Extracting data from tables can often be time-consuming and error-prone. Affinda's advanced table extraction technology makes this process fast and reliable, even for complex layouts. Whether you're working with clean, grid-like tables or irregular, semi-structured or nested tables, our system ensures accurate results with minimal manual effort.

Editing or updating the date in tables is a simple process with powerful capabilities.

1. Create new table (if required)
2. Edit table boundary
3. Review first row
4. 'Auto-Fill Down'
5. Repeat steps 3-4 (if required)

For information about configuring table fields, see Group and Table Field Configuration.

1. Create new table (if required)

In most cases, the Affinda platform will have predicted a table that exists in the document. However, in some cases, you may need to create a new table annotation (or in the case where you delete the initial model prediction).

To do this, simply use the tool to create a box around the entire table area (excluding the table header) as you would with any other field and select the appropriate table field from the list. Once the table annotation has been created, Affinda will then predict the rows within the table and the fields within each row.

2. Edit table boundary

When a table annotation is created by the model, you may need to adjust table boundaries to ensure all relevant fields are captured. To do so, click on the table annotation and edit the boundary in any direction.

When you edit the table boundary, Affinda will re-predict the table. Any confirmed rows or fields within the table will not be re-predicted.

3. Review first row

To edit a row, click on it after first selecting the entire table.

Adjust rows

Properly setting table rows is essential for ensuring accurate data extraction. Each row should capture only the data relevant to that line. Accurate row configuration also improves the performance of future model predictions.

There are four main ways to adjust rows in the Affinda platform:

Split Rows
If a single detected row spans multiple actual rows in the document, use the Split icon (located to the right of the row) to divide it into two separate rows automatically.

Delete Rows
To remove an unwanted row from the top or bottom of the table, click the Trash icon next to that row.

Merge Rows
If a row in the middle of the table is incorrectly separated and additional rows are predicted, clicking the Trash icon will merge that row with the one directly above.

Adjust Row Boundaries
Use the draggable handles in the middle of a row to shift its boundary up or down, refining the area that each row covers.

Adjust fields

Once the row is correctly set, update any fields within the row as required. This is the same as editing other fields in the user validation interface.

4. Auto-Fill Down

Once the data in the first row is correct, click ‘Auto-Fill Down’. This feature uses the corrected row — along with any rows above it — to guide the model’s predictions for the rows below.

Instead of manually editing each row, ‘Auto-Fill Down’ allows the model to learn the structure and patterns within the table, enabling it to quickly and accurately update the remaining rows. This significantly reduces manual effort while improving overall data quality.

5. Repeat steps 3 - 4 (if required)

While editing the first row and using Auto-Fill Down often results in fully accurate table data, occasional manual corrections may still be necessary. If so, simply repeat Steps 3 and 4 — reviewing and applying Auto-Fill — on any rows that need adjustment.

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Tip: Work from top to bottom for best results

Affinda’s Auto-Fill assumes all data in the current row — and all rows above it — are correct. To ensure accurate predictions, always review and edit rows sequentially from the top of the table downward.