Capsula AI: iPhone app for content creation

Role: Sole Product Designer

Duration: Early 2024 (3 weeks)

Team: 1 PM, 2 iOS Developers

Domain: iOS · B2C · Creator Tools · Mobile AI

Long story short

I designed a mobile app that turns raw videos into ready-to-publish clips with automatic captions. The goal was to make subtitling fast and effortless for creators. I streamlined the workflow, added AI-powered speech-to-text, and built a simple editor for styling and timing. As a result, users could produce accurate captions in minutes instead of doing it manually.

Long story short

I designed a mobile app that turns raw videos into ready-to-publish clips with automatic captions. The goal was to make subtitling fast and effortless for creators. I streamlined the workflow, added AI-powered speech-to-text, and built a simple editor for styling and timing. As a result, users could produce accurate captions in minutes instead of doing it manually.

Context

Capsula AI is a mobile-first AI application that helps content creators generate and style video captions directly on their iPhone.

The project started from scratch - with only an idea - and was designed and shipped to the App Store within 3 weeks.

The core hypothesis was that for modern creators, the smartphone is the primary working tool, while most captioning solutions remain desktop-first or overly complex.

The goal was to deliver instant value while keeping creators in full control of quality and visual style.

! Problem

Capsula AI aimed to introduce AI into complex business workflows, but existing solutions struggled to provide reliable, usable, and trustworthy outputs in real scenarios.

AI outputs were inconsistent and hard to trust, especially in business-critical workflows.

Users lacked visibility and control over how results were generated, creating a “black box” experience.

Integrating AI into existing processes added friction instead of simplifying workflows.

Design challenges

Very tight timeline

Full design cycle and App Store launch in 3 weeks.

Mobile constraints

Large amounts of text, settings and timing on a small screen.

AI trust

Subtitles needed to be fast, accurate, customizable, and fully editable.

Solo designer

UX, UI, flows, caption editing logic, motion, onboarding, and App Store assets were fully owned by me.

Solutions

What was done and what benefits were achieved for each solution:

IOS focused

Designed around:

  • bottom navigation

  • one-hand usage

  • gesture-based interactions

Live caption preview

Captions are edited directly on top of the video, eliminating context switching and reducing friction.

Editable AI output

AI delivers instant results while allowing users to:

  • fix recognition errors

  • adjust text

  • change caption styles in real time

Minimal UI for complex tasks

A deliberately minimalist interface keeps focus on content while handling text-heavy editing on mobile.

Onboarding focused on fast value

To minimize first-time friction and ensure users experience value immediately, a lightweight onboarding flow was designed.

Research, Discovery & Validation

Capsula AI was rolled up in October 2024. For discovery & research, I used different technics:

Customer review & CustDevs, competitors analisys
Ran user tests, quick corridor tests, and customer interviews.

Prototype / MVP test
Got feedback from users through support and product analytics.

Impact & Results

Reflections and Takeaways


Designed and shipped a mobile AI caption editor from idea to App Store in just 3 weeks as a sole product designer.

Coming from a B2B SaaS background, this project was a conscious shift into consumer mobile UX, where:

  • speed matters more than configurability

  • UI should disappear rather than explain itself

  • AI only creates value when it delivers instant results with user control

This experience significantly strengthened my mobile-first and AI-driven product thinking.

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H
i, I am Viktoryia Im a Product Designer based in Europe. I design and scale complex products - from 0 production. Focused on simplifying complexity, systems thinking, and measurable impact.
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