Image and video decision
FabriScan
A competent developer can build a narrow web prototype that reproduces core scanning and history features in about a week, but reproducing the native iOS app, App Store IAP flows, and any proprietary training/data behind classification would be harder and is not covered by available evidence.
View on the App Store↗$1.67/mo
$20/yr
Read off the official pricing page.
$100one-off34 h to build
$50/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 35 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All FabriScan alternatives, with the arithmetic →
What a replacement has to do
- User takes or uploads a photo → server/classifier identifies fabric type and returns material details → store scan in user history
What it still won’t have
- Native iOS app experience and App Store distribution
- On-device processing or any platform-specific optimizations
- Built-in App Store in‑app purchase flows and weekly billing option
- Polish, ratings/reviews and any proprietary training or labeled fabric dataset (not published)
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 35 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal web replacement using: React (Next.js) frontend, Node.js/Express backend, Postgres for history, and AWS S3 for image storage. Core features in scope: (1) mobile‑responsive page to capture or upload a photo, (2) backend endpoint to accept images and store them in S3, (3) integration with a third‑party vision/classification API to return fabric label(s) and confidence, (4) a mapping layer that converts labels into readable material descriptions and care instructions, (5) authenticated user accounts and a simple subscription gate (Stripe) that unlocks detailed results, and (6) scan history display. Explicitly out of scope: native iOS App Store submission, training custom ML models, and on‑device inference. Require robust error handling for upload/processing failures, retries for transient API errors, logging, and unit/integration tests covering upload, classification integration, mapping logic, and subscription checks.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Price verified on pricing page+3
- Evidence score63
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productFabric Identifier - FabriScan on App Store
- open sourcehacksider/Deep-Live-Cam
- open sourceAaronFeng753/Waifu2x-Extension-GUI
Integrity checks
What held up, and what did not.
