python 3调用百度OCR API实现剪贴板文字识别

本程序调用百度OCR API对剪贴板的图片文字识别，配合CaptureScreen软件，可快速识别文字。

#!python3
import urllib.request, urllib.parse
import os, io, sys, json, socket
import base64
from PIL import ImageGrab

socket.setdefaulttimeout(30)

def get_auth():
 apikey = 'your apikey'
 secret_key = 'your secret key'
 host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=％s&client_secret=％s' ％ (apikey, secret_key)
 req = urllib.request.Request(host)
 req.add_header('Content-Type', 'application/json; charset=UTF-8')
 res = urllib.request.urlopen(req)
 content = res.read()
 if (content):
   o = json.loads(content.decode())
   return o['access_token']
 return None

def ocr_clipboard():
 im = ImageGrab.grabclipboard()
 if im is None:
   print('No image in clipboard')
   return
 print('image size: ％sx％s\n>>>\n' ％ (im.size[0], im.size[1]))
 mf = io.BytesIO()
 im.save(mf, 'JPEG')
 mf.seek(0)
 buf = mf.read()
 b64 = base64.encodebytes(buf)
 access_token = get_auth()
 if access_token is not None:
   url = 'https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic?access_token=％s' ％ access_token
   data = urllib.parse.urlencode({'image' : b64}).encode()
   req = urllib.request.Request(url, method='POST')
   req.add_header('Content-Type', 'application/x-www-form-urlencoded')
   with urllib.request.urlopen(req, data) as p:
     res = p.read().decode('utf-8')
     o = json.loads(res)
     if o['words_result'] is not None:
       for w in o['words_result']:
         print(w['words'])
     print('\n<<<')
 else:
   print('access_token is none')

if __name__ == '__main__':

x = input('ocr form clipboard image: z to ocr, q to quit-->')
 while(x != 'q'):
   if x=='z':
     ocr_clipboard()
   x = input('ocr from clipboard image: r to ocr, q to quit-->')
 print('bye')

来源：https://blog.csdn.net/onestab/article/details/79091289