- 购买指南
- 快速入门
- 服务端 API 文档
- History
- Introduction
- API Category
- Making API Requests
- Card and Document OCR APIs
- MainlandIDCardOCR
- RecognizeMainlandIDCardOCR
- MLIDPassportOCR
- HmtPermitOCR
- MainlandPermitOCR
- HmtResidentPermitOCR
- HKIDCardOCR
- MLIDCardOCR
- RecognizeIndonesiaIDCardOCR
- RecognizeSingaporeIDCardOCR
- RecognizeThaiIDCardOCR
- RecognizeMacaoIDCardOCR
- BankCardOCR
- PhilippinesDrivingLicenseOCR
- PhilippinesSssIDOCR
- PhilippinesTinIDOCR
- PhilippinesVoteIDOCR
- PhilippinesUMIDOCR
- KoreanIDCardOCR
- KoreanDrivingLicenseOCR
- General Text OCR APIs
- Invoice and Ticket OCR APIs
- Vehicle Scene OCR APIs
- Smart Structured Information OCR APIs
- Data Types
- Error Codes
- 购买指南
- 快速入门
- 服务端 API 文档
- History
- Introduction
- API Category
- Making API Requests
- Card and Document OCR APIs
- MainlandIDCardOCR
- RecognizeMainlandIDCardOCR
- MLIDPassportOCR
- HmtPermitOCR
- MainlandPermitOCR
- HmtResidentPermitOCR
- HKIDCardOCR
- MLIDCardOCR
- RecognizeIndonesiaIDCardOCR
- RecognizeSingaporeIDCardOCR
- RecognizeThaiIDCardOCR
- RecognizeMacaoIDCardOCR
- BankCardOCR
- PhilippinesDrivingLicenseOCR
- PhilippinesSssIDOCR
- PhilippinesTinIDOCR
- PhilippinesVoteIDOCR
- PhilippinesUMIDOCR
- KoreanIDCardOCR
- KoreanDrivingLicenseOCR
- General Text OCR APIs
- Invoice and Ticket OCR APIs
- Vehicle Scene OCR APIs
- Smart Structured Information OCR APIs
- Data Types
- Error Codes
1. API Description
Domain name for API request: ocr.tencentcloudapi.com.
This API is used to recognize regular tables, borderless tables, or multi-tables in images or PDF files containing Chinese and English texts. It returns the text content of each cell, supports recognition of rotated table images, and can save the recognition results into an Excel document. It delivers higher recognition accuracy than that of table OCR v2 and applies to more scenarios. The recognition accuracy in difficult table scenarios, such as irregular tables and nested tables (borderless tables contained in bordered tables), is better than that of table OCR v2.
A maximum of 2 requests can be initiated per second for this API.
We recommend you to use API Explorer
Try it
API Explorer provides a range of capabilities, including online call, signature authentication, SDK code generation, and API quick search. It enables you to view the request, response, and auto-generated examples.
2. Input Parameters
The following request parameter list only provides API request parameters and some common parameters. For the complete common parameter list, see Common Request Parameters.
| Parameter Name | Required | Type | Description |
|---|---|---|---|
| Action | Yes | String | Common Params. The value used for this API: RecognizeTableAccurateOCR. |
| Version | Yes | String | Common Params. The value used for this API: 2018-11-19. |
| Region | No | String | Common Params. This parameter is not required for this API. |
| ImageBase64 | No | String | The Base64-encoded value of an image. The image cannot exceed 7 MB after being Base64-encoded. A resolution above 600 x 800 is recommended. PNG, JPG, JPEG, BMP, and PDF formats are supported. Supported image pixels: 20 to 10,000 Either ImageUrl or ImageBase64 of the image must be provided. If both are provided, only ImageUrl is used. |
| ImageUrl | No | String | The URL of the image or PDF file. The image or PDF file cannot exceed 7 MB after being Base64-encoded. A resolution above 600 x 800 is recommended. PNG, JPG, JPEG, BMP, and PDF formats are supported. Supported image pixels: 20 to 10,000 We recommend that you store the image in Tencent Cloud for higher download speed and stability. The download speed and stability of non-Tencent Cloud URLs may be low. |
| PdfPageNumber | No | Integer | The number of the PDF page that needs to be recognized. Only one single PDF page can be recognized. This parameter is valid if the uploaded file is a PDF and the value of IsPdf is true. Default value: 1. |
3. Output Parameters
| Parameter Name | Type | Description |
|---|---|---|
| TableDetections | Array of TableInfo | The recognized text information. Please click the link on the left for details. Note: This field may return null, indicating that no valid values can be obtained. |
| Data | String | Base64-encoded Excel data. |
| PdfPageSize | Integer | The total number of pages in the PDF file. Note: This field may return null, indicating that no valid values can be obtained. |
| Angle | Float | Image rotation angle in degrees. 0°: The horizontal direction of the text on the image; a negative value: rotate counterclockwise. Value range: -360° to 0°. Note: This field may return null, indicating that no valid values can be obtained. |
| RequestId | String | The unique request ID, which is returned for each request. RequestId is required for locating a problem. |
4. Example
Example1 Recognizing a table
This example shows you how to recognize a table.
Input Example
POST / HTTP/1.1
Host: ocr.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: RecognizeTableDDSNOCR
<Common request parameters>
{
"ImageUrl": "https://ocr-demo-1254418846.cos.ap-guangzhou.myqcloud.com/document/TableOCRDDS/TableOCRDDS1.png"
}
Output Example
{
"Response": {
"Angle": 0,
"Data": "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"PdfPageSize": 0,
"RequestId": "f5a1fabb-956f-4622-9d5d-2982b01ac2ec",
"TableDetections": [
{
"Cells": [
{
"ColBr": 1,
"ColTl": 0,
"Confidence": 0,
"Polygon": [
{
"X": 32,
"Y": 29
},
{
"X": 348,
"Y": 29
},
{
"X": 348,
"Y": 74
},
{
"X": 32,
"Y": 74
}
],
"RowBr": 1,
"RowTl": 0,
"Text": "",
"Type": "body"
},
{
"ColBr": 2,
"ColTl": 1,
"Confidence": 100,
"Polygon": [
{
"X": 348,
"Y": 29
},
{
"X": 574,
"Y": 29
},
{
"X": 574,
"Y": 74
},
{
"X": 348,
"Y": 74
}
],
"RowBr": 1,
"RowTl": 0,
"Text": "",
"Type": "body"
},
{
"ColBr": 4,
"ColTl": 2,
"Confidence": 100,
"Polygon": [
{
"X": 574,
"Y": 29
},
{
"X": 872,
"Y": 29
},
{
"X": 873,
"Y": 74
},
{
"X": 574,
"Y": 74
}
],
"RowBr": 1,
"RowTl": 0,
"Text": "",
"Type": "body"
},
{
"ColBr": 6,
"ColTl": 4,
"Confidence": 100,
"Polygon": [
{
"X": 872,
"Y": 29
},
{
"X": 1166,
"Y": 29
},
{
"X": 1166,
"Y": 73
},
{
"X": 873,
"Y": 74
}
],
"RowBr": 1,
"RowTl": 0,
"Text": "",
"Type": "body"
},
{
"ColBr": 1,
"ColTl": 0,
"Confidence": 100,
"Polygon": [
{
"X": 32,
"Y": 74
},
{
"X": 348,
"Y": 74
},
{
"X": 348,
"Y": 106
},
{
"X": 32,
"Y": 106
}
],
"RowBr": 2,
"RowTl": 1,
"Text": "",
"Type": "body"
},
{
"ColBr": 2,
"ColTl": 1,
"Confidence": 100,
"Polygon": [
{
"X": 348,
"Y": 74
},
{
"X": 574,
"Y": 74
},
{
"X": 574,
"Y": 106
},
{
"X": 348,
"Y": 106
}
],
"RowBr": 2,
"RowTl": 1,
"Text": "3,832,876,471.32",
"Type": "body"
},
{
"ColBr": 4,
"ColTl": 2,
"Confidence": 100,
"Polygon": [
{
"X": 574,
"Y": 74
},
{
"X": 873,
"Y": 74
},
{
"X": 873,
"Y": 106
},
{
"X": 574,
"Y": 106
}
],
"RowBr": 2,
"RowTl": 1,
"Text": "2,965,689,152.98",
"Type": "body"
},
{
"ColBr": 6,
"ColTl": 4,
"Confidence": 100,
"Polygon": [
{
"X": 873,
"Y": 74
},
{
"X": 1166,
"Y": 73
},
{
"X": 1166,
"Y": 105
},
{
"X": 873,
"Y": 106
}
],
"RowBr": 2,
"RowTl": 1,
"Text": "18.98%",
"Type": "body"
},
{
"ColBr": 1,
"ColTl": 0,
"Confidence": 100,
"Polygon": [
{
"X": 32,
"Y": 106
},
{
"X": 348,
"Y": 106
},
{
"X": 348,
"Y": 135
},
{
"X": 32,
"Y": 135
}
],
"RowBr": 3,
"RowTl": 2,
"Text": "",
"Type": "body"
},
{
"ColBr": 2,
"ColTl": 1,
"Confidence": 100,
"Polygon": [
{
"X": 348,
"Y": 106
},
{
"X": 574,
"Y": 106
},
{
"X": 574,
"Y": 135
},
{
"X": 348,
"Y": 135
}
],
"RowBr": 3,
"RowTl": 2,
"Text": "763,789,872.82",
"Type": "body"
},
{
"ColBr": 4,
"ColTl": 2,
"Confidence": 100,
"Polygon": [
{
"X": 574,
"Y": 106
},
{
"X": 873,
"Y": 106
},
{
"X": 873,
"Y": 135
},
{
"X": 574,
"Y": 135
}
],
"RowBr": 3,
"RowTl": 2,
"Text": "896,653,780.86",
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5. Developer Resources
SDK
TencentCloud API 3.0 integrates SDKs that support various programming languages to make it easier for you to call APIs.
- Tencent Cloud SDK 3.0 for Python
- Tencent Cloud SDK 3.0 for Java
- Tencent Cloud SDK 3.0 for PHP
- Tencent Cloud SDK 3.0 for Go
- Tencent Cloud SDK 3.0 for NodeJS
- Tencent Cloud SDK 3.0 for .NET
- Tencent Cloud SDK 3.0 for C++
Command Line Interface
6. Error Code
The following only lists the error codes related to the API business logic. For other error codes, see Common Error Codes.
| Error Code | Description |
|---|---|
| FailedOperation.DownLoadError | File download failed. |
| FailedOperation.EmptyImageError | The image is empty. |
| FailedOperation.ImageDecodeFailed | Image decoding failed. |
| FailedOperation.ImageSizeTooLarge | The image is too large. Please see the description of image size limit in the output parameters. |
| FailedOperation.OcrFailed | OCR failed. |
| FailedOperation.UnKnowError | Unknown error. |
| FailedOperation.UnOpenError | The service is not activated. |
| InvalidParameterValue.InvalidParameterValueLimit | Incorrect parameter value. |
| LimitExceeded.TooLargeFileError | The file is too large. |
| ResourcesSoldOut.ChargeStatusException | Exceptional billing status. |
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