One-Click Wall Takeoffs: How Our AI Wall Tracer Turns a Floor Plan Into Linear Feet

Every estimator knows the drill. Open the floor plan, set your scale, and start clicking corners: every wall run, one segment at a time, until the whole sheet is traced. In PlanSwift, Bluebeam, or any traditional takeoff tool, wall linear footage is earned the hard way — click by click, wall by wall, sheet by sheet.

Here's what that same job looks like in Foreman AI: one click. The wall tracer reads the plan, finds the wall network — every run, every corner, interior and exterior — and lays clean wall lines over the drawing with linear footage computed against the sheet's real scale. What used to be an afternoon of clicking is a review pass.

What you actually get

• Total wall linear feet, split interior vs. exterior. That split matters because they're different money: exterior walls carry sheathing, housewrap, and different framing; interior walls carry two-sided drywall and paint. And the way we make the split is worth knowing: it's topological, not a guess based on position. A wall counts as exterior only if one of its two sides actually faces outdoors — which the system verifies by closing the building enclosure (it even extends wall ends across door and window openings to seal the outline) and then testing each side of every run. That's why it stays correct on the plans that break "outermost wall" heuristics: L-shaped notches, bump-outs, garage returns, courtyards.
• A connected wall map, not loose lines. The trace is built by thinning the model's wall prediction down to centerlines and walking it branch by branch, splitting exactly at junctions — so corners are preserved, runs meet where they should, and nothing bridges diagonally across a room.
• It respects how plans are actually drawn. Scanned and hand-drafted sheets are frequently a few degrees off-square. Instead of forcing everything to horizontal/vertical (which fights the drawing), the tracer finds the plan's own dominant angles — including rotated wings on custom homes — and straightens walls relative to those. Deliberately angled walls stay angled.
• Real scale, real numbers. The trace reports against the sheet's calibrated scale, so the LF you see is the LF you bid. Different sheets keep their own scales.
• Quantities that flow downstream. Wall LF pushes straight into framing and drywall takeoffs and on into the budget builder for pricing. There's even an instant 3D framing preview — studs at 16″ on center — built from the trace, which is the fastest sanity check we know of: if the 3D looks wrong, the trace needs a fix before the number does.

Why this isn't "AI vision" like everyone else's

Most "AI takeoff" features you'll see demoed right now are wrappers: a screenshot of your plan goes to a general-purpose vision model, and whatever it says comes back as the answer. That approach demos great and bids terribly — general models weren't trained on permit drawings, they can't respect a sheet scale, and their output isn't measurable geometry you can audit.

Our wall tracer is our own model, trained in-house on thousands of cleanly-labeled floor plans pulled from a much larger library of real U.S. permit sets — messy, dense, real-world drawings, not textbook examples. The hard part was never the network architecture; it was the training data. Hand-labeling walls on thousands of sheets is the wall everyone else hits. We built a way to generate that labeled data from real plans automatically and review it before training — and that labeling method is the part we keep in-house, because it's what makes the whole thing practical. (The full story is on our wall model page.)

The result shows up where it counts: on plans the model has never seen, it stays on the walls and ignores the clutter that wrecks simple tracers — dimension strings, symbols, hatching, title blocks — angled walls included.

Where you stay in the loop

Straight talk, same as we put on the wall model page: it's the strongest wall tracer we've seen on real permit plans, and it's not perfect. Odd wall types, unusual drafting styles, or very low-quality scans can still confuse it. That's why the trace lands as editable, on-sheet geometry — you review it, fix what needs fixing, and accept it. Every correction becomes a new human-checked training example on your kind of plans, so the model keeps sharpening on exactly the work your team does.

That's the difference between an AI that helps you bid and an AI you have to babysit: the tracer does the clicking, you keep the judgment, and the number that hits your estimate is one you've actually seen on the sheet.

Try it on your own plans

Upload a plan set, open Takeoff Studio, and click a wall. If your Tuesday afternoons currently belong to corner-clicking, this is the feature that gives them back. Start a free takeoff — no charge today.