python调用百度ai将图片/pdf识别为表格excel

表格文字识别(异步接口)

图片转excel

百度ai官方文档：https://ai.baidu.com/ai-doc/OCR/Ik3h7y238
使用的是表格文字识别(异步接口)，同步接口已经下线

import requests
import json
import base64
import time
'''
文档：https://ai.baidu.com/ai-doc/OCR/Ik3h7y238
'''# 获取access_token地址：https://console.bce.baidu.com/ai/#/ai/ocr/app/list
def get_access_token():client_id = "xxxxxxxxxxxxxxxxxx" # 你的apikeyclient_secret = "xxxxxxxxxxxxxxxxxxxxxx" # 你的Secret Keyhost = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}'.format(client_id, client_secret)response = requests.get(host).textdata = json.loads(response)access_token = data['access_token']return access_token# 获取识别结果
def get_info(access_token):request_url = "https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/request"# 二进制方式打开图片文件f = open('1.jpg', 'rb')img = base64.b64encode(f.read())  # base64编码params = {"image": img}request_url = request_url + "?access_token=" + access_tokenheaders = {'content-type': 'application/x-www-form-urlencoded'}response = requests.post(request_url, data=params, headers=headers)# if response:#     print(response.json())data_1 = response.json()return data_1# 获取exceldef get_excel(requests_id, access_token):headers = {'content-type': 'application/x-www-form-urlencoded'}pargams = {'request_id': requests_id,'result_type': 'excel'}url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/get_request_result'url_all = url + "?access_token=" + access_tokenres = requests.post(url_all, headers=headers, params=pargams)  # 访问链接获取excel下载页info_1 = res.json()['result']['ret_msg']excel_url = res.json()['result']['result_data']excel_1 = requests.get(excel_url).contentprint(excel_1)with open('识别结果.xls', 'wb+') as f:f.write(excel_1)print(info_1)def main():print('正在处理中请稍后')access_token = get_access_token()data_1 = get_info(access_token)try:requests_id = data_1['result'][0]['request_id']if requests_id != '':print('识别完成')except:print('识别错误')print('正在获取excel')time.sleep(10)  # 延时十秒让网页图片转excel完毕，excel量多的话，转化会慢，可以延时长一点get_excel(requests_id, access_token)main()

表格文字识别V2

图片/pdf转excel通用

import requests
import json
import base64CLIENT_ID = "xxxxxxxxxxxxxxxxx"  # 你的apikey,需要修改
CLIENT_SECRET = "xxxxxxxxxxxxxxxxxxxxx"  # 你的Secret Key，需要修改# 获取access_token
def get_access_token():auth_url = 'https://aip.baidubce.com/oauth/2.0/token'params = {'grant_type': 'client_credentials','client_id': CLIENT_ID,'client_secret': CLIENT_SECRET,}response = requests.post(auth_url, data=params)data = response.json()access_token = data.get('access_token')if not access_token:raise "请输入正确的client_id 和 client_secret"return access_tokendef save_excel(b64_excel, excel_name):# 将base64编码的excel文件解码并保存为本地文件excel = base64.b64decode(b64_excel)with open(excel_name, 'wb') as f:f.write(excel)def to_excel(file_path, excel_name):access_token = get_access_token()request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/table"# 以二进制方式打开图片文件，并将其转换为base64编码with open(file_path, 'rb') as f:file = base64.b64encode(f.read())ext = file_path.split('.')[-1]if ext in ['jpg', 'jpeg', 'png', 'bmp']:# 图片格式data = {"image": file,"return_excel": 'true',}elif ext == 'pdf':# pdf格式data = {"pdf_file": file,"return_excel": 'true',}headers = {'content-type': 'application/x-www-form-urlencoded'}# 发送POST请求进行表格文字识别response = requests.post(request_url, params={'access_token': access_token}, data=data, headers=headers)if response.ok:data = response.json()# 将返回的excel文件保存到本地save_excel(data.get('excel_file', ''), excel_name)print('转换完成')else:print('转换失败')if __name__ == '__main__':img_path = '1.png'  # 要转换的图片文件名pdf_path = 'table.pdf'  # 要转换的pdf文件名to_excel(file_path=img_path, excel_name='out_pic.xlsx')  # 转换后的excel文件名to_excel(file_path=pdf_path, excel_name='out_pdf.xlsx')  # 转换后的excel文件名