Extract tables from very long documents with stable row output
Built for document operations with large files and line-item-heavy data. Even when files are very long and tables are complex, output stays structured and review-ready.
Long line-item tables
Handles invoices and statements with hundreds or thousands of table rows.
Complex layouts
Merged cells, wrapped text, and uneven spacing are handled more reliably.
Built for scale
Designed for very long documents without fragile prompt-size bottlenecks.
Impeccable speed
Runs in production-friendly time for operations teams processing high volumes.
Parser setting in 5 clicks
Settings -> Parser Settings -> Parsing Configuration -> Enable advanced table extraction
Auto
Most teams and mixed document setsDigiParser decides when advanced table extraction is needed.
Enabled
Table-heavy workflowsAlways use advanced table extraction for every processed document.
Disabled
Simple and stable table layoutsTurn it off when standard extraction already works reliably.
Why long documents break generic pipelines
Generic LLM-only workflows can struggle when full-document context is too large or table continuity spans many pages.
DigiParser uses parser settings and table-aware extraction designed for document operations, so long files and large row counts remain manageable.
How to choose Auto, Enabled, or Disabled
STEP 1
If you are unsure, start with Auto.
STEP 2
If rows/columns are still inconsistent, switch to Enabled.
STEP 3
If tables are simple and stable, use Disabled.
Real document scenarios
Utility bills with short tables
Start with Auto; keep Auto or move to Disabled if output is stable.
Supplier invoices with 100+ rows
Start with Enabled and validate a sample batch for row/column accuracy.
Mixed vendor formats
Use Auto so extraction adapts per document.
If rows are still missing
1) Check table column setup in parser fields/tables.
2) Switch advanced table extraction to Enabled.
3) Re-process a known sample document.
4) Validate key columns first: quantity, unit price, total, and dates.
Tip: Test on 10-20 real documents before finalizing mode.
Enable advanced table extraction on one parser today
Start with Auto, validate real samples, and switch modes only when needed.