Hi 各位大大 我又上来请教大家了 目前想用python识别pdf档 做 key word 查寻 也就是 optical character recognition 昨天朋友说 pytesseract 只能识别图片 不能识别 pdf档 所以我先手动把其中一个pdf档 存成图档 当测试 写了一段code 成功的输出在 cmd里 目前在思考 能不能储存成text档(格式会跑掉吗?) 然後让程式读取资料夹内的下一个 pdf 档案 自行转成 图档後 再跑~~ 如果以上有可能的话 该怎麽写呢? 麻烦各位大大 谢谢^^" 以下放code: from PIL import Image import pytesseract import argparse import cv2 import os # construct the argument parse and parse the arguments ap = argparse.ArgumentParser() ap.add_argument("-i", "--image", required=True, help="path to input image to be OCR'd") ap.add_argument("-p", "--preprocess", type=str, default="thresh", help="type of preprocessing to be done") args = vars(ap.parse_args()) # load the example image and convert it to grayscale image = cv2.imread(args["image"]) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # check to see if we should apply thresholding to preprocess the # image if args["preprocess"] == "thresh": gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1] # make a check to see if median blurring should be done to remove # noise elif args["preprocess"] == "blur": gray = cv2.medianBlur(gray, 3) # write the grayscale image to disk as a temporary file so we can # apply OCR to it filename = "{}.png".format(os.getpid()) cv2.imwrite(filename, gray) # load the image as a PIL/Pillow image, apply OCR, and then delete # the temporary file text = pytesseract.image_to_string(Image.open(filename)) os.remove(filename) print(text) # show the output images cv2.imshow("Image", image) cv2.imshow("Output", gray) cv2.waitKey(0) --

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