Nanonets · Schema
Nanonets Prediction
Top-level prediction object returned by the Nanonets OCR API.
AIArtificial IntelligenceOCRDocument AIIntelligent Document ProcessingData ExtractionWorkflow AutomationComputer VisionNo-Code
Properties
| Name | Type | Description |
|---|---|---|
| id | string | Unique identifier for the prediction. |
| label | string | Label name corresponding to a field or table header configured in the model. |
| label_id | string | Unique identifier for the label as defined in the model. |
| type | string | Indicates whether the prediction is a field or a table header. |
| xmin | number | Left edge of the bounding box. |
| ymin | number | Top edge of the bounding box. |
| xmax | number | Right edge of the bounding box. |
| ymax | number | Bottom edge of the bounding box. |
| score | number | Confidence score from the model. |
| ocr_text | string | Predicted value associated with the label. |
| status | string | Status of the predicted label (typically 'correctly_predicted'). |
| validation_status | string | Present and equal to 'failed' when an approval rule did not pass; absent on success. |
| validation_message | string | Reason a label-level validation rule failed. |
| page_no | integer | Zero-indexed page number in the document. |
| cells | array | Cell predictions when this prediction is a table. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/nanonets/refs/heads/main/json-schema/nanonets-prediction-schema.json",
"title": "Nanonets Prediction",
"description": "Top-level prediction object returned by the Nanonets OCR API.",
"type": "object",
"required": ["id", "label"],
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the prediction."
},
"label": {
"type": "string",
"description": "Label name corresponding to a field or table header configured in the model."
},
"label_id": {
"type": "string",
"description": "Unique identifier for the label as defined in the model."
},
"type": {
"type": "string",
"enum": ["field", "table"],
"description": "Indicates whether the prediction is a field or a table header."
},
"xmin": { "type": "number", "description": "Left edge of the bounding box." },
"ymin": { "type": "number", "description": "Top edge of the bounding box." },
"xmax": { "type": "number", "description": "Right edge of the bounding box." },
"ymax": { "type": "number", "description": "Bottom edge of the bounding box." },
"score": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Confidence score from the model."
},
"ocr_text": {
"type": "string",
"description": "Predicted value associated with the label."
},
"status": {
"type": "string",
"description": "Status of the predicted label (typically 'correctly_predicted')."
},
"validation_status": {
"type": "string",
"enum": ["failed"],
"description": "Present and equal to 'failed' when an approval rule did not pass; absent on success."
},
"validation_message": {
"type": "string",
"description": "Reason a label-level validation rule failed."
},
"page_no": {
"type": "integer",
"description": "Zero-indexed page number in the document."
},
"cells": {
"type": "array",
"description": "Cell predictions when this prediction is a table.",
"items": {
"type": "object",
"required": ["id", "row", "col"],
"properties": {
"id": { "type": "string" },
"row": { "type": "integer" },
"col": { "type": "integer" },
"label": { "type": "string" },
"label_id": { "type": "string" },
"xmin": { "type": "number" },
"ymin": { "type": "number" },
"xmax": { "type": "number" },
"ymax": { "type": "number" },
"score": { "type": "number", "minimum": 0, "maximum": 1 },
"text": { "type": "string" },
"verification_status": { "type": "string" },
"status": { "type": "string" },
"failed_validation": { "type": "string" }
}
}
}
}
}