Complete AI Media Solutions
We develop AI-powered photo and video applications with computer vision, face recognition, style transfer, content generation, and advanced editing capabilities for consumer and enterprise use.
Our AI Media Expertise
- Computer Vision image & video analysis
- AI Filters face effects & AR
- Content Generation AI-powered editing
- Object Detection recognition & tracking
What's Included
- Face Detection & Recognition
- AR Filters & Effects
- Background Removal/Replacement
- Style Transfer & Filters
- Object Detection & Tracking
- AI-Powered Editing Tools
- Content Generation (AI)
- Video Enhancement & Stabilization
- Real-time Processing
- Mobile Apps (iOS & Android)
Built for Every AI Media Use Case
Photo Editing Apps
AI-powered photo enhancement, filters, background removal, and style transfer.
Video Platforms
Video editing, effects, stabilization, and AI-generated content creation.
Face Recognition
Identity verification, attendance tracking, and security applications.
Frequently Asked Questions
What AI photo and video app features do you develop?
We develop AI-powered applications with face detection and recognition, AR filters and effects, background removal and replacement, style transfer and filters, object detection and tracking, AI-powered editing tools, content generation using AI, video enhancement and stabilization, real-time processing, and mobile apps for iOS and Android.
How much does AI photo/video app development cost?
Costs range from $70,000-$250,000+ depending on features. Basic photo editing app: $70,000-$120,000, Advanced app with AR and face tracking: $130,000-$180,000, Full video editing platform: $200,000-$250,000+. Includes design, AI model integration, real-time optimization, cloud infrastructure, and deployment.
How long does AI media app development take?
Development takes 4-7 months depending on complexity. Basic photo editing app: 4-5 months, Advanced app with AR features: 5-6 months, Full video editing platform: 6-7+ months. Timeline includes UI/UX design, AI model integration, real-time processing optimization, testing, and deployment to app stores.
Which platforms do you develop for?
We develop for iOS using Swift with Core ML, Android using Kotlin with TensorFlow Lite, and cross-platform using React Native or Flutter. Each includes native camera integration, GPU acceleration, ARKit/ARCore for AR, on-device AI for privacy and speed, cloud processing for heavy tasks, and optimized rendering.
What AI technologies and frameworks do you use?
We use TensorFlow Lite and Core ML for on-device AI, OpenCV for computer vision, MediaPipe for real-time ML, ARKit and ARCore for augmented reality, FFmpeg for video processing, Metal and Vulkan for GPU acceleration, PyTorch for custom models, Cloud Vision API and AWS Rekognition for cloud processing. All optimized for mobile devices.
Can you develop AR filters like Instagram and Snapchat?
Yes, we develop sophisticated AR filters including face masks, beauty effects, background replacement, 3D objects overlay, facial feature modification, real-time skin smoothing, virtual makeup, hair color changes, and interactive effects. We use ARKit, ARCore, and custom computer vision models for accurate tracking with 60fps performance.
How do you handle real-time processing and performance?
We optimize for real-time performance through on-device AI processing using Core ML and TensorFlow Lite, GPU acceleration with Metal and Vulkan, efficient neural networks (MobileNet, EfficientNet), 60fps target frame rate, background processing for non-critical tasks, progressive enhancement for lower-end devices, memory management, and hybrid processing. Tested across multiple devices.
Can you integrate face recognition and detection?
Yes, we integrate comprehensive face recognition: facial landmark detection for precise tracking, age and gender recognition, emotion detection and analysis, face beautification and enhancement, identity verification systems, attendance tracking, security applications, face grouping and clustering, and multi-face detection. Complies with privacy regulations.
What about cloud storage and media processing?
We implement comprehensive cloud solutions: scalable media storage with AWS S3 or Google Cloud Storage, CDN integration for fast global delivery, automatic thumbnail generation, video transcoding for multiple formats, cloud-based AI processing for heavy tasks, backup and redundancy, media library management, collaborative editing, and efficient compression. Costs optimized through caching and tiered storage.
Do you provide ongoing support and updates?
Yes, we provide comprehensive support including regular app updates for new iOS/Android versions, AI model improvements and new filter additions, performance optimization, bug fixes and crash monitoring, analytics integration, A/B testing, cloud infrastructure management, App Store and Play Store optimization, user feedback integration, and 24/7 technical support. We also help with user acquisition and monetization.
Ready to Build AI Media Apps?
Let's create intelligent photo and video applications that leverage AI and computer vision technology.
Quick Summary
Everything you need to know about building AI-powered photo and video applications with computer vision and real-time processing.
- Computer Vision AI: Object detection, scene understanding, and analysis
- AR Filters: Face tracking, effects, and interactive experiences
- Face Recognition: Detection, landmark tracking, and verification
- Real-time Processing: 60fps performance on mobile devices
- AI Editing Tools: Automated enhancement and content generation
- Cross-platform: iOS, Android, with native performance