it images or a PDF and it produces Markdown with optional embedded images. It's available [via their API](https://docs.mistral.ai/api/#tag/ocr), or …
Countless digital documents hold valuable info, and the AI industry is attempting to set it free.
In the present digital world, converting images of text into editable text, a process known as Optical Character Recognition (OCR), is a common task. However, many people struggle with complicated code to make OCR work for researchers and developers, making what should be a straightforward task much more challenging. There are already some tools and packages available aimed at simplifying OCR tasks. However, these solutions often focus mainly on the inference part of OCR, leaving users to handle other essential tasks like managing image files, parsing results, and integrating with different OCR models independently. This fragmented approach can make the
How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop. - RajSolai/TextSnatcher
OCR (Optical Character Recognition) tools are software that can identify text, handwriting, and printed characters in images and PDF files. These tools
Cape has recently deployed a confidential optical character recognition (OCR) service. Anyone can try...
Use the recently-released Transformers model to generate JSON representations of your document data
Every company is searching for a competitive advantage when conducting their business processes,...
Introduction Hello! In this quick tutorial I will show how to create a simple program...
This is a cross-post from my blog Arcadian.Cloud, go there to see the original post. I have some...
Comparison of two known engines for optical character recognition (OCR) and Naturtal Language Processing
Your first step towards reading text from unstructured data
Convert images to a string with Google Tesseract and then into a static HTML site using python
Dive deep into OCR with Tesseract, including Pytesseract integration, training with custom data, limitations, and comparisons with enterprise solutions.
China’s mobile payment ecosystem, the largest in the world, is built upon QR codes. But that technology extends far beyond shopping to ease friction throughout daily life. On a recent trip to China, I personally interacted with QR codes 42 times in a single day—to ride the train, to book a workout, to charge my...