PredictTemplateModel
模板服务预测目前包括两种类型：自定义KV模板和自定义表格模板
服务地址：
华北2（北京）
输入参数
只看必填
TaskId任务ID
Content图片或pdf文件访问URL地址
BinaryToTextcontent字段是图片URL时：false
请选择布尔值
Body图片base64编码内容
插件下载了解更多
VS Code 插件
安装插件之前，确保已安装 VS Code安装插件之前，确保已安装 VS Code
Alibaba Cloud Developer ToolkitbetaAlibaba Cloud OpenAPI
Alibaba Cloud Developer Toolkit is a collection of extensions that can help access Alibaba Cloud services in Visual Studio Code.
安 装
JetBrains 插件
安装插件之前，确保已安装 JetBrains IDE安装插件之前，确保已安装 JetBrains IDE
Alibaba Cloud Developer ToolkitbetaAlibaba Cloud OpenAPI
The Alibaba Cloud Developer Toolkit for JetBrains makes it easier to access Alibaba Cloud services.
安 装

请求参数

字段名称字段详情
TaskIdinteger<int64>

任务 ID

注意 该字段类型为 Long，在序列化/反序列化的过程中可能导致精度丢失，请注意数值不得大于 9007199254740991。
示例值:1
Contentstring

图片或 pdf 文件访问 URL 地址

示例值:https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/demo.png
BinaryToTextboolean

content 字段是图片 URL 时：false展开详情

示例值:false：表示content传入的是url true：表示body是直接传入图片进行base64的内容
Bodystring

图片 base64 编码内容

示例值:data:image/png;base64,xxxxx

请求说明

content 字段和 body 字段传参二选一，图片 URL 则 content 为图片访问地址。内容为 base64 编码则传参 body，且 BinaryToText 传 true。

pdf 限制 20Mb 10 页 除长文档类型的模型预测以外，其他预测服务只会取第一页进行预测。

返回参数

字段名称字段详情
RequestIdstring

Id of the request

示例值:F25FBAB4-665A-5D85-8AEF-39AE29F7D588
Dataobject

返回数据

示例值:{ "score": 0.9091, "data": [ { "prob": 1, "fieldName": "姓名", "fieldWordRaw": "方大呆", "wordInfo": [ { "prob": 0.9899999999999999, "location": [ { "x": 119, "y": 48 }, { "x": 199, "y": 48 }, { "x": 199, "y": 69 }, { "x": 119, "y": 69 } ], "word": "方大呆", "charInfo": [ { "prob": 0.99, "location": [ { "x": 119, "y": 48 }, { "x": 142, "y": 48 }, { "x": 142, "y": 67 }, { "x": 119, "y": 67 } ], "word": "方" }, { "prob": 0.99, "location": [ { "x": 142, "y": 48 }, { "x": 165, "y": 48 }, { "x": 165, "y": 67 }, { "x": 142, "y": 67 } ], "word": "大" }, { "prob": 0.99, "location": [ { "x": 167, "y": 48 }, { "x": 197, "y": 48 }, { "x": 197, "y": 67 }, { "x": 167, "y": 67 } ], "word": "呆" } ] } ], "location": [ { "x": 119, "y": 48 }, { "x": 199, "y": 48 }, { "x": 199, "y": 69 }, { "x": 119, "y": 69 } ], "fieldWord": "方大呆" }, { "prob": 1, "fieldName": "性别", "fieldWordRaw": "男", "wordInfo": [ { "prob": 0.99, "location": [ { "x": 117, "y": 93 }, { "x": 142, "y": 93 }, { "x": 142, "y": 112 }, { "x": 117, "y": 112 } ], "word": "男", "charInfo": [ { "prob": 0.99, "location": [ { "x": 117, "y": 93 }, { "x": 142, "y": 93 }, { "x": 142, "y": 112 }, { "x": 117, "y": 112 } ], "word": "男" } ] } ], "location": [ { "x": 117, "y": 93 }, { "x": 142, "y": 93 }, { "x": 142, "y": 112 }, { "x": 117, "y": 112 } ], "fieldWord": "男" }, { "prob": 1, "fieldName": "身份证号", "fieldWordRaw": "310101********3222", "wordInfo": [ { "prob": 0.9899999999999998, "location": [ { "x": 206, "y": 301 }, { "x": 518, "y": 301 }, { "x": 518, "y": 320 }, { "x": 206, "y": 320 } ], "word": "310101198610203222", "charInfo": [ { "prob": 0.99, "location": [ { "x": 206, "y": 302 }, { "x": 223, "y": 302 }, { "x": 223, "y": 319 }, { "x": 206, "y": 319 } ], "word": "3" }, { "prob": 0.99, "location": [ { "x": 223, "y": 302 }, { "x": 238, "y": 302 }, { "x": 238, "y": 319 }, { "x": 223, "y": 319 } ], "word": "1" }, { "prob": 0.99, "location": [ { "x": 240, "y": 302 }, { "x": 255, "y": 302 }, { "x": 255, "y": 319 }, { "x": 240, "y": 319 } ], "word": "0" }, { "prob": 0.99, "location": [ { "x": 259, "y": 302 }, { "x": 274, "y": 302 }, { "x": 274, "y": 319 }, { "x": 259, "y": 319 } ], "word": "1" }, { "prob": 0.99, "location": [ { "x": 276, "y": 302 }, { "x": 291, "y": 302 }, { "x": 291, "y": 319 }, { "x": 276, "y": 319 } ], "word": "0" }, { "prob": 0.99, "location": [ { "x": 292, "y": 302 }, { "x": 307, "y": 302 }, { "x": 307, "y": 319 }, { "x": 292, "y": 319 } ], "word": "1" }, { "prob": 0.99, "location": [ { "x": 311, "y": 302 }, { "x": 326, "y": 302 }, { "x": 326, "y": 319 }, { "x": 311, "y": 319 } ], "word": "1" }, { "prob": 0.99, "location": [ { "x": 328, "y": 302 }, { "x": 343, "y": 302 }, { "x": 343, "y": 319 }, { "x": 328, "y": 319 } ], "word": "9" }, { "prob": 0.99, "location": [ { "x": 344, "y": 302 }, { "x": 359, "y": 302 }, { "x": 359, "y": 319 }, { "x": 344, "y": 319 } ], "word": "8" }, { "prob": 0.99, "location": [ { "x": 361, "y": 302 }, { "x": 376, "y": 302 }, { "x": 376, "y": 319 }, { "x": 361, "y": 319 } ], "word": "6" }, { "prob": 0.99, "location": [ { "x": 380, "y": 302 }, { "x": 395, "y": 302 }, { "x": 395, "y": 319 }, { "x": 380, "y": 319 } ], "word": "1" }, { "prob": 0.99, "location": [ { "x": 396, "y": 302 }, { "x": 411, "y": 302 }, { "x": 411, "y": 319 }, { "x": 396, "y": 319 } ], "word": "0" }, { "prob": 0.99, "location": [ { "x": 415, "y": 302 }, { "x": 430, "y": 302 }, { "x": 430, "y": 319 }, { "x": 415, "y": 319 } ], "word": "2" }, { "prob": 0.99, "location": [ { "x": 432, "y": 302 }, { "x": 447, "y": 302 }, { "x": 447, "y": 319 }, { "x": 432, "y": 319 } ], "word": "0" }, { "prob": 0.99, "location": [ { "x": 448, "y": 302 }, { "x": 463, "y": 302 }, { "x": 463, "y": 319 }, { "x": 448, "y": 319 } ], "word": "3" }, { "prob": 0.99, "location": [ { "x": 467, "y": 302 }, { "x": 482, "y": 302 }, { "x": 482, "y": 319 }, { "x": 467, "y": 319 } ], "word": "2" }, { "prob": 0.99, "location": [ { "x": 484, "y": 302 }, { "x": 499, "y": 302 }, { "x": 499, "y": 319 }, { "x": 484, "y": 319 } ], "word": "2" }, { "prob": 0.99, "location": [ { "x": 501, "y": 302 }, { "x": 516, "y": 302 }, { "x": 516, "y": 319 }, { "x": 501, "y": 319 } ], "word": "2" } ] } ], "location": [ { "x": 206, "y": 301 }, { "x": 518, "y": 301 }, { "x": 518, "y": 320 }, { "x": 206, "y": 320 } ], "fieldWord": "310101198610203222" }, { "prob": 1, "fieldName": "名族", "fieldWordRaw": "汉", "wordInfo": [ { "prob": 0.99, "location": [ { "x": 232, "y": 94 }, { "x": 259, "y": 94 }, { "x": 259, "y": 112 }, { "x": 232, "y": 112 } ], "word": "汉", "charInfo": [ { "prob": 0.99, "location": [ { "x": 232, "y": 94 }, { "x": 259, "y": 94 }, { "x": 259, "y": 112 }, { "x": 232, "y": 112 } ], "word": "汉" } ] } ], "location": [ { "x": 232, "y": 94 }, { "x": 259, "y": 94 }, { "x": 259, "y": 112 }, { "x": 232, "y": 112 } ], "fieldWord": "汉" } ], "specificType": "infoCustomeKvTemp", "width": 586, "angle": 0, "classType": "template", "height": 374, "predictFile": "https://doc-automl-public.oss-cn-hangzhou.aliyuncs.com/demo/demo.png" }
Messagestring

返回消息

示例值:successful
Codestring

状态码。说明 200 表示成功。

示例值:200

返回说明

模板服务预测接口，返回 Data 字段解释说明：
score         预测服务置信度 0-1 
data.         算法返回的预测结果，数组格式
prob          算法结果置信度 0-1 
fieldName     抽取 key
fieldWord     抽取 value
location      抽取结果坐标位置  { "x": 119,"y": 48  }表示页面坐标点
wordInfo      抽取内容详细信息，包括了每个字符的位置信息
specificType  算法类型（infoCustomeKvTemp:自定义 KV 模板，infoCustomeTableTemp:自定义表格模板，ocr_infoExtractBill:信息抽取 OCR 识别，infoExtractBill:单据票证抽取，infoExtractDoc:长文档信息抽取 ）
classType     模型预测服务、模板预测服务
predictFile   预测文件地址（失效时间 60 分钟）
变更历史
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