Floor Plan APIs Compared: Scan-Based, Vectorization & Generative (2026)

Why "Floor Plan API" Means Three Different Things

Search for "floor plan API" and you will find products that share a name but almost nothing else. A developer building an MLS listing pipeline, an architect digitizing a filing cabinet of paper drawings, and a proptech founder automating marketing visuals are all typing the same query — and they need three completely different tools.

As of August 2026, the programmatic floor plan market splits into three categories:

1. Scan-based capture — someone physically walks the property with a phone, and the service turns the scan into a professional floor plan. CubiCasa is the reference provider.
2. Raster vectorization — an existing floor-plan image goes in, and structured vector or CAD data (rooms, walls, DXF/IFC files) comes out. RasterScan is the clearest example with a real developer API.
3. Generative conversion — a rough sketch or photo goes in, and a clean, marketing-grade floor plan image comes out in seconds. This is where Roomagen's floor plan API sits, alongside its browser tools for sketch-to-floor-plan conversion, floor plan to 3D rendering, and floor plan colorization.

Here is the taxonomy at a glance:

Category	Input	Output	Representative	Pricing signal	Needs site visit?
Scan-based capture	On-site mobile scan (LiDAR/video)	Professional 2D/3D floor plan	CubiCasa	A$15 – A$99 per plan (retail, AUD); API pricing unpublished	Yes
Raster vectorization	Existing floor-plan image	Vector/CAD data — rooms, walls, DXF/IFC	RasterScan	RapidAPI subscription or on-prem Docker	No
Generative conversion	Hand sketch, photo, or existing plan	Marketing-grade floor plan image	Roomagen	$0.20 – $0.25 per image, prepaid	No

The "needs site visit" column is the single most important row in that table. It determines whether your workflow can be fully automated (categories 2 and 3) or must include a human standing inside the property (category 1). Everything else — pricing, output format, turnaround — flows from that distinction.

This comparison covers each category in depth, names the consumer tools that look like APIs but are not, and ends with a decision matrix and cost scenarios at 10, 100, and 1,000 plans per month.

Scan-Based Capture: CubiCasa

CubiCasa is the established name in mobile floor plan scanning. An agent, photographer, or homeowner walks through the property with the CubiCasa mobile app — using LiDAR or video capture — and the service processes the scan into a professional floor plan. The company publishes a developer program that includes an API and a white-label mobile SDK, so proptech platforms can embed the scanning workflow inside their own apps.

What is verified about the developer offering: the API and SDK exist and are documented as a partner program. What is not published is pricing — there is no public API price list, which means any integration starts with a sales conversation.

The retail side is more transparent. CubiCasa's pricing page lists per-plan packages in Australian dollars:

Scan-based floor plan packages retail from A$15 for a Standard plan to A$30 for Plus and A$99 for Plus 3D — per plan, in AUD, and before accounting for the cost of physically visiting the property (CubiCasa Pricing).

Strengths. Scan-based capture is the only category in this comparison where the floor plan is derived from measurements of the actual building. If your listings, appraisal workflows, or property records need plans that reflect real captured geometry, this is the professional-grade route. The white-label SDK is also unique: none of the other providers here let you embed a capture experience in your own mobile app.

Limitations. The physical-presence requirement is structural, not incidental. Every plan requires a person on-site, which means scan-based capture cannot process a backlog of archived properties, cannot serve a listing where the photographer has already left, and cannot scale beyond the number of site visits your team can perform. The per-plan retail prices also exclude the real cost driver — the visit itself: travel time, scheduling, and labor. And because API pricing is unpublished, developers cannot model integration costs without contacting sales.

There is also a workflow-fit question that pricing tables do not capture. Scan-based capture assumes the floor plan is ordered before or during the listing shoot, as part of a planned visit. That fits new listings well. It fits poorly with the long tail of real demand: re-marketing a property listed two years ago, producing plans for a portfolio acquired without documentation, or responding to a buyer's request after the photographer has moved on. In those cases the property data you have — photos, old brochures, an agent's sketch — is the only input available, and a floor plan from photo workflow in the generative category is the practical alternative.

Raster Vectorization: RasterScan

RasterScan solves a different problem entirely: you already have a floor plan — as a JPEG, a PNG, a scanned page from a 1980s building file — and you need it as structured data. The service detects rooms, walls, and openings in the raster image and outputs vector and CAD-ready formats, including DXF and IFC.

Unlike most computer-vision research projects in this space, RasterScan ships a real developer product: a cloud API distributed through RapidAPI plus an on-premises Docker deployment, documented in the company's public repository. The on-prem option matters for architecture firms and government clients whose building documents cannot leave their infrastructure.

Strengths. This is the only category that produces genuine CAD/BIM interchange formats. If the destination of your floor plan is Revit, ArchiCAD, AutoCAD, or a facilities-management database, DXF/IFC output is not a nice-to-have — it is the entire job. The on-prem Docker distribution is also the strongest data-sovereignty story in this comparison.

Limitations. Two are worth naming precisely. First, the output is engineering-oriented, not marketing-oriented: vectorized walls and room polygons are the starting point for CAD work, not a finished visual you would put in a property brochure. Teams that need presentation-ready plans typically pair vectorization with a separate rendering step — or skip it entirely and use a generative floor plan redraw tool that goes straight from image to polished visual. Second, a note on sketch support that requires honesty: several third-party API directories claim RasterScan handles hand-drawn sketches, but the official documentation describes floor-plan image recognition and does not confirm sketch input. If hand sketches are your input format, verify this directly with the vendor before building on it — or treat it as unsupported.

Generative Conversion: Roomagen

The third category uses generative AI to transform a rough input — a hand-drawn sketch on graph paper, a photo of a whiteboard drawing, a dated blueprint — into a clean, presentation-ready floor plan. Roomagen operates this category as both a set of browser tools and a REST API, and to our knowledge it is the only dedicated, publicly documented sketch-to-floor-plan REST API available today. That phrasing is deliberate: scan-based and vectorization APIs are programmatic floor plan tools too, but none of them documents a public endpoint that accepts a hand sketch and returns a finished plan.

The API covers three floor plan operations, each mirroring a browser tool:

• Sketch to floor plan — converts hand-drawn sketches or photos of sketches into clean 2D plans, the API version of the sketch-to-floor-plan tool used by architects and real estate teams.
• Floor plan to 3D — renders a 2D plan as a 3D floor plan visualization, the format increasingly expected in real estate listings.
• Floor plan colorize — turns monochrome technical plans into colorized marketing plans with material and zone differentiation.

Pricing and mechanics. The API is prepaid credit-based with published rates (Roomagen Floor Plan API):

Prepaid pack	Price	Effective per image
500 images	$125	$0.25
2,500 images	$550	$0.22
10,000 images	$2,000	$0.20
50,000+ images	Custom	Negotiated
Developer tier	$0	50 watermarked calls/month

Jobs complete in 10 – 40 seconds. Integration follows the standard async-job pattern: submit a job, then either receive a webhook when the result is ready or poll the job endpoint — webhooks are the right choice for pipeline automation, polling for quick scripts. A job submission is a single request:

curl -X POST https://api.roomagen.com/api/v1/jobs \
  -H "X-Api-Key: YOUR_KEY" \
  -d '{"tool": "sketch-to-floor-plan", "imageUrl": "https://.../sketch.jpg"}'

Strengths. No site visit, no existing CAD file, no minimum input quality beyond a legible sketch or photo. Turnaround is seconds rather than a scheduling cycle, which makes the category viable inside fully automated pipelines — a listing-management platform can generate a plan the moment an agent uploads a sketch. The output is marketing-grade by design: plans intended for listings, brochures, and furnished plan renders, not CAD files. And the API surface is broader than floor plans alone — the same key covers virtual staging, photo enhancement, and the rest of Roomagen's tool set.

Limitations — read this before integrating. Generative floor plans are marketing visuals, not survey-grade documents. Measurement fidelity is approximate: the model reproduces the proportions and layout of the input sketch, and if the sketch is off, the plan is off. No generative plan should be presented as a measured survey, used for construction, or relied on for gross living area calculations. For MLS use specifically, treat dimensions as indicative and follow your MLS's accuracy and disclosure rules — if a listing requires verified dimensions, a scan-based capture or a professional measurement is the correct source, and the generative plan is the presentation layer on top. Roomagen is also the newest provider in this comparison; its public API launched in 2026, and its track record is measured in months, not years.

The No-API Tier: Consumer Sketch Converters

A cluster of consumer tools appears in the same searches but does not belong in an API comparison, because none of them documents a public API: Archybase (sketch to floor plan), floorplan.ai-architectures.com, Pixelcut's sketch converter, and Homestyler. These are browser or app experiences for one-at-a-time conversion. They can be perfectly good for a homeowner or a designer handling a single project — but there is no documented endpoint to build against, no webhook, no key management, and no published rate card for programmatic volume. If a directory listing implies otherwise, check the vendor's own documentation before planning an integration.

Two adjacent platforms deserve one honest line each. Floorplanner does publish an API, but it is a partner-gated editor-embedding product — it lets approved partners embed Floorplanner's design editor, which is a different job from converting a sketch or image into a plan. Matterport is a 3D capture ecosystem with a developer platform, but its center of gravity is immersive 3D tours rather than 2D floor plan conversion, so it sits outside this comparison's scope.

Why does this tier matter in an API comparison at all? Because it is where most "sketch to floor plan API" searches dead-end. The consumer tools rank well, look automatable, and then turn out to be interfaces without endpoints. Knowing in advance that this tier exists — and that it is a product-category boundary, not a documentation gap you can work around — saves an integration team the discovery time.

The practical takeaway: if you need programmatic conversion today, the shortlist is CubiCasa (scan), RasterScan (vectorization), and Roomagen (generative). Everything else is either a manual tool or a different product category wearing a similar name.

Decision Matrix: Which Category Fits Your Use Case

The three categories rarely compete head-to-head once the use case is specific. This matrix maps the common jobs to the right pick:

You need	Category	Pick	Why
MLS listing plans with measured accuracy	Scan-based	CubiCasa	Plans derive from on-site capture of the actual building
MLS or marketing plans without revisiting the property	Generative	Roomagen	Sketch or photo in, presentation plan out in 10 – 40 seconds
Digitizing archived paper plans into CAD/BIM	Vectorization	RasterScan	DXF/IFC output feeds Revit, AutoCAD, and FM databases
Digitizing archived plans for marketing reuse	Generative	Roomagen	Clean redraw and colorization beat raw vectors for brochures
Marketing visuals from agent hand-sketches	Generative	Roomagen	The only category with a documented sketch input path
CAD/BIM workflows with data-residency rules	Vectorization	RasterScan	On-prem Docker keeps documents inside your infrastructure
Furniture-retail or room-planning product features	Generative	Roomagen	Fast plan visualization and 3D renders at per-image cost
Embedding a full design editor in your product	Adjacent	Floorplanner	Partner-gated editor-embedding API, not a conversion service

Two patterns are worth calling out. First, the "digitize the archive" job appears twice with different answers: vectorization when the destination is CAD, generative when the destination is marketing. A blueprint-to-digital conversion for a listing brochure and a DXF extraction for a renovation project are different products, even when the input image is identical. Second, scan-based and generative are complements as often as competitors: scan when dimensional truth matters and the property is accessible; generate when speed, cost, or property access make a visit impractical, and for hand-drawn plan digitization where no scan will ever exist.

Cost Scenarios: 10, 100, and 1,000 Plans per Month

Cross-category price comparison requires care, because the units differ: CubiCasa's published prices are retail per-plan packages in AUD (API pricing is unpublished), RasterScan's cost depends on the RapidAPI plan or an on-prem license, and Roomagen publishes flat per-image rates. With those caveats stated, here is what the math allows:

Monthly volume	Scan-based (CubiCasa, retail AUD)	Generative (Roomagen, USD)	Vectorization (RasterScan)
10 plans	A$150 – A$990 + site-visit labor	$2.50 at $0.25/image (or $0 on the 50-call watermarked developer tier)	RapidAPI plan-dependent
100 plans	A$1,500 – A$9,900 + site-visit labor	$25 at $0.25/image	RapidAPI plan-dependent
1,000 plans	Contact sales — retail extrapolation is not meaningful at this volume	$200 – $220 at the $0.20 – $0.22 volume rates	Contact vendor — on-prem licensing likely relevant at this scale

Three honest footnotes on that table. The scan-based column extrapolates retail package prices, which almost certainly overstates what a volume API partner would pay — but since CubiCasa publishes no API rates, retail is the only public signal, and the unpriced site-visit labor (scheduling, travel, capture time per property) is the larger cost at every volume. The vectorization column is blank on numbers by necessity: RapidAPI tiers vary and the on-prem license is quoted, so budget only after a direct quote. The generative column assumes prepaid packs — the entry commitment is $125 for 500 images, so a 10-plan-per-month team is buying years of capacity up front rather than paying $2.50 monthly.

The structural point survives all the caveats: generative conversion is one to two orders of magnitude cheaper per plan than scan-based capture at published prices, because it eliminates the site visit. That is not a claim that it replaces scanning — it does not, wherever measured accuracy is the requirement — but for marketing output, the cost gap is decisive. Teams producing MLS-ready plan renders at volume are paying cents per plan, not tens of dollars.

The Bottom Line

"Floor plan API" is three markets, not one. Choose by input and output, not by search ranking:

• You can visit the property and need measured accuracy: CubiCasa's scan-based capture, with the industry's only white-label capture SDK — budget via sales, since API pricing is unpublished.
• You have plan images and need CAD data: RasterScan's vectorization API, with DXF/IFC output and an on-prem option — and verify sketch support directly with the vendor rather than trusting directory listings.
• You have sketches, photos, or dated plans and need marketing visuals at scale: Roomagen's generative API, at $0.20 – $0.25 per image with webhooks and 10 – 40 second turnaround — currently the only dedicated, publicly documented sketch-to-floor-plan REST API, with the honest caveat that its output is presentation-grade, not survey-grade.

The fastest way to evaluate the generative category is to test it with your own inputs. Roomagen's floor plans hub collects the browser versions of every API operation — start with the sketch-to-floor-plan tool, which gives new accounts 6 free credits, enough to convert three of your own sketches before writing a line of integration code. For API access, the floor plan API page has current documentation, pricing, and the developer-tier waitlist.