Document AI
Structured extraction, repeated rows, reconciliation, and hard document layouts are the first scored comparison set.
View rankingsSoftware comparisons
Tools compared by how they perform.
Yardstick Lab is a testing-first comparison site. Each category ranks tools against real tasks, visible scoring rules, and dated runs. The first live category compares document AI products for structured extraction.
1live benchmark category
50documents in the first ranked extraction set
6systems and configurations with current scores
5score components behind each ranking
Comparison model
A category shell before the rankings
Yardstick Lab starts with document AI while keeping the structure broad enough for future tested categories.
New categories need real runs
A category appears as ranked only after it has a fixed task set, visible methodology, and dated results.
Product pages follow evidence
Reviews expand only when a tool has enough run evidence to explain rank, fit, and failure modes.
First live category
Document AI leaderboard preview
The first published benchmark ranks document AI tools by structured extraction quality on the same document set.
Current leaderboard
Structured extraction score from the current 50-document run.
01
DocuPipebest overall score
97.56%
02
Direct model baselinehighest model-only run
95.80%
03
Extendleading scored runner-up
91.11%
The full results page separates product settings, direct baselines, and use-case slices.
How to compare
Rankings organized around buyer questions
The benchmark keeps each ranking tied to repeatable tests instead of feature checklists.
Which tool wins the category?
The overall score compares tools across the same task, inputs, and scoring rules.
Which tool fits this workflow?
Slice rankings separate structured extraction, repeated rows, reconciliation, and hard document cases.
Why did a tool rank there?
Reviews explain best-fit use cases, observed failure modes, run dates, and the benchmark evidence behind the rank.
Current slice leaders
Where the leading tool separates
The overall rank is useful, but the harder slices usually show why one product wins a production workflow.
Arrays
Tables and repeated items
30 array-heavy documents from the current run.
DocuPipehigh setting
97.41%
Extendsame subset
91.98%
Reconciliation
Totals and consistency checks
24 reconciliation-heavy documents from the same run.
DocuPipehigh setting
96.89%
Extendsame subset
88.20%
Hard documents
Language and layout stress
Right-to-left and CJK documents from the current run.
DocuPiperight-to-left subset
90.72%
DocuPipeCJK subset
99.12%