- Automated takeoffs: Growth includes unlimited automated takeoffs for supported drawing workflows.
- Togal.CHAT: The current plan includes unlimited chat prompts for locating and working with drawing information.
- Image and symbol search: Growth includes unlimited AI-powered searches across plan sets.
- Collaboration: Teams can collaborate internally and invite external users to takeoffs.
- Business controls: The custom Business plan adds onboarding, dedicated support, quantity discounts, security options and SSO.
Togal.AI
AI-powered roofing takeoffs and measurements in minutes
Updated August 2, 2026
Togal.AI Overview
Togal.AI is a cloud-based construction takeoff platform that combines automated measurement tools, drawing search and team collaboration. Its current Growth plan covers unlimited automated takeoffs, chat prompts, image and symbol searches, and internal or external collaboration.
The custom Business tier adds onboarding, dedicated support, volume terms, security options and single sign-on for teams of four or more.
Key Features
Pricing
| Plan | Current price | Billing and scope |
|---|---|---|
| Growth | $299/user/month billed yearly | Unlimited automated takeoffs, chat prompts, image/symbol searches and collaboration |
| Business | Custom for teams of 4+ | Onboarding, dedicated support, quantity discounts, security compliance and SSO |
Pricing source: https://www.togal.ai/pricing
Pros
Competitor |
Pros |
|---|---|
| STACK | Togal.AI delivers faster automated detections for roofing takeoffs, reducing manual tracing time significantly. Roofing teams that handle multiple bids weekly find the AI-driven measurements save hours compared to STACK’s more manual workflow. The interface feels modern and requires less setup, especially for smaller contractors that want quick onboarding. |
| PlanSwift | Unlike PlanSwift’s desktop-based system, Togal.AI runs fully in the cloud, allowing roof estimators to access projects anywhere. Its AI auto-detection reduces repetitive clicking and scaling tasks. Many small to mid-sized roofing companies appreciate not managing local installs or updates across multiple computers. |
| Bluebeam Revu | Togal.AI focuses specifically on AI-driven takeoffs rather than general PDF markup. Roofing estimators benefit from automated counts and sheet comparisons without building custom tools from scratch. For teams prioritizing speed in bid turnaround, it often requires less configuration than Bluebeam’s manual measurement tools. |
| On-Screen Takeoff | Togal.AI’s automation and learning engine reduce the manual tracing that On-Screen Takeoff relies on. Roofing contractors bidding similar flat roof layouts can use repeating groups to speed up duplication. The cloud access also removes the need for server-based setups common with legacy systems. |
| RoofSnap | While RoofSnap focuses on aerial measurements, Togal.AI works directly from architectural plans, making it better suited for commercial roofing projects and complex builds. Estimators handling large-scale or multi-story jobs gain more detailed quantity breakdowns and sheet revision tracking. |
Cons
Competitor |
Cons |
|---|---|
| STACK | STACK offers deeper integrations with broader construction workflows, which may appeal to roofing firms needing full project management features. |
| PlanSwift | PlanSwift gives users very granular manual control, which experienced estimators sometimes prefer for highly complex or unusual roof designs. Togal.AI’s automation can require manual cleanup on dense or heavily annotated drawings, adding extra review time on complicated projects. |
| Bluebeam Revu | Bluebeam provides extensive document markup and collaboration tools beyond takeoffs. Togal.AI centers on AI measurement and may not replace advanced PDF editing workflows that some roofing project managers rely on during submittals and RFIs. |
| On-Screen Takeoff | On-Screen Takeoff has long-standing adoption in larger enterprises with established training processes. Roofing companies already standardized on that ecosystem may find switching requires process adjustments and retraining estimators to trust AI-driven outputs. |
| RoofSnap | RoofSnap excels at residential roofing with integrated aerial imagery and pitch reports. Togal.AI relies on plan-based inputs, so contractors focused only on small residential reroof projects may not need its advanced AI sheet detection capabilities. |
Reviews
- Reddit r/estimators: PullPush recovered 31 correctly keyed comments. Users describe time savings for area takeoffs and collaboration, but repeatedly say AI output still needs checking and may be better suited to budgets than hard bids.
- G2 Review (Rating: 4.8/5 from 60 reviews): Users value takeoff speed, usability and support; missing functions, lag and reliability issues appear among the tradeoffs.
