What is Togal.ai? A fair review.

What is Togal.ai?

The core idea is simple and it works. You upload a floor plan, Togal's model finds the rooms and spaces, draws the boundaries, measures them, and labels them from the plan text. Where a person with a PDF viewer would trace each room and type its name, Togal does the whole floor in one pass and you confirm or adjust. It also added image, text and pattern search, so you can pick a detail such as a specific door tag and have it find every other instance across the set, plus revision comparison and collaboration features.

Its shape tells you who it was built for. GCs doing conceptual and hard-bid estimating live on architectural plans and area quantities. Togal was built to make that specific job much faster, and by most accounts it does.

Who Togal.ai is for

The sweet spot is a general contractor or a GC's preconstruction team measuring spaces on floor plans. Think gross and net square footage by room type, wall lengths for partition budgets, flooring and ceiling areas, and comparing revision A to revision B to see what changed. If that is most of your takeoff, Togal is a good fit and you will feel the time savings on day one.

It is less of a fit for trade contractors whose takeoff is counts and lengths rather than areas. An electrical estimator wants devices by type, fixtures against the schedule, panel counts and feeder lengths. A plumber wants fixtures, pipe by size and material, and the riser cross-referenced to the plan. A fire sprinkler estimator wants heads by hazard and pipe. None of that is a space measurement problem, and Togal does not present itself as an MEP counting tool. That is not a criticism; it is a scoping decision, and it is fair to review a product against what it set out to do.

What Togal.ai costs

Based on public documentation as of 2026, the Growth plan is $299 per user per month, billed annually, which is $3,588 per year per estimator. A Business plan for four or more users is priced through sales. Free-trial availability has been inconsistent across sources over time, so check the current terms directly rather than trusting a third-party listing.

The thing to notice is the unit: per user. Your cost is a function of headcount, not of how many bids you run. Two estimators and a PM who wants to check the numbers is three seats. For a busy GC with a stable precon team that runs several sets a week, that is reasonable value. For a shop where bidding is lumpy, or where several people need to see the takeoff but only one produces it, seats are where the money leaks. We compare pricing models across the market at takeoff software pricing and lay out the seat-versus-plan argument at per-trade vs per-seat.

Togal.ai strengths and limitations

Based on public documentation as of 2026. Togal.ai is a trademark of its owner; this is an independent review.

Which digital takeoff product beats Togal.ai on speed and ease of use?

Let us take the two halves separately, because the honest answer is different for each.

On speed for space measurement: nothing beats Togal by much

If the task is "measure the rooms on this floor plan", Togal.ai is about as fast as this gets. One pass, confirm, done. Any tool that claims to be dramatically faster at that specific job is probably measuring a different job. We would not tell a GC who lives on area takeoff to leave Togal for speed reasons.

On speed and ease for the whole takeoff: Pilars

Ease of use is not just how nice the buttons are. It is how many steps sit between "here is the plan set" and "here is a quantity list I can price". With Togal that is still a sheet-by-sheet, confirm-as-you-go process, and for trades it is manual. With Pilars it is two steps: upload the PDF, then review. The system reads every sheet and the spec book together, resolves cross-sheet references and the door, window, fixture and equipment schedules, counts devices, measures lengths, areas and volumes, traces runs, and flags code issues against IBC, NEC, IPC, IMC, ADA and NFPA. What you get back is a takeoff summary with a confidence score on every quantity and the sheet it came from, and an Excel or BOQ export. The estimator's job becomes review, which is the part that actually needs an estimator.

On accuracy for trade work, we have one published number rather than a claim. On a real power plan, Pilars' fine-tuned model counted duplex receptacles at 97.5%. Togal.ai scored 84% on the same plan, with twelve other systems landing between 65% and 88%. The plan, the method and every score are on the duplex receptacle benchmark page. That gap is what "architectural-first" means in practice when the job is an MEP count.

And on pricing, which is a form of ease of use when you are the one approving the invoice: Pilars is $100 per trade, per plan set, unlimited users and projects. No seats, so there is no conversation about whether the PM gets a login.

So, fairly: Togal.ai for fast space measurement on architectural plans, especially for a GC precon team that runs sets every week. Pilars when you want the takeoff done rather than assisted, when your takeoff is trade quantities, or when you do not want to pay per seat. The side-by-side is at Togal.ai alternative, and there are further comparisons at Togal vs Bobyard and Togal vs Beam AI.

How to test Togal.ai, or anything else, on your own work

Do not evaluate a takeoff tool on the vendor's sample project. Pick one set you have already bid, ideally one where you know the final quantities because the job was built. Run it through the tool. Then check three things: how long it took from upload to a list you could price, how many quantities you had to correct, and whether the corrections were random or clustered in one kind of item. Random misses are noise. Clustered misses tell you what the tool cannot see.

Do that with Togal.ai on an architectural set and it will do well. Do it with a power plan or a plumbing set and you will see the scope limit quickly. The Pilars demo runs on your own set for exactly that reason, and we would rather you compare on your drawings than on ours. For the general method, see how to choose takeoff software and AI takeoff accuracy.

Questions estimators actually ask