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Page Properties
hiddentrue
idDONE

Product Version
Report Note
Assignee

Resources & Remarks


Modification History

NameDateProduct VersionAction
Antje15 JUL 20212021 Autumncreated
Antje25 NOV 20222022 Winterupdate endpoint url



As of Versionproduct version 2021 Autumn | component version 0.32022 Winter
Request MethodPOST
Response FormatJSON
Description


Excerpt

Retrieves metadata extraction predictions for the binary content files of multiple objects identified by their objectId specified in the JSON request body.


The endpoint will return a JSON structure containing a list of predictions, one for each objectId. Each individual prediction sub-structure is structured as already described for the endpoint GET /predict-api/api/extraction/{objectId}.

Request Header

Content-Type: application/json

X-ID-TENANT-NAME: tenant_name

Request Example
/predict-api/predictapi/extraction/da20c2fb-8071-45e9-b4bf-2af376cdf9b6
Code Block
languageyml
{
    "objects": [{
        "properties": {
            "system:objectId": {
                "value": "cdc7095f-a5ce-486d-92a7-6d0955d969ee"
            },
            "appName": {
                "value": "AIInvoice"
            }
        }
    },
    {
        "properties": {
            "system:objectId": {
                "value": "da20c2fb-8071-45e9-b4bf-2af376cdf9b6"
            },
            "appName": {
                "value": "AIInvoice"
            }
        }
    }]
 
}

Result Example


Code Block
languageyml
{
    "predictions": [{
        "properties": {
            "appAIInvoice:aiiCompanyName": [
                {
                    "value": "Lufthansa",
                    "probability": 99.24,
                    "boundingBox": [
                        403,
                        729,
                        61,
                        14
                    ],
                    "page": 0
                },
                {
                    "value": "AKG Thermotechnik International GmbH & Co.KG",
                    "probability": 93.24,
                    "boundingBox": [
                        413,
                        224,
                        93,
                        14
                    ],
                    "page": 1
                }
            ],
            "appAIInvoice:aiiIssueDateTime": [
                {
                    "value": "2018-01-26T15:21:170Z",
                    "probability": 85.12,
                    "boundingBox": [
                        213,
                        234,
                        76,
                        14
                    ],
                    "page": 1
                }
            ]
        },
        "system:objectId": {
            "value": "cdc7095f-a5ce-486d-92a7-6d0955d969ee"
        },
        "predictionId": 1065
    },
    {
        "properties": {
            "appAIInvoice:aiiCompanyName": {
                "value": "Mercedes",
                "probability": 83.11
            },
            "appAIInvoice:aiiIssuedDateTime": {
                "value": "2009-10-12T14:05:020Z",
                "probability": 97.14,
                "boundingBox": [
                    313,
                    424,
                    73,
                    14
                ],
                "page": 0
            }
        },
        "system:objectId": {
            "value": "da20c2fb-8071-45e9-b4bf-2af376cdf9b6"
        },
        "predictionId": 1066
    }]
}

...