Nigeria 🇳🇬

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Nigeria 🇳🇬

Verify if a Nigerian ID document is legit through OCR

How It Works
The endpoint is constructed as follows.
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https://api.appruve.co/v1/ocr_jobs/ng/{id_type}
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id_type should be replaced with the specific ID type. Supported ID types are passport, voter, driver_license, and national_id
The request is a multipart POST request as shown in the example below. The id_image parameter is required and the value could be a File Object or a web URL.
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curl --location --request POST 'https://api.appruve.co/v1/ocr_jobs/ng/driver_license' \
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--header 'Authorization: Bearer TOKEN' \
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--form '[email protected]"/path/ng_driver_license_1.jpg"'
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An example response is given below.
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{
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    "id_details": {
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        "front_id": {
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            "id_number": "12345678",
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            "first_name": "John",
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            "middle_name": "",
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            "last_name": "Doe",
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            "date_of_birth": "1993-05-02",
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            "gender": "M",
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            "issue_date": "2020-03-11",
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            "expiry_date": "2025-05-02",
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        },
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        "back_id": null
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    },
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    "front_id_submitted": "URL",
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    "back_id_submitted": null,
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    "front_id_face_photo": "URL",
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    "document_analyses": [
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        {
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            "type": "TEMPLATE_MATCHING",
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            "is_check_successful": true,
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            "data": null
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        }
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    ],
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    "id_confidence_score": 100
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}
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Standalone OCR

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Last modified 3mo ago

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