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

时间:2021-05-22

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 jsonfrom tencentcloud.common import credentialfrom tencentcloud.common.profile.client_profile import ClientProfilefrom tencentcloud.common.profile.http_profile import HttpProfilefrom tencentcloud.ocr.v20181119 import ocr_clientfrom 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()

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