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接口描述

支持财务场景中13种常见票据的分类及结构化识别，包括增值税发票、卷票、机打发票、定额发票、火车票、出租车票、网约车行程单、飞机行程单、汽车票、过路过桥费、船票、机动车/二手车销售发票。支持多张不同种类票据在同一张图片上的混贴场景，可返回每张票据的位置、种类及票面信息的结构化识别结果。

视频教程请参见 智能财务票据识别+增值税发票验真使用教程

在线调试

您可以在 示例代码中心 中调试该接口，可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。

请求说明

请求示例

HTTP 方法：POST

请求URL： https://aip.baidubce.com/rest/2.0/ocr/v1/multiple_invoice

URL参数：

Header如下：

Body中放置请求参数，参数详情如下：

请求参数

请求代码示例

提示一：使用示例代码前，请记得替换其中的示例Token、图片地址或Base64信息。

提示二：部分语言依赖的类或库，请在代码注释中查看下载地址。

curl -i -k 'https://aip.baidubce.com/rest/2.0/ocr/v1/multiple_invoice?access_token=

【调用鉴权接口获取的token】' --data 'image=【图片Base64编码，

需UrlEncode】' -H 'Content-Type:application/x-www-form-urlencoded'

返回说明

返回参数

type 字段会返回以下17种结果，每种结果对应的票据类型详见下表

type 的返回结果为 vat_invoice，即“增值税发票”时，识别结果的返回字段如下

type 的返回结果为 taxi_receipt，即“出租车票”时，识别结果的返回字段如下

type 的返回结果为 train_ticket，即“火车票”时，识别结果的返回字段如下

type 的返回结果为 quota_invoice，即“定额发票”时，识别结果的返回字段如下

type 的返回结果为 air_ticket，即“飞机行程单”时，识别结果的返回字段如下

type 的返回结果为 roll_normal_invoice，即“卷票”时，识别结果的返回字段如下

type 的返回结果为 printed_invoice，即“机打发票”时，识别结果的返回字段如下

type 的返回结果为 bus_ticket，即“汽车票”时，识别结果的返回字段如下

type 的返回结果为 toll_invoice，即“过路过桥费”时，识别结果的返回字段如下

type 的返回结果为 ferry_ticket，即“船票”时，识别结果的返回字段如下

type 的返回结果为 motor_vehicle_invoice，即“机动车销售发票”时，识别结果的返回字段如下

type 的返回结果为 used_vehicle_invoice，即“二手车销售发票”时，识别结果的返回字段如下

type 的返回结果为 taxi_online_ticket，即“网约车行程单”时，识别结果的返回字段如下

当验真参数开启（即 verify_parameter=true 时），返回匹配发票验真接口所需的6要素信息

返回示例

{ "words_result": [ { "type": "vat_invoice", "width": 0, "probability": 0.9980429411, "height": 649,

 "left": 154, "top": 177, "result": { "AmountInWords": [ { "word": "叁佰陆拾圆整" } ], "InvoiceNumConfirm":

 [ { "word": "07286261" } ], "CommodityEndDate": [], "CommodityVehicleType": [], "CommodityStartDate": [], 

"CommodityPrice": [ { "row": "1", "word": "339.62" } ], "NoteDrawer": [ { "word": "余佳燕" } ], 

"SellerAddress": [], "CommodityNum": [ { "row": "1", "word": "1" } ], "SellerRegisterNum": [

 { "word": "91330106673959654P" } ], "MachineCode": [], "Remarks": [], "SellerBank": [ { "word": "

招商银行杭州高新支行502905023610702" } ], "CommodityTaxRate": [ { "row": "1", "word": "6%" } ], 

"TotalTax": [ { "word": "20.38" } ], "InvoiceCodeConfirm": [ { "word": "3321192130" } ], 

"CheckCode": [], "InvoiceCode": [ { "word": "3321192130" } ], "InvoiceDate": [ { "word": 

"2019年08月28日" } ], "PurchaserRegisterNum": [ { "word": "91110911717743469K" } ], 

"InvoiceTypeOrg": [ { "word": "浙江增值税专用发票" } ], "OnlinePay": [], "Password": [ { "word":

 "508>3909>1*>01/-46709-6/3+*7+8>/1*19+7-0**>+58290-6>647-+324865*9*1<*2191/7754/2<838+/

/5-69--748*<251408<" } ], "Agent": [ { "word": "否" } ], "AmountInFiguers": [ { "word": "360.00" }

 ], "PurchaserBank": [ { "word": "招商银行北京分行大电路支行866180100210002" } ], "Checker": [ 

{ "word": "柳余" } ], "City": [], "TotalAmount": [ { "word": "339.62" } ], "CommodityAmount": [

 { "row": "1", "word": "339.62" } ], "PurchaserName": [ { "word": "百度在线网络技术(北京)有限公司" } 

], "CommodityType": [], "Province": [ { "word": "浙江" } ], "InvoiceType": [ { "word": "专用发票" } 

], "SheetNum": [ { "word": "第二联：抵扣联" } ], "PurchaserAddress": [], "CommodityTax": [ { "row": 

"1", "word": "20.38" } ], "CommodityPlateNum": [], "CommodityUnit": [ { "row": "1", "word": "套" } ],

 "Payee": [ { "word": "佳机" } ], "CommodityName": [ { "row": "1", "word": "*信息技术服务*软件服务费" } 

], "SellerName": [ { "word": "百度智能云" } ], "InvoiceNum": [ { "word": "07286261" } ] } }, { "type":

 "taxi_receipt", "width": 0, "probability": 0.9858493805, "height": 615, "left": 1325, "top": 200, 

"result": { "PickupTime": [ { "word": "10:50" } ], "DropoffTime": [ { "word": "17:06" } ], "Time": [ 

{ "word": "10:50-17:06" } ], "City": [ { "word": "" } ], "FuelOilSurcharge": [ { "word": "1.00" } ], 

"Date": [ { "word": "2019-03-20" } ], "Province": [ { "word": "陕西省" } ], "CallServiceSurcharge": [

 { "word": "0.00" } ], "Fare": [ { "word": "21.10" } ], "TotalFare": [ { "word": "22.00" } ], 

"TaxiNum": [ { "word": "AQ6353" } ], "PricePerkm": [ { "word": "2.30" } ], "InvoiceCode": [ 

{ "word": "161001881016" } ], "Distance": [ { "word": "6.0" } ], "InvoiceNum": [ { "word":

 "05070716" } ], "Location": [ { "word": "陕西省" } ] } } ], "words_result_num": 2, 

"log_id": 1438382953545048984 }