This Sensible Instruct method extracts a table in a document based on your description of the table title and each of its column headers.

Tips

Try extracting all columns to get the best results. If you describe only a few of the columns, your results may be less accurate.
Try using the table titles or table column headers in the document as descriptions.
For more information about how to write descriptions, or "prompts", Query extraction tips.

Examples

Example 1

The following example shows using the Table method to extract data from an auto insurance document:

Click to enlarge

To try out this example in the Sensible app, take the following steps:

Download the following example PDF:

Example PDF Download link
Create a test document type in the Sensible app, then click the document type you created to edit it. In the document type's Reference documents tab, upload the example PDF you downloaded in a previous step.
Click the document type's Configurations tab, create a new test configuration, and click the configuration you created to edit it.
Click Sensible Instruct and create fields to extract data using the following table:

Field name	Method	Overall table description	Column IDs and descriptions
insured_vehicles_table	Table	"insured vehicles"	manufacturer - "vehicle make (not model)" year - "year of manufacture"
transactions_table	Table	"transactions for insurance account"	transaction_date - "transaction date." transaction_description - "transaction description"

For example, use the following screenshot as a guide for configuring the insured_vehicles_table field:

Click to enlarge

For the full reference for this method in SenseML, see NLP Table.