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PlanSwift Professional


PlanSwift Professional is a construction estimating and takeoff software that helps contractors, estimators, and architects to accurately estimate construction costs and manage projects more efficiently.

Key Features:

  1. Construction Estimating: Enables users to create accurate estimates for construction projects, including labor, materials, and equipment costs.
  2. Takeoff Software: Includes advanced takeoff software, allowing users to quickly and accurately quantify materials and labor requirements from digital plans and blueprints.
  3. Digital Plan Management: Offers digital plan management capabilities, enabling users to organize, markup, and share plans and documents with team members and stakeholders.
  4. Reporting and Analytics: Provides detailed reporting and analytics capabilities, enabling users to track project costs, identify trends, and make data-driven decisions.
  5. Integration with Popular Software: Integrates with popular construction software, including Autodesk, Revit, and Procore.

Professional Features:

  1. Advanced Estimating: Offers advanced estimating features, including assemblies, conditional formulas, and custom pricing.
  2. Customizable Templates: Enables users to create customizable templates for estimating, takeoff, and reporting.
  3. Multi-User Collaboration: Supports multi-user collaboration, allowing team members to work together on estimates, takeoffs, and projects in real-time.
  4. Cloud-Based Storage: Provides cloud-based storage, enabling users to access and share files from anywhere, at any time.


  1. Improved Accuracy: Helps to improve the accuracy of construction estimates, reducing errors and mistakes.
  2. Increased Efficiency: Streamlines the estimating and takeoff process, saving time and effort
  3. Enhanced Collaboration: Facilitates collaboration and communication among team members and stakeholders, improving project outcomes.
  4. Better Decision-Making: Provides detailed reporting and analytics, enabling users to make informed, data-driven decisions