def TableOCR(self, request):
"""This API is used to detect and recognize Chinese and English forms in images. It can return the text content of each cell and save the recognition result as Excel.
This API is not fully available for the time being. For more information, please contact your [Tencent Cloud sales rep](https://intl.cloud.tencent.com/contact-sales).
:param request: Request instance for TableOCR.
:type request: :class:`tencentcloud.ocr.v20181119.models.TableOCRRequest`
:rtype: :class:`tencentcloud.ocr.v20181119.models.TableOCRResponse`
"""
try:
params = request._serialize()
body = self.call("TableOCR", params)
response = json.loads(body)
if "Error" not in response["Response"]:
model = models.TableOCRResponse()
model._deserialize(response["Response"])
return model
else:
code = response["Response"]["Error"]["Code"]
message = response["Response"]["Error"]["Message"]
reqid = response["Response"]["RequestId"]
raise TencentCloudSDKException(code, message, reqid)
except Exception as e:
if isinstance(e, TencentCloudSDKException):
raise
else:
raise TencentCloudSDKException(e.message, e.message)
def TableOCR(self, request):
"""本接口支持图片内表格文档的检测和识别，返回每个单元格的文字内容，支持将识别结果保存为 Excel 格式。
:param request: 调用TableOCR所需参数的结构体。
:type request: :class:`tencentcloud.ocr.v20181119.models.TableOCRRequest`
:rtype: :class:`tencentcloud.ocr.v20181119.models.TableOCRResponse`
"""
try:
params = request._serialize()
body = self.call("TableOCR", params)
response = json.loads(body)
if "Error" not in response["Response"]:
model = models.TableOCRResponse()
model._deserialize(response["Response"])
return model
else:
code = response["Response"]["Error"]["Code"]
message = response["Response"]["Error"]["Message"]
reqid = response["Response"]["RequestId"]
raise TencentCloudSDKException(code, message, reqid)
except Exception as e:
if isinstance(e, TencentCloudSDKException):
raise
else:
raise TencentCloudSDKException(e.message, e.message)