![image text extractor python image text extractor python](https://i.stack.imgur.com/LCtdM.png)
# if the pixel isn't white, set it to blackĪgain, this is an extreme approach. Yes you heard right, to extract text from image with python is pretty easy. if you happen to be among those that asked, Here comes the Calvary: Python is the answer. Pixels = img.load() # create the pixel mapįor i in range(img.size): # for every col:įor j in range(img.size): # For every row To extract text from image with python is pretty easy: For some good reason one might want to extract texts from images, but the question is usually: how do I do that, well. # The extreme approach, keeping only white pixels Python-tesseract is an optical character recognition (OCR) tool for python. This would work since your text is always white, although any purely white areas of the background would be saved, so hopefully pytesseract can handle that. To extract text from image I am going to use Python based library pytesseract. You will need following packsges: For computer vision: numpy cv2 imutils skimage For Text Extraction. To clone the repository to local machine, use git clone. If that doesn't work, the most extreme approach would be to iterate over all the pixels in the image, test if they are white, and if they aren't, set them to black. This project takes up a directory of jpg files and applies computer vision to them to extract text from the images. There's a million different filters that you could apply with PIL. Since you pointed out that this approach doesn't work, I would try to use PIL to get it to be as black and white as possible. Using PIL, you can simply call img.convert("1") to convert PIL Images to a black and white version.
![image text extractor python image text extractor python](https://i.ytimg.com/vi/tRoBacTP01Y/maxresdefault.jpg)
As pointed out, some further image manipulation might be necessary.