pdf文字识别

import requests
import base64

# 设置腾讯云OCR文字识别服务的密钥和地址
secret_id = 'your_secret_id'
secret_key = 'your_secret_key'
endpoint = 'ocr.tencentcloudapi.com'

# 定义PDF文档的路径和名称
pdf_path = 'your_pdf_file_path'
pdf_name = 'your_pdf_file_name'

# 将PDF文档转化成Base64编码的字符串
with open(pdf_path + pdf_name, 'rb') as f:
    pdf_data = f.read()
    pdf_base64 = base64.b64encode(pdf_data)

# 发送PDF文字识别请求
url = 'https://%s/' % endpoint
data = {
    'Action': 'GeneralBasicOCR',
    'ImageBase64': pdf_base64,
    'LanguageType': 'zh',
    'IsPdf': True,
    'PdfPageNumber': 1,
    'SecretId': secret_id,
    'Timestamp': int(time.time()),
    'Nonce': random.randint(1, 1000000),
    'Version': '2018-11-19'
}
sign = signature(secret_key, data, endpoint)
data['Signature'] = sign
res = requests.post(url, data=data)

# 处理PDF文字识别结果
if res.status_code == 200:
    result = json.loads(res.content)
    if result.get('Response', {}).get('Error', {}).get('Code', '') == '':
        text = result.get('Response', {}).get('TextDetections', [])
        for t in text:
            print(t.get('DetectedText', ''))
    else:
        print(result.get('Response', {}).get('Error', {}).get('Message', ''))
else:
    print(res.content)