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Google Photos

web/mobile

2026

Sydney

Improve navigation clarity across desktop and mobile
Make AI-driven features visible and explainable
Reduce cognitive load when browsing large libraries
Support both casual and power users without separate modes

Design Goals:
Reduce cognitive load in large photo libraries
Make AI features visible, explainable, and controllable
Improve navigation clarity across desktop and mobile
Introduce conversational, contextual interactions without adding complexity

The redesign focused on information architecture, interaction patterns, and system transparency, rather than visual styling.

Key principles:

Task-based navigation
Conversational, natural-language search
Contextual actions instead of global clutter
Explicit organisation modes for advanced workflows

1. Simplified Navigation

Top-level navigation reorganised around user intent:
Photos · Search · Memories · Shared · Organise
This reduces overlap and makes “Organise” a first-class action.

2. Conversational Search (AI-Explainable)

Search supports natural language:
“Best beach photos from Spain 2023”
Results include explanations:
Found because: Location + Date + Image Quality
Dynamic filter chips allow quick refinement.

3. Dedicated Memories Hub

Memories are grouped by:
Today
Trips
Events
People

Each memory includes controls to customise or dismiss, increasing trust and relevance.

4. Contextual Photo Actions

Actions adapt based on photo type:
Portrait → Improve lighting
Group → Suggest share
Old photo → Restore
AI suggestions appear only when relevant.

5. Organise Mode
An explicit mode enables:
Multi-select actions
Batch tagging
Cleanup suggestions (duplicates, blurry images)
Inspired by Apple Photos, but surfaced more clearly.

Google Photos is a photo storage and management platform that uses machine learning to organise, surface, and search personal photo libraries at scale.

Problem:

Users struggle to:

Find specific photos quickly in large libraries
Understand why AI surfaces certain results
Organise photos beyond basic albums
Feel in control of automated behaviours

Despite advanced AI capabilities, much of the system’s intelligence remains opaque, creating friction rather than support.

Impact:
Faster photo discovery through natural-language search
Reduced cognitive load in large libraries
Increased trust in AI-driven features
Clearer mental model for organisation and sharing