How to extract text from any image with Deep Learning
Update: check out Hydra AI: Accurately extract text from any image
Extracting text from images is a task called Optical Character Recognition (OCR).
More technically:
It is the conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast).
How is OCR different from a scanner? A scanner merely copies the paper as an image file, so you cannot copy and paste from the document. OCR translates a document into an editable format.
Guess what? You can definitely perform OCR with Python and just a bunch of lines of code!
We’re going to use the EasyOCR package.
EasyOCR overview
EasyOCR is implemented using Python and PyTorch. If you have a CUDA-capable GPU, the underlying PyTorch can speed up your text detection and OCR speed, a lot!
As of now, the library supports 80+ languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari…
