All work
UX/UIAI Workflow2026· AI SaaS · Consumer

Revive.AI

An AI-powered photo restoration platform that turns faded, damaged and black-and-white photos into vivid, sharp memories in under a minute.

Type

Self-initiated

Role

Product Designer & No-Code Developer

Timeline

7 weeks

Platform

Web App · Responsive

/ Overview

Services

Product Design · UX/UI · AI Workflow · No-Code Development

Deliverables

End-to-end SaaS app, landing page, credits & pricing system

Industry

AI SaaS · Consumer

Revive.AI restores old and damaged photos using AI — colorization, face restoration and 4× upscaling, delivered as a self-serve SaaS. I designed the full product end-to-end: upload and editing flow, restoration intensity controls, personal library, credits-based pricing and the marketing site — and built it with No-Code tooling integrated with Replicate's AI models.

/ Challenge

The
challenge

A multi-stage AI pipeline — analysis, colorization, face restoration, 4× upscaling, export — had to feel like one calm, sub-minute flow for people who have never used an AI tool before.

The pricing model is per-photo credits rather than a subscription. Onboarding had to feel generous rather than metered: 5 free credits, no credit card, credits that never expire.

/ User flow

Restoring a photo

A multi-stage AI pipeline, shaped so that someone who has never used an AI tool meets it as one uninterrupted flow.

Home
Browse freely · no login required
Upload
Sign-in asked here, not on arrival
Processing
Analysis → colour → faces → 4× upscale
Compare
Before and after, side by side
Credits left?

Yes

Download
Print-ready file at 4× resolution

No

Buy credits
Paddle checkout
Download
Print-ready file at 4× resolution

Sign-in is asked at upload and payment at download — never on arrival. The result is on screen before anything is asked for.

/ Approach

How we
got there

01

Smart Analysis

AI reads each photo's damage, era and tonality first, so every restoration is tuned to the image instead of a one-size preset.

02

AI Colorization

Historically-grounded color, driven by deep-learning models that respect skin tones, fabrics and period palettes.

03

Face Restoration

Eyes, skin texture and expressions reconstructed with realism — the moment people recognize the person again.

04

4× Upscaling & Export

A final crisp, print-ready file at 4× resolution, ready to frame, share or archive.

/ Selected screens

The work

Kids Picking Oranges, 1938 - Before

Kids Picking Oranges, 1938 - Before

Kids Picking Oranges, 1938 - After

Kids Picking Oranges, 1938 - After

Clint Eastwood ("The Good, The Bad, and The Ugly" - 1966) - Before

Clint Eastwood ("The Good, The Bad, and The Ugly" - 1966) - Before

Clint Eastwood ("The Good, The Bad, and The Ugly" - 1966) - After

Clint Eastwood ("The Good, The Bad, and The Ugly" - 1966) - After

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UX/UI · 2026 →