Python3使用腾讯云文字识别(腾讯OCR)提取图片中的文字内容实例详解

百度OCR体验地址：

https://ai.baidu.com/tech/imagerecognition/general

腾讯OCR体验地址：

https://cloud.tencent.com/act/event/ocrdemo

测试结果是：腾讯的效果要比百度的好

腾讯云目前额度是：

每个接口 1,000次/月免费，有6个文字识别的接口，一共是6,000次/月

百度接口调用之前写过文章

python实现百度OCR图片识别过程解析

使用步骤

1、注册账号： https://cloud.tencent.com/

2、开通服务：https://console.cloud.tencent.com/ocr/general

3、申请访问秘钥：https://console.cloud.tencent.com/cam/capi

4、通过 API 或 SDK 或命令行来使用服务

具体参考《操作指南》：https://cloud.tencent.com/document/product/866/17622

接口使用

1、安装SDK

https://github.com/TencentCloud/tencentcloud-sdk-python

pip3 install tencentcloud-sdk-python

2、代码实例

# -*- coding: utf-8 -*-

import json

from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.ocr.v20181119 import ocr_client
from tencentcloud.ocr.v20181119.models import (
  GeneralAccurateOCRRequest,
  EnglishOCRRequest,
  GeneralBasicOCRRequest,
  GeneralEfficientOCRRequest,
  GeneralFastOCRRequest,
  GeneralHandwritingOCRRequest
)


class TencentOcr(object):
  """
  计费说明：1,000次/月免费
  https://cloud.tencent.com/document/product/866/17619
  """
  SECRET_ID = "你的秘钥 SECRET_ID"

  SECRET_KEY = "你的秘钥 SECRET_KEY"

# 地域列表
# https://cloud.tencent.com/document/api/866/33518#.E5.9C.B0.E5.9F.9F.E5.88.97.E8.A1.A8
  Region = "ap-beijing"

  endpoint = "ocr.tencentcloudapi.com"

  # 通用文字识别相关接口
  # https://cloud.tencent.com/document/api/866/37173
  mapping = {
    # 通用印刷体识别（高精度版） ok
    "GeneralAccurateOCR": GeneralAccurateOCRRequest,

    # 英文识别 ok
    "EnglishOCR": EnglishOCRRequest,

    # 通用印刷体识别 一般
    "GeneralBasicOCR": GeneralBasicOCRRequest,

    # 通用印刷体识别（精简版）（免费公测版）no
    "GeneralEfficientOCR": GeneralEfficientOCRRequest,

    # 通用印刷体识别（高速版）一般
    "GeneralFastOCR": GeneralFastOCRRequest,

    # 通用手写体识别 ok
    "GeneralHandwritingOCR": GeneralHandwritingOCRRequest,

  }

  def __init__(self):
    cred = credential.Credential(self.SECRET_ID, self.SECRET_KEY)

    httpProfile = HttpProfile()
    httpProfile.endpoint = self.endpoint

    clientProfile = ClientProfile()
    clientProfile.httpProfile = httpProfile
    self.client = ocr_client.OcrClient(cred, self.Region, clientProfile)

  def get_image_text(self, image_url, ocr="GeneralAccurateOCR"):
    req = self.mapping[ocr]()
    req.ImageUrl = image_url
    resp = getattr(self.client, ocr)(req)
    return json.loads(resp.to_json_string())['TextDetections'][0]['DetectedText']


def main():
  tencentOcr = TencentOcr()
  url = "https://ocr-demo-1254418846.cos.ap-guangzhou.myqcloud.com/general/GeneralBasicOCR/GeneralBasicOCR3.jpg"
  print(tencentOcr.get_image_text(url, ocr="GeneralHandwritingOCR"))


if __name__ == '__main__':
  main()

更多关于Python3使用腾讯云文字识别(腾讯OCR)提取图片中的文字内容实例请查看下面的相关链接