Verify

Compare two images instantly to verify identity

Endpoint

POST https://cloud.ooto-ai.com/api/v1.0/verify

Request Format

• Method: POST

• Content-Type: multipart/form-data

• Query Parameters: check_liveness, check_deepfake

Query Parameters

Name	Type	Required	Description
check_liveness	Boolean	No	Enable liveness detection
check_deepfake	Boolean	No	Enable deepfake detection

Authentication Headers

To access the API, you need to include the following headers in your request:

• APP-ID: Your application's unique identifier.

• APP-KEY: Your application's authentication key.

Form Data

Field	Type	Required	Description
first_selfie	File	Yes	User selfie (JPEG or PNG)
second_selfie	File	Yes	User selfie (JPEG or PNG)

Example Request (cURL)

curl -X POST --location 'https://cloud.ooto-ai.com/api/v1.0/doc/verify?check_liveness=true&check_deepfake=true' \
--header 'APP-ID: put_app_id_here' \
--header 'APP-KEY: put_app_key_here' \
--form 'first_selfie=@"/path/to/first_selfie"' \
--form 'second_selfie=@"/path/to/second_selfie"'

Replace «app_id», «app_key» with your actual credentials and the path to your doc image.

Successful Response (HTTP 200)

{
  "transactionId": "2e286eb2-7c7b-4893-9298-ce9fa4c0d7d5",
  "result": {
    "firstFace": {
      "box": {
        "x": 655,
        "y": 1083,
        "w": 937,
        "h": 1210
      },
      "landmarks": [
        [
          912,
          1580
        ],
        [
          1344,
          1583
        ],
        [
          1125,
          1835
        ],
        [
          946,
          1996
        ],
        [
          1297,
          1999
        ]
      ],
      "liveness": {
        "score": 0.9657026651967726,
        "fine": true
      },
      "deepfake": {
        "score": 0.9491408169269562,
        "fine": true
      },
      "quality": {
        "uniformity": {
          "value": 0.7976967765996249,
          "fine": true
        },
        "exposure": {
          "value": 0.6352452907096943,
          "fine": true
        },
        "contrast": {
          "value": 0.780912373462111,
          "fine": true
        },
        "flare": {
          "score": 0.026086460798978806,
          "fine": true
        },
        "blur": {
          "score": 0.000007942797310533933,
          "fine": true
        },
        "occlusion": {
          "score": 0.0005318471812643111,
          "fine": true
        },
        "macroblocks": {
          "score": 8.378465921055067e-9,
          "fine": true
        },
        "emotion": {
          "score": 0.020526384934782982,
          "fine": true
        },
        "leftEyeClosed": {
          "score": 0.004296362400054932,
          "fine": true
        },
        "rightEyeClosed": {
          "score": 0.000009238719940185547,
          "fine": true
        },
        "crfiqa": {
          "score": 0.5999192595481873,
          "fine": true
        },
        "distortion": {
          "score": 0.907139241695404,
          "fine": false
        },
        "gender": "male",
        "age": 59,
        "race": "latino hispanic",
        "pitch": 5.798101723194122,
        "yaw": -2.267319895327091,
        "roll": -0.3308084886521101
      },
      "demography": {
        "gender": "male",
        "age": 59,
        "race": "latino hispanic"
      }
    },
    "secondFace": {
      "box": {
        "x": 721,
        "y": 1090,
        "w": 887,
        "h": 1180
      },
      "landmarks": [
        [
          970,
          1475
        ],
        [
          1359,
          1545
        ],
        [
          1101,
          1734
        ],
        [
          922,
          1909
        ],
        [
          1233,
          1969
        ]
      ],
      "liveness": {
        "score": 0.9435631834637448,
        "fine": true
      },
      "deepfake": {
        "score": 0.9503215253353119,
        "fine": true
      },
      "quality": {
        "uniformity": {
          "value": 0.7449888391064861,
          "fine": true
        },
        "exposure": {
          "value": 0.5834772152336258,
          "fine": true
        },
        "contrast": {
          "value": 0.6654583274963126,
          "fine": true
        },
        "flare": {
          "score": 0.04973117262125015,
          "fine": true
        },
        "blur": {
          "score": 0.0000016207906128329341,
          "fine": true
        },
        "occlusion": {
          "score": 0.004378660582005978,
          "fine": true
        },
        "macroblocks": {
          "score": 0.0000166263180290116,
          "fine": true
        },
        "emotion": {
          "score": 0.35481420159339905,
          "fine": true
        },
        "leftEyeClosed": {
          "score": 0,
          "fine": true
        },
        "rightEyeClosed": {
          "score": 0,
          "fine": true
        },
        "crfiqa": {
          "score": 0.5890940427780151,
          "fine": true
        },
        "distortion": {
          "score": 0.3601391315460205,
          "fine": true
        },
        "gender": "male",
        "age": 42,
        "race": "middle eastern",
        "pitch": -0.25353245437145233,
        "yaw": -8.07693064212799,
        "roll": -9.988648295402527
      },
      "demography": {
        "gender": "male",
        "age": 42,
        "race": "middle eastern"
      }
    },
    "threshold": 0.75,
    "similarity": 0.878173828125,
    "same": true
  }
}

Field Explanation

templateId	ID of the most similar template found in the database
similarity	Cosine similarity between input and matched template
firstFace.liveness and secondFace.liveness	Returned if check_liveness=true
firstFace.deepfake and secondFace.deepfake	Returned if check_deepfake=true
firstFace	First face detection details
secondFace	Second face detection details

Error response (HTTP 400)

{
  "transactionId": "efb66e50-4c87-493d-b026-543dacdbe314",
  "result": {
    "status": "error",
    "code": 1,
    "info": "photo should not be empty"
  }
}

Engine & OCR Errors

Code	Info
1	photo should not be empty
2	wrong mime-type in input data
3	photo size is 0 bytes
4	can not decode image, check it is valid jpeg or png file
5	can not detect face
6	more than one face detected on photo
9	can not extract features from sample, probably it is too small

Best Practices

• Use high-quality, well-lit, frontal photos

• Make sure there’s only one visible face

• Use check_liveness in environments with higher spoofing risk

• Typical similarity threshold for a valid match: ≥ 0.75