Fabdose checks whether your design can be manufactured before you send the file to anyone โ your CAD files stay on your computer. Drop in a STEP file, pick a process, and get a manufacturability report in about a minute: injection molding shows undercut and draft angle locations pinned on the 3D model; CNC, sheet metal, and eight other processes flag common manufacturing rule violations.
Rule-based checks for other processes
CNC, sheet metal, and eight other processes flag common manufacturing rule violations across the whole part โ not per-face located like injection molding.
Face-level defect location
Undercuts and draft angles pinned to the exact face that has them, shown as a 3D map rather than a flat list. Deepest on injection molding.
Local geometry analysis
Your STEP/STP file is parsed and checked on your own computer. The CAD file never gets uploaded; only the written explanations are generated in the cloud.
Process comparison
Check a part against injection molding, CNC, sheet metal side by side before you commit. (Pro)
About-a-minute check
Drop a STEP file and get a manufacturability report in about a minute, depending on complexity.
Cost range estimate
A rough modeled cost range per process to compare options early.
Cross-platform
Available now on macOS (direct download) and Windows (Microsoft Store).
Fabdose looks at the actual geometry of your CAD file, not a description of it. You drop a STEP file and in about a minute it pins manufacturability problems to the exact face that has them โ undercuts and draft angles flagged face by face, shown as a 3D map you can act on. It runs on your own computer, so the design file itself never gets uploaded. That sits in a gap nobody else fills: a factory won't tell you what's wrong until after you ask for a quote, and a general chat tool can't see your geometry so it just guesses from what you type. Fabdose is built for the moment between finishing a design and committing to a quote.
It comes down to what you actually need before a quote. Enterprise DFM tools like the ones bundled with Autodesk or Siemens are built for manufacturing engineers and priced for teams. A general AI chat can't read your geometry. A factory quote takes days and tells you the problem only after you've paid for the cycle. Fabdose is the in-between: a desktop check a product designer can run alone, in about a minute, with the problem pinned to the exact face. It goes deepest on injection molding โ undercuts and draft angles at face level โ because that's where the expensive surprises happen. CNC and sheet metal are there for comparing processes side by side, and I am honest that those flag common issues rather than the same face-level geometry depth. Your CAD file stays on your computer the whole time.
Product designers and small hardware teams who design parts but don't have a manufacturing engineer sitting next to them. They finish a part in CAD, it looks right, and then they need to know whether it can actually be made before they send it to a factory. They iterate fast, they care about keeping their design files private, and they
Fabdose came out of a problem I kept hitting as a solo maker. I would finish a design and have no good way to check whether it could actually be made. The factory wouldn't say anything until after the quote. ChatGPT couldn't see the geometry, so it guessed from my description. A consultant was slow and expensive for an early concept. So I either guessed myself or waited days, and both of those kill the iteration speed that makes being early worth anything. Injection molding was where it hurt most, because the mistakes are expensive and the feedback loop is long. So I built the check I wanted: drop a STEP file, get the issues pinned face by face in about a minute, and keep the design file on your own computer.
I don't have verified, specific information about Fabdose.app in my training data to confirm its quality, features, pricing, or reputation. I cannot responsibly claim it is good or bad without reliable evidence, and I'd be fabricating details if I asserted specifics about this particular service.
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