Image-to-text converters are online tools operating on a special technology namedOCR technology. Optical Character Recognition (OCR) is a pattern-matching recognition-based technology that gives tools the ability to scan or analyze the text that the input image contains and then extract it accurately...
lb.configure(text=timestr)# 重新设置标签文本 root.after(1000,gettime)# 每隔1s调用函数 gettime 自身获取时间 root=tkinter.Tk()root.title('时钟')lb=tkinter.Label(root,text='',fg='blue',font=("黑体",80))lb.pack()gettime()root.mainloop() 方法二:利用textvariable变量属性来实现文本变化。 代...
tn=baiduimage&word=dog'response = requests.get(url, headers=headers)html = response.text# 解析 HTML 文档soup = BeautifulSoup(html, 'html.parser')img_tags = soup.find_all('img')# 获取所有图片链接img_urls = []for img in img_tags:img_url = img.get('src')if img_url and img_url.st...
importpytesseractfromPILimportImage # 读取图片 im=Image.open('sentence.png')# 识别文字,并指定语言 string=pytesseract.image_to_string(im,lang='chi_sim')print(string) 在识别时,我们设置lang='chi_sim',也就是把语言设置为简体中文,只有当你的tessdata目录下有简体中文包该设置才会生效。下面是我们用来识...
image = Image.open(image_path) text = pytesseract.image_to_string(image) new_name = text.split()[0] + '.jpg' new_path = os.path.join(root, new_name) os.rename(image_path, new_path) folder_path = 'your_folder_path' rename_images(folder_path) ...
binary=requests.get(img_url).content# 使用 io 模块，将二进制数据转换为图片img=Image.open(Bytes...
#pytesseract.get_languages(config='') 获取下载的所有语言 #这里拼接了所有语言 try: ling= pytesseract.get_languages(config='') lan='' forkinling: lan=f'{lan}+{k}' text= pytesseract.image_to_string(img, lang=lan) returntext except: ...
\tesseract\tesseract.exe'# (2)打开pdf文件pdf_file = fitz.open(r'一户一宅.pdf')# (3)遍历pdf的每一页forpage_numinrange(len(pdf_file)):# 获取页面page = pdf_file[page_num]# 提取页面上的图像image_list = page.get_images(full=True)forimage_index, imginenumerate(image_list):# 提取...
9 checkIM = r"/Subtype(?= */Image)" 10 pdf = fitz.open(path) 11 lenXREF = pdf._getXrefLength() 12 count = 1 13 for i in range(1, lenXREF): 14 text = pdf._getXrefString(i) 15 isImage = re.search(checkIM, text)
tools = pyocr.pyocr.get_available_tools() print(tools)#tools可能是[],这种情况就是没有找到本地能用的ocr工具,再检查一下本地是否有安装和路径配置的对不对 tool = tools[0] image = Image.open('D:\\image.png') text = tool.image_to_string(image, lang='chi_sim') ...