At its core, takeoff software helps construction and landscaping professionals translate scope into quantities. The goal is to turn a site or set of plans into measurable data that can be used for estimating, pricing, and planning work.
The traditional plan-based takeoff process
Historically, takeoff software has been built around project drawings. Estimators upload PDFs, blueprints, or CAD files into the software, confirm the drawing scale, and then measure areas, distances, and counts directly on-screen.
The software performs calculations automatically, converting those measurements into quantities that feed the estimating process. This approach is significantly faster than manual takeoffs, but it still depends heavily on accurate plans and manual input.
The limitations of plan-based takeoffs
While plan-based takeoff software improves efficiency, it introduces constraints. Each revision or plan change often requires re-measuring, and accuracy depends on drawing quality and estimator precision.
For landscaping and outdoor projects in particular, detailed blueprints are not always available. This can slow down estimating and limit how well takeoff workflows scale across many properties.
A newer approach: site-based takeoffs
Modern takeoff software builds on the same goal of producing accurate quantities but reduces how much manual interpretation is required. Instead of relying entirely on drawings, some platforms generate takeoffs directly from real-world site data.
This approach shifts takeoffs from measuring plans to measuring the site itself.
How Duranta’s takeoff software works
Duranta’s takeoff software interprets mapping data and aerial imagery to identify surfaces, distances, and features automatically. Measurements are generated without manual tracing or scaling, reducing both time and error.
Because the same methodology is applied consistently across every property, site-based takeoffs are faster, more reliable, and easier to scale. The end result is the same output traditional takeoff software aims for accurate quantities for estimating but achieved in a more efficient and repeatable way.