Fixed Table

Extracts tables with a fixed number of columns and returns their collated column contents. Anchor either on the table title or on a table column heading.

Use the Fixed Table method for tables in the same document type that always have the same column layout (same headings in the same order, same number of columns).

For alternatives to this method, see Choosing a table method.

Parameters
Examples
Notes

Parameters

Note: For the full list of parameters available for this method, see Global parameters for methods. The following table shows parameters most relevant to or specific to this method.

keyvaluedescription
id (required)fixedTableWhen you specify this, you must also specify "type": "table" in the field's parameters. See the Stop parameter for details about how Sensible recognizes a table.
columnCount (required)integerThe number of columns the tables must have.
columns (required)arrayAn array of objects with the following parameters:
-id (required): The ID for the column in the extraction output
- index (required): The zero-based column index
-type : The table cell's type. For more information, see Types
-isRequired (default: false): If true, Sensible omits a row if its cell is empty in this column, or if the contents don't match the value you specify in this column's Type parameter. If false, Sensible returns nulls for empty cells in the row. Note that if you set this parameter to true for one column, Sensible omits the row for all columns, even if the row had content under other columns.
stopMatch object or array of Match objects. default: none(Recommended) Stops table recognition at the matched line. Otherwise, Sensible searches all pages for tables, which can impact performance.
When you specify a stop, Sensible uses an Amazon Web Service provider to perform table recognition. When you omit a stop, Sensible uses a Microsoft OCR provider.
When you specify a stop, Sensible supports:
- merged cells in tables. Sensible populates "empty" spanned cells with the spanned value. For an example, see Merged cell example.
- checkboxes in cells. Returns checkbox selection status as [true] or [false].
startOnRowinteger. default: 0Zero-indexed row number at which to start table extraction. For example, use this to exclude column headings from the output. As a stricter alternative, set the Is Required parameter on a column and set a type on the column (see example in Examples section).
detectTableStructureOnlyboolean. default: falseSet this parameter to true to troubleshoot optional character recognition (OCR) in a table. If true, Sensible bypasses the text output by the table recognition OCR provider. Sensible instead recognizes the table's text using the OCR engine specified by your document type, or by using text embedded in the document file if present.

Examples

The following example shows extracting two columns from a fixed table in the Sensible app.

  • In order to omit column headings, the config specifies "type": "number" and "isRequired": true for the column col4_rank_last_month . You can also use "startOnRow":1 to omit headings.
  • To improve performance, the config specifies a Stop parameter.

Config

{
  "fields": [
    {
      "id": "agile_risks_table",
      "anchor": "agile software",
      "type": "table",
      "method": {
        "id": "fixedTable",
        "columnCount": 4,
        "columns": [
          {
            "id": "col1_risk_description",
            "type": "string",
            "index": 0
          },
          {
            "id": "col4_rank_last_month",
            "type": "number",
            "isRequired": true,
            "index": 3
          }
        ],
        "stop": {
          "type": "startsWith",
          "text": "project managers"
        }
      }
    }
  ]
}

Example document
The following image shows the example document used with this example config:

Click to enlarge

Example documentDownload link

Output

{
  "agile_risks_table": {
    "columns": [
      {
        "id": "col1_risk_description",
        "values": [
          {
            "value": "Poor task point estimation",
            "type": "string"
          },
          {
            "value": "Poor epic scope definition",
            "type": "string"
          },
          {
            "value": "Inadequate scrum master training",
            "type": "string"
          }
        ]
      },
      {
        "id": "col4_rank_last_month",
        "values": [
          {
            "source": "2",
            "value": 2,
            "type": "number"
          },
          {
            "source": "1",
            "value": 1,
            "type": "number"
          },
          {
            "source": "3",
            "value": 3,
            "type": "number"
          }
        ]
      }
    ]
  }
}

Notes

For alternatives to this method, see Choosing a table method.