OCRspace API 集成指南：免费在线 OCR 识别批量处理功能操作全解析！

import requests

api_url = 'https://api.ocr.space/parse/image'
api_key = '你的 API 密钥'
image_path = './test.png'  # 替换成你的图片路径

files = {'image': open(image_path, 'rb')}
data = {
    'apikey': api_key,
    'language': 'chs',  # 中文识别
    'OCREngine':   # 使用引擎 1
}

response = requests.post(api_url, files=files, data=data)

if response.status_code == :
    result = response.json()
    if not result['IsErroredOnProcessing']:
        text = result['ParsedResults'][]['ParsedText']
        print(text)
    else:
        print('识别出错：', result['ErrorMessage'])
else:
    print('请求失败：', response.status_code)

import os
import requests

api_url = 'https://api.ocr.space/parse/image'
api_key = '你的 API 密钥'
input_dir = './images/'  # 图片文件夹路径

for filename in os.listdir(input_dir):
    if filename.endswith(('.png', '.jpg', '.jpeg')):
        image_path = os.path.join(input_dir, filename)
        files = {'image': open(image_path, 'rb')}
        data = {
            'apikey': api_key,
            'language': 'chs',
            'OCREngine': 
        }

        response = requests.post(api_url, files=files, data=data)

        if response.status_code == :
            result = response.json()
            if not result['IsErroredOnProcessing']:
                text = result['ParsedResults'][]['ParsedText']
                output_file = os.path.splitext(filename)[] + '.txt'
                with open(output_file, 'w', encoding='utf-8') as f:
                    f.write(text)
                print(f'已处理 {filename}，结果保存为 {output_file}')
            else:
                print(f'{filename} 识别出错：', result['ErrorMessage'])
        else:
            print(f'{filename} 请求失败：', response.status_code)