识别效果展示

原始表格

 识别处理的表格，可以看到，效果是非常好的

 

获取KEY

百度智能云 (baidu.com)

产品——文字识别——通用场景

去领取

 通用场景OCR——全部——0元领取

 去创建

填应用名称——全选——最下面应用描述——立即创建——返回应用列表

这两个key分别复制到main_GUI中的client_id和client_secret

 

第一步我们获取access_token

import requests
import json
import base64
import time

def get_access_token():
    client_id = '你的apikey'
    client_secret = '你的Secret Key'
    # client_id 为官网获取的AK， client_secret 为官网获取的SK
    host = '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).text
    data = json.loads(response)
    access_token = data['access_token']
    return access_token
# 获取返回信息

第二步我们获取是否识别成功的json数据

如果成功识别成功会给你一个request_id，用这个来获取excel表，也可以选择获取json数据（注意图片一点要转为base64编码，支持PNG、JPG、JPEG、BMP、TIFF、PNM、WebP）

#在这里我把文件路径放在了函数里面，可以放在外面，也可以做一个循环，识别一个文件夹里面的所有图片。
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('你需要识别的文件', 'rb')
    img = base64.b64encode(f.read())#base64编码
    params = {"image": img}
    request_url = request_url + "?access_token=" + access_token
    headers = {'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

第三步我们获取excel表。

如果你的result_type是excel，则会给你返回一个excel网页连接，如果是json，则会返回json数据

def 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_token
    res = 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).content
    with open('识别结果.xls','wb+') as f:
        f.write(excel_1)
    print(info_1)

完整代码

下面是可以批量处理图片以及有一个GUI界面的代码

 

import os
import requests
import json
import base64
import time
import tkinter as tk
from tkinter import filedialog
from tkinter import ttk
# 获取access_token
def get_access_token():
    client_id = '你的apikey'
    client_secret = '你的apikey'
    # client_id 为官网获取的AK， client_secret 为官网获取的SK
    host = '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).text
    data = json.loads(response)
    access_token = data['access_token']
    return access_token

# 获取识别结果
def get_info(access_token, image):
    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
    img = base64.b64encode(image)  # base64编码
    params = {"image": img}
    request_url = request_url + "?access_token=" + access_token
    headers = {'content-type': 'application/x-www-form-urlencoded'}
    response = requests.post(request_url, data=params, headers=headers)
    data_1 = response.json()
    return data_1

# 获取excel
def get_excel(requests_id, access_token, image_file, output_dir):
    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_token
    res = 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).content
    excel_name = '第{}.xlsx'.format(image_file.split('.')[0])
    excel_path = os.path.join(output_dir, excel_name)
    with open(excel_path, 'wb+') as f:
        f.write(excel_1)
    print('图片 {} 处理完成'.format(image_file))
    print(info_1)

def process_images(input_dir, output_dir, progress_bar):
    access_token = get_access_token()
    image_files = os.listdir(input_dir)  # 获取文件夹中的所有图片文件
    total_images = len(image_files)
    for i, image_file in enumerate(image_files):
        image_path = os.path.join(input_dir, image_file)
        with open(image_path, 'rb') as f:
            image = f.read()
        data_1 = get_info(access_token, image)
        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, image_file, output_dir)
        progress = (i + 1) / total_images * 100
        progress_bar['value'] = progress
        progress_bar.update()

def select_input_dir():
    input_dir = filedialog.askdirectory()
    input_dir_entry.delete(0, tk.END)
    input_dir_entry.insert(tk.END, input_dir)

def select_output_dir():
    output_dir = filedialog.askdirectory()
    output_dir_entry.delete(0, tk.END)
    output_dir_entry.insert(tk.END, output_dir)

def start_processing():
    input_dir = input_dir_entry.get()
    output_dir = output_dir_entry.get()
    progress_bar['value'] = 0
    progress_bar.update()
    process_images(input_dir, output_dir, progress_bar)
    progress_bar['value'] = 100
    progress_bar.update()

# 创建GUI窗口
window = tk.Tk()
window.title("图片处理")
window.geometry("400x250")

# 输入地址
input_dir_label = tk.Label(window, text="输入地址:")
input_dir_label.pack()
input_dir_entry = tk.Entry(window, width=40)
input_dir_entry.pack()
input_dir_button = tk.Button(window, text="选择文件夹", command=select_input_dir)
input_dir_button.pack()

# 输出地址
output_dir_label = tk.Label(window, text="输出地址:")
output_dir_label.pack()
output_dir_entry = tk.Entry(window, width=40)
output_dir_entry.pack()
output_dir_button = tk.Button(window, text="选择文件夹", command=select_output_dir)
output_dir_button.pack()

# 进度条
progress_bar = ttk.Progressbar(window, orient='horizontal', length=300, mode='determinate')
progress_bar.pack()

# 开始处理按钮
start_button = tk.Button(window, text="开始处理", command=start_processing)
start_button.pack()

# 运行GUI窗口
window.mainloop()

参考：

(1条消息) Python调用百度云API识别表格识别_调用百度接口识别表格_白胖胖宋棒棒的博客-CSDN博客