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。 ? 1 2 3 4 5 6 7 0 Comments

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。

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#!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')

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。

原文链接：https://blog.csdn.net/onestab/article/details/79091289

本文链接：https://my.lmcjl.com/post/9341.html

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