Hi 各位大大 我又上來請教大家了 目前想用python識別pdf檔 做 key word 查尋 也就是 optical character recognition 昨天朋友說 pytesseract 只能識別圖片 不能識別 pdf檔 所以我先手動把其中一個pdf檔 存成圖檔 當測試 寫了一段code 成功的輸出在 cmd裡 目前在思考 能不能儲存成text檔(格式會跑掉嗎?) 然後讓程式讀取資料夾內的下一個 pdf 檔案 自行轉成 圖檔後 再跑~~ 如果以上有可能的話 該怎麼寫呢? 麻煩各位大大 謝謝^^" 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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