Health, home and travel decision
iCollect Everything - All Apps
A capable developer can build a useful, self-hosted replacement for core inventory features in a few weeks, but reproducing the native iOS polish, millions-item database, and AI identification will be costly; keep paying if you need those.
View on the App Store↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off58 h to build
$35/mo6 h/mo upkeep
No published price to break even against.
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 iCollect Everything - All Apps alternatives, with the arithmetic →
What a replacement has to do
- Scan or add an item, store item metadata and photos, sync to cloud, browse and filter collections, export or share items.
What it still won’t have
- Native iOS app experience and App Store distribution
- Existing large curated product database and aggregated third‑party data
- Built-in AI Identification Scanning and advanced image recognition
- Sync to the vendor's Mac app and any proprietary cloud features
- Polish and multi-device UX optimizations present in the App Store app
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
iCollect Everything - All Apps does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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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 self-hosted inventory web app using Node.js (Express), PostgreSQL, and React (or Next.js) with the following scope: user auth (email), item CRUD with up to 4 photos per item, image upload to S3-compatible storage with thumbnails, barcode/ISBN scanning via a client-side library, lookup hook to external product APIs (pluggable, mockable), CSV import/export, basic filters/sorting, and account-level cloud backup (dump/restore). Out of scope: native iOS/macOS apps, on-device advanced ML image recognition, and a large curated product database. Include error handling, input validation, server and client tests (unit + simple E2E), and deployment scripts for Docker Compose and a minimal VPS. Require logging and health endpoints.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score64
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 productiCollect Everything: Inventory App - App Store
- open sourceinventree/InvenTree
- open sourceglpi-project/glpi
Integrity checks
What held up, and what did not.
