Labeled rows example

The following example shows using a vertical section group to capture a table that has both column labels and row labels. It also shows:

• Using the Column Selection parameter to exclude the first and last columns from the output but make their text available as anchoring information for each outputted column.
• To aid column recognition, excluding the anchor from the vertical section using the Offset Y parameter.
• To illustrate each section's range, the config includes a field that outputs the entire contents of each section.

Config

{
  "fields": [],
  "sections": [
    {
      "id": "nutrition_table",
      "range": {
        "direction": "vertical",
        /*  extract data from 2nd to 2nd-to-last columns
            treat 1st and last columns as labeling data */
        "columnSelection": [
          [
            1,
            -2
          ]
        ],
        "anchor": {
          "match": {
            "type": "equals",
            "text": "Nutrition",
            "isCaseSensitive": true
          }
        },
        "stop": "skin on",
        /* since anchor and stop occur in table, set offsets to avoid 
           cutting off table text */
        "stopOffsetY": 0.2,
        "offsetY": -0.3
      },
      "fields": [
        {
          "id": "fruit_name",
          "anchor": {
            "match": {
              "text": "nutrition",
              "type": "equals"
            }
          },
          "method": {
            "id": "row",
            "tiebreaker": "first"
          }
        },
        {
          "id": "fiber",
          "type": "number",
          "anchor": {
            "match": {
              "text": "fiber",
              "type": "startsWith"
            }
          },
          "method": {
            "id": "row",
            "tiebreaker": "first"
          }
        },
        {
          "id": "everything_in_this_section",
          "method": {
            "id": "documentRange",
            "includeAnchor": true
          },
          "anchor": {
            "match": {
              "type": "first"
            }
          }
        }
      ]
    }
  ]
}

Example document

The following image shows the data extracted by this config for the following example PDF:

Output

{
  "nutrition_table": [
    {
      "fruit_name": {
        "value": "Apple",
        "type": "string"
      },
      "fiber": {
        "source": "2.4",
        "value": 2.4,
        "type": "number"
      },
      "everything_in_this_section": {
        "type": "string",
        "value": "Nutrition Apple Notes Calories 50 Per 100 g Protein (g) 0.5 Fiber (g) 2.4 Skin on, if applicable"
      }
    },
    {
      "fruit_name": {
        "value": "Banana",
        "type": "string"
      },
      "fiber": {
        "source": "3.1",
        "value": 3.1,
        "type": "number"
      },
      "everything_in_this_section": {
        "type": "string",
        "value": "Nutrition Banana Notes Calories 90 Per 100 g Protein (g) 1.3 Fiber (g) 3.1 Skin on, if applicable"
      }
    },
    {
      "fruit_name": {
        "value": "Cantelope",
        "type": "string"
      },
      "fiber": {
        "source": "0.9",
        "value": 0.9,
        "type": "number"
      },
      "everything_in_this_section": {
        "type": "string",
        "value": "Nutrition Cantelope Notes Calories 34 Per 100 g Protein (g) 0.8 Fiber (g) 0.9 Skin on, if applicable"
      }
    }
  ]
}