Yes—layout-aware extraction preserves reading order in multi-column forms and pulls tables without scrambling fields. That means values like base rent, CAM, escrows, and prorations come through cleanly, reducing manual cleanup and downstream reconciliation.

It interprets visual elements—like scanned exhibits, annotations, charts, and embedded images—as part of the parse instead of ignoring them. This helps you capture critical constraints and terms that often live outside the main body text.

Yes—use natural-language extraction instructions to pull the specific clauses, dates, and obligations your team cares about. This reduces custom parsing code and makes it easier to standardize outputs across different templates and broker formats.

Absolutely—the output can include structured JSON plus page references and element locations for each extracted field or clause. Reviewers can jump straight to the source text, speeding up exception handling and improving auditability.

It’s designed for real-world document variation, including scans and inconsistent layouts common in leases, settlement statements, and annexures. By preserving layout and capturing both text and visual elements, it reduces the brittle edge cases that typically break automation.

You can integrate it as a parsing step that returns clean, structured JSON your systems can consume—plus citations for human review when needed. Most teams start with a small set of high-value fields or clauses, then expand coverage as they standardize instructions and outputs.