For physical inventory that is actually used

Capture quickly.Keep the model explicit.

Eight examples of how the same open inventory system can model tools, household objects, company assets, lending equipment, collections, school devices, vehicle stock, and lab hardware.

Capture at the object

photos and codes reduce later transcription

Choose the stock model

quantity and serial tracking stay distinct

Operate it yourself

MIT-licensed code, Docker, PostgreSQL, and OpenAPI

Real-world views

Physical context. Actual interface.

The photographs show real working environments. The interface images are direct captures from the running web application with purpose-made demo content — no generated scenes and no recreated mockups.

Real photographyReal capture · demo content
A real electronics workbench with a soldering iron and circuit board
Real photography
Electronics workbench
Direct capture of batch entry in the Open Inventory web application with demo content
Real capture · demo content
Batch entry in the web application
A person checking parcels in a real warehouse setting
Real photography
Parcel inspection in a warehouse
Direct capture of an inventory detail page in the Open Inventory web application with demo content
Real capture · demo content
Inventory detail with stock and location
Tools arranged inside a real service vehicle
Real photography
Tools in a service vehicle
Sorting boxes containing screws, nails, and wall plugs in a real workshop
Real photography
Organised parts storage

Eight concrete operating contexts

One codebase, different inventory rules.

Each page describes data choices, a capture workflow, relevant features, iPhone use, and the limits of the use case. The examples use mock data and do not imply a separate industry edition.

Shared technical basis

Start with capture. Add structure when it earns its place.

Camera capture lowers the cost of the first record. Typed fields, stock transactions, assignments, labels, and APIs are available when the workflow needs more precision.

Reviewable assistance

Image analysis can propose titles, descriptions, types, and tags. A user reviews the result before relying on it.

Codes and transaction history

QR, barcodes, quantity stock, serialised units, and dated movements resolve to the same inventory model.

Native iOS client

The SwiftUI app covers camera capture, lookup, scanning, stock operations, and optional RoomPlan workflows.

MIT Open Source

Application code, iOS source, migrations, and OpenAPI live in the repository. Docker runs them on infrastructure you control.

MIT licensedSelf-hostedNo industry-specific black box

Your records, your server, and inspectable code.

Clone the repository, run the Docker stack, inspect the API contract, and decide which optional external services are appropriate for your installation.