Portal
Face API
The Webit Face REST API lets you effortlessly search between millons of YouTube, Dailymotion and Vimeo videos with a single solution.
Introduction
The Webit Face API lets you effortlessly search between millons of YouTube, Dailymotion and Vimeo videos with a single solution. And it includes a FREE plan to get started with.
API testing and usage
If you want to start using the Face service or just want to test it a little, just press the buttons below.
You will need a RapidAPI account for testing production endpoints. However, the whole process is completely FREE of charge and no credit card is required.
Below is an example of a not-easy-to-detect nudity. Neural Machine performs very well and understands the image contains nudity, despite of the confusing perspective.
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{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.9999819993972778,
                "bounding_box": {
                    "start": {
                        "x": 60.262008733624455,
                        "y": 48.873873873873876
                    },
                    "end": {
                        "x": 72.63464337700145,
                        "y": 59.909909909909906
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.9999761581420898,
                "bounding_box": {
                    "start": {
                        "x": 76.85589519650655,
                        "y": 50.450450450450454
                    },
                    "end": {
                        "x": 89.95633187772926,
                        "y": 61.82432432432432
                    }
                }
            },
            {
                "face_id": 3,
                "confidence": 0.9999562501907349,
                "bounding_box": {
                    "start": {
                        "x": 9.606986899563319,
                        "y": 49.43693693693694
                    },
                    "end": {
                        "x": 21.542940320232898,
                        "y": 60.6981981981982
                    }
                }
            },
            {
                "face_id": 4,
                "confidence": 0.999932050704956,
                "bounding_box": {
                    "start": {
                        "x": 25.036390101892284,
                        "y": 50.9009009009009
                    },
                    "end": {
                        "x": 37.11790393013101,
                        "y": 61.82432432432432
                    }
                }
            },
            {
                "face_id": 5,
                "confidence": 0.9992369413375854,
                "bounding_box": {
                    "start": {
                        "x": 44.832605531295485,
                        "y": 52.13963963963964
                    },
                    "end": {
                        "x": 57.35080058224163,
                        "y": 63.06306306306306
                    }
                }
            }
        ],
        "faces_count": 5
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
Face 1
{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.999204695224762,
                "bounding_box": {
                    "start": {
                        "x": 35.42857142857143,
                        "y": 20.914285714285715
                    },
                    "end": {
                        "x": 77.14285714285714,
                        "y": 66.51428571428572
                    }
                }
            }
        ],
        "faces_count": 1
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
Face 1
Face 2
{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.9998096823692322,
                "bounding_box": {
                    "start": {
                        "x": 36.476190476190474,
                        "y": 19.428571428571427
                    },
                    "end": {
                        "x": 55.23809523809524,
                        "y": 56.142857142857146
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.9937923550605774,
                "bounding_box": {
                    "start": {
                        "x": 51.04761904761905,
                        "y": 14
                    },
                    "end": {
                        "x": 70.85714285714286,
                        "y": 48.857142857142854
                    }
                }
            }
        ],
        "faces_count": 2
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
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{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.999992847442627,
                "bounding_box": {
                    "start": {
                        "x": 7.809523809523809,
                        "y": 16.142857142857142
                    },
                    "end": {
                        "x": 16.19047619047619,
                        "y": 30.142857142857142
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.999859094619751,
                "bounding_box": {
                    "start": {
                        "x": 25.904761904761905,
                        "y": 13
                    },
                    "end": {
                        "x": 34.95238095238095,
                        "y": 28.714285714285715
                    }
                }
            },
            {
                "face_id": 3,
                "confidence": 0.9990041851997375,
                "bounding_box": {
                    "start": {
                        "x": 42.285714285714285,
                        "y": 9.571428571428571
                    },
                    "end": {
                        "x": 50.57142857142857,
                        "y": 22.428571428571427
                    }
                }
            },
            {
                "face_id": 4,
                "confidence": 0.9987057447433472,
                "bounding_box": {
                    "start": {
                        "x": 58.19047619047619,
                        "y": 23.428571428571427
                    },
                    "end": {
                        "x": 66.47619047619048,
                        "y": 36.285714285714285
                    }
                }
            },
            {
                "face_id": 5,
                "confidence": 0.9926742911338806,
                "bounding_box": {
                    "start": {
                        "x": 81.52380952380952,
                        "y": 0
                    },
                    "end": {
                        "x": 93.04761904761905,
                        "y": 11
                    }
                }
            }
        ],
        "faces_count": 5
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
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