Digizuite™ AI Tagging

Digizuite currently offers support for two services:

 

Pre-requisites:
You need your own account and subscription at Optidash. From your account, the actual API Key must be sent to Digizuite so we know where the request should be directed to.

How it works:

Digizuite offers an automation which can be triggered based on your requirements. Often it will be on all new product images being uploaded into the platform. Since this is in our automation, it is completely customized what should trigger so you could do it for certain metadata or workflow stages.

Endpoints

These endpoints are the ones which is used in the automation config further down.

Type

Endpoint

Input

Functionality

Output

Type

Endpoint

Input

Functionality

Output

Ximilar AI

https://{URL-DEPENDING-ON-DAM-VERSION}.azurewebsites.net/api/integrations/asset/invoke?clientId={SECRET_CLIENT_ID}&integrationType=ximilaraiservice&assetId=<assetid>&code={SECRET_CODE}

 

Since this is custom categories it requires a workshop to define categories and get images which corresponds to those categories for training the AI model.

  • clientId: provided by Digizuite

  • integrationType: ximilaraiservice

  • code: provided by digizuite

Sends image for tagging at ai service and returns tags.

Returns

interface DigizuiteTagResponse { status: string; // from ai service errorMessage: string; // from ai service tags: DetectTagObject[]; } interface DetectTagObject { prop: number; name: number; id: number; }

Ximiar Fashion Tagging AI

https://{URL-DEPENDING-ON-DAM-VERSION}.azurewebsites.net/api/integrations/asset/invoke?clientId={SECRET_CLIENT_ID}&integrationType=ximilargenericaiservice&assetId=<assetid>&code={SECRET_CODE}

  • clientId: provided by Digizuite

  • integrationType: ximilargenericaiservice

  • code: provided by digizuite

Sends image for tagging at ai service and returns tags.

Returns

interface DigizuiteTagResponse { status: string; // from ai service errorMessage: string; // from ai service tags: DetectTagObject[]; } interface DetectTagObject { prop: number; name: number; id: number; }

Ximiar Fashion Tagging AI

https://{URL-DEPENDING-ON-DAM-VERSION}.azurewebsites.net/api/integrations/asset/invoke?clientId={SECRET_CLIENT_ID}&integrationType=ximilarfashionaiservice&assetId=<assetid>&code={SECRET_CODE}

  • clientId: provided by Digizuite

  • integrationType: ximilarfashionaiservice

  • code: provided by digizuite

Sends image for tagging at ai service and returns tags.

Returns

interface DigizuiteTagResponse { status: string; // from ai service errorMessage: string; // from ai service tags: DetectTagObject[]; } interface DetectTagObject { prop: number; name: number; id: number; }

Inscene AI

https://{URL-DEPENDING-ON-DAM-VERSION-AND-LOCALE}-us.azurewebsites.net/api/integrations/asset/invoke?clientId={SECRET_CLIENT_ID}&integrationType=insceneaiservice&assetId=<assetid>&code={SECRET_CODE}

 

** Be aware here that Inscene AI is only supported in the US. So therefore it has its own URL ({URL-DEPENDING-ON-DAM-VERSION}-us).

  • clientId: provided by Digizuite

  • integrationType: insceneaiservice

  • code: provided by digizuite

 

Configuration

The following shows a starting point for your integration.

When you have added the below then you are good to go.