相較于前邊兩個，這個識別率比較低，而且免費次數也少（白嫖黨表示很難受）

# -*- coding: utf-8 -*- import os, sys, requests, base64, json # from PIL import Image # img=Image.open('pic/1.jpg') # img.save('pic/1.jpg') # reload(sys) # sys.setdefaultencoding('utf-8')key = 'xxxxxxxx'#自己新建的項目密鑰 url = 'http://api.hanvon.com/rt/ws/v1/ocr/generaltext/recg?key=%s&code=9c56015f-af3c-4b82-a4eb-dc34efa54683' % key print(url)def get_json(path):base64img = ""#base64img需要是utf-8格式的字符串base64img = base64.b64encode(open(path, 'rb').read())# base64img = str(base64img, 'utf-8')base64img = base64img.encode("UTF-8")data = {"uid": '', "isText": "1", "image": base64img}data = json.dumps(data)headers = {"Content-Type": "application/octet-stream"}resp = requests.post(url, data=data, headers=headers)# print(resp.text)return respif __name__ == '__main__':import globimport ospath_pic='pic'path_save='hanwang_OCR'if not os.path.exists(path_save):os.mkdir(path_save)extensions=['jpg', 'JPG', 'jpeg', 'JPEG']for extension in extensions:for path in glob.glob(os.path.join(path_pic, '*.'+extension)):path_txt = path_save + '/' + path.split('/')[-1].split('.')[0] + '.txt'resp = get_json(path)results=resp.textlines=results.split('"chars":')[1:]with open(path_txt,'w') as file:for line in lines:words=line.split('"code":"')[1:]for word in words:# get_char = word[0]# print(get_char)get_char=word.split('","coords"')[0]file.write(get_char)file.write('\n')

總結

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