![]() Nanonets extracts data from images accurately, at scale, and in multiple languages. An AI-driven OCR like Nanonets can pull text from images and present the extracted data in a neat, organized & structured manner. While such tools do a good job, the extracted text/data is often presented in an unstructured manner that results in a lot of post processing. ( What is OCR? - here's a detailed explainer on OCR) And online converters like Workbench or img2text also extract text from images with OCR. Tools like Snagit & OneNote among others, leverage basic OCR capabilities to extract text from images. Image to text converters, often in-built as a sub-feature in image/document processing programs, offer a neat way to extract text from images. Most people just retype the text/data from the image but this is both time-consuming and inefficient when you have a lot of images to deal with. ![]() ![]() Extracting text from an image can be a cumbersome process.
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