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Mobile DevelopmentIn DevelopmentiOS, Android
ReelSnap: AI Video Clip Generator
A Flutter-based mobile application for AI-powered video clip generation. Users upload videos and the AI pipeline analyzes video content, processes audio, detects scenes, and generates optimized short clips with captions — ready for social media. Features RevenueCat subscription management, Firebase authentication, Remotion-powered caption styling, and FFmpeg video export.
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Technologies
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Key Features
iOS, Android
Platform
Key Features
AI-powered video analysis and scene detectionAutomated audio processing and transcriptionIntelligent clip generation from long-form videoRemotion-powered caption styling and overlayFFmpeg video export with configurable qualityRevenueCat subscription managementFirebase authentication
Development Highlights
Cross-platform Flutter development for iOS and AndroidMulti-stage AI video processing pipelineRemotion-powered caption stylingFFmpeg video export optimizationRevenueCat subscription integrationFirebase authentication
Technology Stack
FlutterDartFirebase AuthRevenueCatRemotionFFmpegAI/ML PipelineCloud Functions
Our Contribution
Mobile Application
Built the Flutter mobile application for iOS and Android with a streamlined user experience for video upload, processing, and clip generation.
AI Processing Pipeline
Developed the multi-stage AI pipeline — Analyzing Video, Processing Audio, Processing Scenes, Generating Clips — with real-time progress tracking for each stage.
Caption System
Integrated Remotion for caption styling with multiple templates and overlay options, allowing users to customize captions on generated clips.
Video Export
Implemented FFmpeg-based video export with configurable resolution and quality settings for social media-optimized output.
Subscription Integration
Integrated RevenueCat for subscription management with multiple plan tiers, enabling monetization through in-app purchases on both iOS and Android.
Authentication
Implemented Firebase authentication for secure user management and session handling.
Results
Platform: Cross-platform iOS and Android appAI Pipeline: Multi-stage video analysis and clip generationMonetization: RevenueCat subscription managementExport Quality: FFmpeg-optimized social media output
What Makes This Special
Transforms long-form video into social media-ready short clips through an AI-powered pipeline that handles video analysis, scene detection, clip generation, and caption styling — all from a mobile device.
Frequently Asked Questions
MicrocosmWorks built a multi-stage AI pipeline in ReelSnap that first analyzes the full video content, then processes audio for transcription and engagement scoring, detects scene changes and visual highlights, and finally generates optimized short clips at moments of peak interest. The pipeline uses ML models trained on social media engagement patterns to identify segments most likely to perform well as standalone short-form content.
MicrocosmWorks integrated Remotion for caption rendering in ReelSnap, providing multiple template styles with customizable fonts, colors, animations, and positioning. Users can preview styled captions overlaid on their clips before export, with frame-accurate synchronization to the transcribed audio. The Remotion compositions handle word-level timing so captions highlight each word as it is spoken, matching the popular styles used by top social media creators.
MicrocosmWorks implemented FFmpeg-based video export in ReelSnap with configurable resolution, bitrate, and codec settings optimized for each target platform. The export pipeline produces files that meet Instagram Reels, TikTok, and YouTube Shorts specifications without exceeding file size limits. Users can choose between quality presets that balance visual fidelity against upload speed on mobile networks.
MicrocosmWorks integrated RevenueCat for subscription management across both iOS and Android, handling in-app purchases, plan tiers, and usage tracking through a unified SDK. Free users can process a limited number of clips per month, while paid subscribers get higher processing quotas, premium caption styles, and priority rendering in the cloud pipeline. RevenueCat handles receipt validation, subscription restoration, and analytics across both app stores.
MicrocosmWorks built ReelSnap using Flutter for cross-platform development targeting both iOS and Android from a single Dart codebase. Firebase handles authentication and user session management, while the AI processing pipeline runs on cloud infrastructure to keep the mobile app lightweight. At MicrocosmWorks development rates of $20-$40/hr, Flutter-based development typically costs 35-40% less than building separate native apps.
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