4506T - 文档类型

概述

IRS 表格 4056-T 用于请求纳税申报表信息。纳税人提交 4506-T 以索取所得税文件的完整副本，并提交 4506-C 以索取相同文件的副本。

This Document Understanding^TM skill can extract up to 22 fields.

特殊性

该模型会自动检测以下数据：

• 纳税人/配偶的姓名、地址和 SSN
• 副本请求规范、年份/请求期间
• 签名日期、职位头衔、电话号码

Extracted fields

备注：

If you are using using public endpoints, such as https://du.uipath.com/ie/invoices, all fields are available. However, if you are using custom-trained extractors, the availability of extracted fields is dependant on the version you are currently using. You can also check the list of fields and types on any endpoint in the /info/model object. To access this, simply add /info/model to any endpoint, like so: https://du.uipath.com/ie/invoices/info/model. For an enhanced reading experience of the fields list, it's recommended to install a JSON viewer extension in your browser.

Table 1. List of extracted fields for 4506T

显示名称	字段名称	字段类型	内容类型
Name on Tax Return	1a-name	regular	字符串
First Social Security Number on Tax Return	1b-ssn	regular	id-no
Spouse Name on Tax Return	2a-spouse-name	regular	字符串
Second Social Security Number on Tax Return	2b-second-ssn	regular	id-no
Current Name and Address	3-current-address	regular	字符串
Previous Address Shown on Last Return	4-previous-address	regular	字符串
Customer File Number	5-customer-file-no	regular	id-no
Transcript Tax Form Number	6-tax-form-number	regular	id-no
Return Transcript Y/N	6a-return-transcript-y	regular	字符串
Account Transcript Y/N	6b-account-transcript-y	regular	字符串
Record of Account Y/N	6c-record-acct-y	regular	字符串
Verification of Nonfiling Y/N	7-verification-of-nonf	regular	字符串
Other Form Series Transcript	8-form-xx-transcript	regular	字符串
Period Requested	9-period-date1	regular	日期
Signature Acknowledgement	signature-ack	regular	字符串
Signature Date	signature-date	regular	日期
电话号码	taxpayer-phone	regular	phone
标题	title	regular	字符串
Spouse's Signature Date	signature-date-spouse	regular	日期
IVES Participant Name Address and SOR	5-participant-name-addr	regular	字符串

示例

您可以下载以下已填写的表单示例：

• 示例 1
• 示例 2

您还可以预览已填写表单的示例：

已处理的文档类型：

此预训练模型可用于以下文档类型：

• 4506-T
• 4506-C