RowAlignMode

Specifies the mode to be used for aligning captured table rows back to locations in the document.

Remarks

The 'Row Align Mode' enumeration controls how Grooper requests and uses alignment information for table rows from the LLM. Each mode determines what properties are included in the JSON schema, what the LLM is asked to return, and how Grooper splits or locates table rows in the document.

• None: No alignment is performed; only the table data is requested and used as-is.
• Auto: Grooper infers row boundaries and alignment based on the positions of extracted cell values in the LLM response.
• Geometric: The LLM is asked to return explicit page number and bounding box coordinates for each row, which are used to directly extract the region.

Proper configuration of this setting improves the usability of AI-captured data for human review purposes.

Can be one of the following values:

Name	Value		Description
None	0	►	The table will not be aligned to the document. Only the table data is requested from the LLM; no alignment properties are included in the JSON schema. Table rows are used as-is, with no attempt to match or highlight them in the document. No navigation or highlighting will be available in the Data Grid or Data Viewer. Use this mode for simple tables where provenance is not important, or when alignment is not possible. Fastest extraction, but no review context or row-level navigation.
Auto	1	►	Align to the document using the positions of extracted cell values. Grooper infers the position and boundaries of each table row by analyzing the positions of extracted cell values in the LLM response. No additional properties are requested from the LLM; alignment is inferred post-extraction. Supports navigation and highlighting of rows in the Data Grid and Data Viewer. Use this mode for tables where row boundaries can be reliably determined from cell positions, and explicit geometric regions are not needed. Enables advanced features such as multi-line row handling (see MultilineRows).
Geometric	2	►	Ask the LLM to return a geometric region for each table row. This mode must be used in conjunction with the Layout Objects quoting method, which provides the location of each text segment. The JSON schema requests __pageNo and __bounds properties from the LLM for each row, specifying the page number and bounding box. Grooper uses this information to directly extract and highlight each row region from the document geometry. Most useful when the LLM or extraction process can provide precise location data, such as for visually distinct or structured tables. If the LLM returns invalid or missing coordinates, alignment will fail for that row. Use for advanced scenarios where spatial accuracy is critical, or when reviewing tables in visually complex documents.

Used By

AI Extract Table OptionsAI Table Reader