Cloudmersive · Schema
PhotoToWordsWithLocationResult
Result of an photo to words-with-location OCR operation
BarcodesConversionDocumentsImage RecognitionNatural-LanguageOCRProcessingValidationVirus Scanning
Properties
| Name | Type | Description |
|---|---|---|
| Successful | boolean | True if successful, false otherwise |
| TextElements | array | Word elements in the image |
| DiagnosticImage | string | Typically null. To analyze OCR performance, enable diagnostic mode by adding the HTTP header "DiagnosticMode" with the value "true". When this is true, a diagnostic image showing the details of the OC |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/cloudmersive/json-schema/cloudmersive-photo-to-words-with-location-result-schema.json",
"title": "PhotoToWordsWithLocationResult",
"description": "Result of an photo to words-with-location OCR operation",
"x-generated": "2026-11-05",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/cloudmersive-imageocr-api-openapi.yml#/components/schemas/PhotoToWordsWithLocationResult",
"type": "object",
"properties": {
"Successful": {
"description": "True if successful, false otherwise",
"type": "boolean"
},
"TextElements": {
"description": "Word elements in the image",
"type": "array",
"items": {
"$ref": "#/$defs/OcrPhotoTextElement"
}
},
"DiagnosticImage": {
"format": "byte",
"description": "Typically null. To analyze OCR performance, enable diagnostic mode by adding the HTTP header \"DiagnosticMode\" with the value \"true\". When this is true, a diagnostic image showing the details of the OCR result will be set in PNG format into DiagnosticImage.",
"type": "string"
}
},
"$defs": {
"OcrPhotoTextElement": {
"description": "A single text in an OCR document",
"type": "object",
"properties": {
"Text": {
"description": "Text of the word",
"type": "string"
},
"XLeft": {
"format": "int32",
"description": "X location of the left edge of the word in pixels",
"type": "integer"
},
"YTop": {
"format": "int32",
"description": "Y location of the top edge of the word in pixels",
"type": "integer"
},
"Width": {
"format": "int32",
"description": "Width of the word in pixels",
"type": "integer"
},
"Height": {
"format": "int32",
"description": "Height of the word in pixels",
"type": "integer"
},
"BoundingPoints": {
"description": "Points that form the bounding polygon around the text",
"type": "array",
"items": {
"$ref": "#/$defs/Point"
}
},
"ConfidenceLevel": {
"format": "double",
"description": "Confidence level of the machine learning result; possible values are 0.0 (lowest accuracy) - 1.0 (highest accuracy)",
"type": "number"
}
}
},
"Point": {
"description": "Point location in 2D in an image, where 0, 0 represents the top/left corner of the image",
"type": "object",
"properties": {
"X": {
"format": "int32",
"description": "X location in 2D in the image, where 0 represents the left edge of the image",
"type": "integer"
},
"Y": {
"format": "int32",
"description": "Y location in 2D in the image, where 0 represents the top edge of the image",
"type": "integer"
}
}
}
}
}
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