图片提取文字

import base64
import json
import requests

# 腾讯云OCR接口地址
url = 'https://ocr.tencentcloudapi.com/'

# API密钥和密钥ID
secret_id = 'your_secret_id'
secret_key = 'your_secret_key'

# 需要识别的图片路径
image_path = 'your_image_path'

# 将图片转换成base64编码
with open(image_path, 'rb') as f:
    image_data = f.read()
    base64_data = base64.b64encode(image_data).decode()

# 构造请求参数
params = {
    'ImageBase64': base64_data,
    'LanguageType': 'zh',
    'DetectType': 'OCR',
    'IsPdf': False
}
params_str = json.dumps(params)

# 计算签名
timestamp = int(time.time())
nonce = random.randint(1, 10000)
signature = sign(secret_id, secret_key, url, params_str, timestamp, nonce)

# 发送POST请求
headers = {
    'Host': 'ocr.tencentcloudapi.com',
    'Content-Type': 'application/json',
    'Authorization': signature,
    'X-TC-Action': 'GeneralBasicOCR',
    'X-TC-Version': '2018-11-19',
    'X-TC-Timestamp': str(timestamp),
    'X-TC-Nonce': str(nonce),
    'X-TC-Region': 'ap-guangzhou'
}
response = requests.post(url, data=params_str, headers=headers)

# 解析响应数据
result = json.loads(response.text)
if 'TextDetections' in result:
    for text in result['TextDetections']:
        print(text['DetectedText'])