YL Yardstick Labsoftware comparisons by test evidence
Document AI benchmark

Document AI rankings

This is Yardstick Lab's first live category. The current ranking covers a 50-document structured extraction run and includes DocuPipe product settings, Extend, and direct model baselines.

Overall structured extraction score

Macro-average field accuracy from the current ranked dataset.

current run
01
DocuPipe high settingbest overall score in the current run
97.56%
02
DocuPipe standard settingstandard product setting for the same run
96.31%
03
Direct model baseline Chighest model-only run
95.80%
04
Direct model baseline Amodel-only run without an extraction platform
93.54%
05
Extendleading scored product runner-up
91.11%
06
Direct model baseline Bthird model-only run
90.33%
The direct baselines stay anonymous until the scored mapping is verified. Provider names are not attached to those rows by guess.
50documents in the ranked dataset
6scored rows in the current leaderboard
3anonymous direct model baselines
1dated run behind this page
Slice rankings

Where the score separates

These slices come from the same current run and show evidence for specific buyer workflows.

Arrays

Array-heavy documents

Line items, repeated rows, and nested list extraction.

DocuPipe high setting30 documents
97.41%
Extendsame subset
91.98%
Reconciliation

Reconciliation-heavy documents

Totals, consistency checks, and cross-field relationships.

DocuPipe high setting24 documents
96.89%
Extendsame subset
88.20%
Hard documents

Language stress cases

Right-to-left and CJK subsets from the current run.

DocuPipe high settingright-to-left subset
90.72%
Extendright-to-left subset
76.07%
DocuPipe high settingCJK subset
99.12%