importpytesseractfrom PILimportImageif__name__ =='__main__': text = pytesseract.image_to_string(Image.open("D:\\test.png"),lang="eng")print(text) 测试图片: 输出结果: 全栈集成 https://stackabuse.com/pytesseract-simple-python-optical-character-recognition/ Through Tesseract and the Python-T...
例如,Python API使用示例: from PIL import Image from autocrop import Cropper cropper = Cropper() cropped_array = cropper.crop('portrait.png') if cropped_array: cropped_image = Image.fromarray(cropped_array) cropped_image.save('cro 1. 2. 3. 4. 5. 6. 7. 8. autocrop :relieved: Automati...
re importshutil from PIL importImage import pytesseract import fitz PyMuPDF import docxdef sanitizefilename(name, max_length=50, max_words=5): """Sanitize filename by removing unwanted words and characters.""" # Remove extension if present name = os.pathsplitextname)[0] #...
fake-useragent Up-to-date simple useragent faker with real world database 21 uvloop Fast implementation of asyncio event loop on top of libuv 21 pytesseract Python-tesseract is a python wrapper for Google's Tesseract-OCR 21 pytest-mock Thin-wrapper around the mock package for easier use with ...
4、一段超简单的代码(默认识别英文) fromPILimportImageimportpytesseract im=Image.open("test.png")text=pytesseract.image_to_string(im)print(text) 5、中文识别,结果较差 首先要下载tesseract的中文包:chi_sim.traineddata https://github.com/tesseract-ocr/tessdata/blob/master/chi_sim.traineddata ...
注意:pdf必须是白色底,否则识别不出来。 其实就是根据pdf转为jpg再解析,真的是,就是从前面两篇提取结合,easy job! importio#多用了io库fromPILimportImageimportpytesseractfromwand.imageimportImageaswi pdf=wi(filename='jun.pdf',resolution=300)pdfImg=pdf.convert('jpeg')imgBlobs=[]forimginpdfImg.sequen...
importpytesseractdefextract_text_from_image(image):text=pytesseract.image_to_string(image)returntext The extract_text_from_image function utilizes pytesseract to read and extract text from each image, turning visual data into searchable, editable text. ...
text = pytesseract.image_to_string(img, config=config) 6.Get The Output Results Finally, in this step, you must type ” Print ” output command to get the output results. You have to type the following code to get the extracted text. ...
from PIL import Image except ImportError: import Image import pytesseract # If you don't have tesseract executable in your PATH, include the following: pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>' # Example tesseract_cmd = r'C:\Program Files (x86)\Tessera...
text = pytesseract.image_to_string(cropped_frame, config ='-c tessedit_char_whitelist=0123456789 --psm 10 --oem 2') else: text = pytesseract.image_to_string(cropped_frame, config='--psm 10') return text Convert the image to black and white for a better result and let’s start ...