Extracts text from an image. The acronym OCR means 'Optical Character Recognition'.
The following table resumes the configuration properties that you must set before calling this AI task.
| Property |
Google Cloud AI |
IBM Watson |
Microsoft Azure |
SAP Leonardo |
| Key |
For Cloud Vision API |
For Visual Recognition |
For Computer Vision |
For Sandbox Environment |
Taking the following image input, the table below shows the text are identified for each provider (as a JSON structure) and the time it takes for processing it.
 |
| Provider |
Output |
|
Benchmark |
| Google Cloud AI |
[{
"label": "Levi'S",
"confidence": 1,
"top": 821,
"left": 535,
"width": 139,
"height": 40,
"Info": [{
"property": "Language",
"value": "en"
}
]
}]
|
|
8305ms |
| IBM Watson |
[{
"label": "vrs",
"confidence": 0.697,
"top": 241,
"left": 153,
"width": 8,
"height": 25,
"Info": [{
"property": "line_number",
"value": "0.00000"
}]
}, {
"label": "le",
"confidence": 0.668,
"top": 247,
"left": 162,
"width": 35,
"height": 14,
"Info": [{
"property": "line_number",
"value": "0.00000"
}]
}]
|
|
9251ms |
| Microsoft Azure |
[{
"label": "Levrs",
"confidence": 0.0,
"top": 823,
"left": 538,
"width": 147,
"height": 36,
"Info": [{
"property": "Angle",
"value": "0.00000"
}, {
"property": "Language",
"value": "tr"
}, {
"property": "Orientation",
"value": "Up"
}]
}]
|
|
8496ms |
| SAP Leonardo |
[{
"label": "Levis",
"confidence": 0.955528974533081,
"top": 820,
"left": 534,
"width": 156,
"height": 39
}]
|
|
8595ms |
Another example, when the input image has clean text (reduced noise).
 |
| Provider |
Output |
|
Benchmark |
| Google Cloud AI |
[{
"label": "LEGACY",
"confidence": 1,
"top": 110,
"left": 551,
"width": 155,
"height": 34,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "MODERNIZATION",
"confidence": 1,
"top": 162,
"left": 553,
"width": 347,
"height": 35,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "WITH",
"confidence": 1,
"top": 216,
"left": 553,
"width": 77,
"height": 29,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "GENEXUS",
"confidence": 1,
"top": 216,
"left": 641,
"width": 150,
"height": 29,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "15",
"confidence": 1,
"top": 216,
"left": 823,
"width": 31,
"height": 29,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "Mlusion",
"confidence": 1,
"top": 99,
"left": 274,
"width": 24,
"height": 7,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "GeneXus",
"confidence": 1,
"top": 96,
"left": 34,
"width": 85,
"height": 3,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "it",
"confidence": 1,
"top": 136,
"left": 279,
"width": 4,
"height": 5,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "is!",
"confidence": 1,
"top": 136,
"left": 287,
"width": 8,
"height": 7,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "(0S",
"confidence": 1,
"top": 262,
"left": 291,
"width": 9,
"height": 7,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "430",
"confidence": 1,
"top": 263,
"left": 304,
"width": 9,
"height": 7,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "ees",
"confidence": 1,
"top": 263,
"left": 318,
"width": 16,
"height": 8,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "ATES",
"confidence": 1,
"top": 295,
"left": 369,
"width": 31,
"height": 18,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "RLD",
"confidence": 1,
"top": 313,
"left": 367,
"width": 20,
"height": 13,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "DOWNLOAD",
"confidence": 1,
"top": 356,
"left": 586,
"width": 106,
"height": 15,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "THE",
"confidence": 1,
"top": 356,
"left": 698,
"width": 36,
"height": 15,
"Info": [{
"property": "Language",
"value": ""
}
]
}, {
"label": "EBOOK!",
"confidence": 1,
"top": 356,
"left": 741,
"width": 69,
"height": 15,
"Info": [{
"property": "Language",
"value": ""
}
]
}]
|
|
2716ms |
| IBM Watson |
[{
"label": "gene",
"confidence": 0.7228,
"top": 92,
"left": 35,
"width": 62,
"height": 27,
"Info": [{
"property": "line_number",
"value": "0.00000"
}]
}, {
"label": "nexus",
"confidence": 0.8237,
"top": 80,
"left": 62,
"width": 68,
"height": 32,
"Info": [{
"property": "line_number",
"value": "0.00000"
}]
}, {
"label": "legacy",
"confidence": 0.9684,
"top": 111,
"left": 553,
"width": 158,
"height": 37,
"Info": [{
"property": "line_number",
"value": "1.00000"
}]
}, {
"label": "modernization",
"confidence": 0.9898,
"top": 163,
"left": 553,
"width": 351,
"height": 37,
"Info": [{
"property": "line_number",
"value": "2.00000"
}]
},
...
}]
|
|
12898ms |
| Microsoft Azure |
[{
"label": "GeneXus",
"confidence": 0,
"top": 94,
"left": 0,
"width": 126,
"height": 76,
"Info": [{
"property": "Angle",
"value": "0.00000"
}, {
"property": "Language",
"value": "en"
}, {
"property": "Orientation",
"value": "up"
}
]
}, {
"label": "WITH GENEXUSTM 15",
"confidence": 0,
"top": 216,
"left": 0,
"width": 862,
"height": 215,
"Info": [{
"property": "Angle",
"value": "0.00000"
}, {
"property": "Language",
"value": "en"
}, {
"property": "Orientation",
"value": "up"
}
]
}, {
"label": "DOWNLOAD THE EBOOK!",
"confidence": 0,
"top": 353,
"left": 0,
"width": 813,
"height": 352,
"Info": [{
"property": "Angle",
"value": "0.00000"
}, {
"property": "Language",
"value": ""
}, {
"property": "Orientation",
"value": ""
}
]
},
...
]
|
|
8496ms |
| SAP Leonardo |
[{
"label": "MODERNIZATION",
"confidence": 0.995006024837494,
"top": 159,
"left": 562,
"width": 322,
"height": 41
}, {
"label": "LEGACY",
"confidence": 0.953990995883942,
"top": 109,
"left": 551,
"width": 161,
"height": 37
}, {
"label": "Genexus",
"confidence": 0.974162995815277,
"top": 79,
"left": 30,
"width": 99,
"height": 40
}, {
"label": "DOWNLOAD",
"confidence": 0.931997001171112,
"top": 355,
"left": 586,
"width": 106,
"height": 18
}, {
"label": "GENEXUS",
"confidence": 0.976303994655609,
"top": 216,
"left": 641,
"width": 155,
"height": 30
}, {
"label": "WITH",
"confidence": 0.947585999965668,
"top": 217,
"left": 550,
"width": 83,
"height": 27
}, {
"label": "RATES",
"confidence": 0.932789027690888,
"top": 294,
"left": 364,
"width": 39,
"height": 19
}, {
"label": "EBOOK!",
"confidence": 0.912930011749268,
"top": 354,
"left": 742,
"width": 71,
"height": 19
}, {
"label": "RLD",
"confidence": 0.899074018001556,
"top": 310,
"left": 362,
"width": 28,
"height": 18
}, {
"label": "THE",
"confidence": 0.899158000946045,
"top": 356,
"left": 698,
"width": 39,
"height": 16
}, {
"label": "15",
"confidence": 0.925707995891571,
"top": 217,
"left": 826,
"width": 36,
"height": 29
}]
|
|
3780ms |
- The label assigned for an object depends on the provider used (i.e. string detection accuracy). Additional information can be found on the OutputRegion.Info field if it is given by the provider.
- Some providers are more accurate with noisy images than others (e.g. stamps on shirts). All of them work fine with clean text on the image (e.g. a scanned text).
- Maximum image file size is 10MB.
- GeneXusAI does not provide support for drawing a rectangle over an image. This action is the responsibility of the developer.
TIP: For Web applications, a good alternative can be combining HTML5 Canvas control with JavaScript with User Control object. On the other hand, for Smart Devices you could use Image Map control on which you can set the processed image as background and 'draw' square regions (i.e. set a border color on the table item of the grid).
| Platforms |
Web(.NET,.NETCore,Java), SmartDevices(Android,iOS) |
| Connectivity |
Online |
This procedure is available as of GeneXus 16.
|