AI video editing using your footage
Complete product design, brand identity, and UI/UX for an AI-powered video editing SaaS that transforms raw clips into polished reels using semantic matching.
Overview
VoxClip is an AI-powered video editing SaaS. Users upload raw footage, record a voiceover, and the AI semantically matches narration to the best clips — automatically exporting finished reels using only the user's own footage. We designed the full product ecosystem: brand identity, marketing website, SaaS app UI, and workflow.
- Services
- Product Design, Brand, UI/UX, SaaS
- Year
- 2026
- Platform
- Web App
The challenge
Video editing is complex and intimidating. How do you make professional-grade editing accessible to anyone while maintaining the power users expect? The interface needed to feel approachable while handling sophisticated AI workflows — clip analysis, semantic matching, timeline generation, and cloud rendering.
VoxClip app interface
Our approach
We built a clean, dark-themed interface that puts the user's content front and center. The workflow is linear and guided: upload → record → match → export. The lime green accent creates visual hierarchy and signals AI activity. Every interaction reinforces the core value: your footage, your voice, one reel.
- →Dark theme with lime (#c8ff00) accent for high-contrast readability
- →6-tab app architecture: Upload, Library, Script Match, Processing, Explainer, Settings
- →Semantic AI matching powered by NVIDIA NIM — Claude Sonnet 4 + NV-CLIP
- →Real-time job tracking with cloud rendering status
App screens — upload, clip library, script matcher, processing queue
VoxClip demo reel
The outcome
VoxClip launched as a fully functional SaaS with a subscription billing model. Users can transform hours of raw footage into polished reels in minutes. The semantic matching engine consistently finds contextually appropriate clips for every line of narration.
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A text game reborn
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