Protocol Deviation VS GalleryPlanner

GalleryPlanner is a local-first web app for planning gallery walls with real measurements, real frame sizes, and your own photos.

Instead of guessing on the floor and hoping it translates to the wall, you can set your exact wall dimensions, add your frame inventory, and design layouts to the inch before you hammer a single nail.

The app combines manual control with AI assistance:

Smart Layout can generate balanced arrangements (Grid, Masonry, Skyline, Spiral, and more), then you can refine details manually.
Smart Fill can recommend which photos should go in which frames using local analysis for composition, color harmony, and faces.
Precision tools like snapping, nudging, spacing controls, and measurement-aware positioning help you move from idea to install-ready plan.

GalleryPlanner is built with privacy in mind. Your photos stay on your device (browser storage), and core planning workflows run in-browser. No forced cloud photo uploads.

When your layout is ready, you can export outputs for real-world execution, including a printable PDF hanging guide with exact coordinates and project bundles for backup/transfer.

Questions & Answers

As answered by people managing Protocol Deviation and GalleryPlanner.

What makes your product unique?

GalleryPlanner's answer:

GalleryPlanner blends precision + privacy + AI in one tool.

True-to-scale planning: design with exact wall and frame dimensions.
Local-first by default: your personal photos stay on-device.
AI where it helps most: Smart Layout + Smart Fill accelerate decisions.
Execution-ready exports: Pro includes install-focused outputs like printable PDF hanging guides.

Bottom line: it is not just a mood-board app, it is a practical planning workflow from idea to install.

Why should a person choose your product over its competitors?

GalleryPlanner's answer:

Choose GalleryPlanner if accuracy and execution matter.

More practical than generic mockup tools: built for real frame inventory and real wall measurements.
Privacy-first workflow: no forced cloud upload of family photos.
Faster design decisions: AI-assisted layout and photo placement.
Clear value model: free core planning, plus one-time Pro for advanced AI/export workflows.

Compared with tools like ArtPlacer and other broad visual planners, GalleryPlanner is optimized for people who want to actually hang the wall confidently.

How would you describe the primary audience of your product?

GalleryPlanner's answer:

Primary audience: people planning real gallery walls in real homes.

Homeowners and renters
Families using personal photos
Design-focused DIY users
Independent interior designers/decorators

It is especially useful for anyone who wants a measurable plan, not just visual inspiration.

What's the story behind your product?

GalleryPlanner's answer:

GalleryPlanner was created by Tim Straub, a data scientist, after a real home project: turning a growing family frame collection into a clean wall layout with exact spacing.

Existing options did not meet two core needs:

precision (exact nail placement and spacing),
privacy (no unnecessary cloud photo uploads).

So he built GalleryPlanner as a local-first, measurement-accurate planner for practical, confidence-first installs.

Which are the primary technologies used for building your product?

GalleryPlanner's answer:

Core stack

React 19 + TypeScript + Vite
CSS Modules UI architecture
IndexedDB/browser storage for local-first persistence

Feature stack

TensorFlow.js tooling for on-device photo analysis
Clerk for account/auth flows
Lemon Squeezy for Pro purchase and entitlement workflows

Who are some of the biggest customers of your product?

GalleryPlanner's answer:

DIY homeowners
families planning personal gallery walls
independent interior designers using client previews

Compare Protocol Deviation VS GalleryPlanner and see what are their differences