Image Upscaler by VanceAI for Business
Enterprise-grade GAN-based image enhancement for high-volume digital asset workflows.
Professional-grade AI automated image and video correction for high-volume enterprise workflows.
EyeQ, formerly known as Perfectly Clear, is a technical leader in automated image and video correction. Their architecture leverages a combination of physics-based corrections and sophisticated AI models to replicate human eye perception. Unlike standard filters, EyeQ's AI Scene Detection analyzes each pixel to apply 20+ specific corrections ranging from exposure and color vibrancy to noise reduction and skin tone accuracy. By 2026, the platform has matured its 'Real-Time Video' engine, allowing for sub-millisecond per-frame enhancement, making it a critical component for streaming platforms and high-capacity photo printing labs. The technology is primarily delivered via SDKs (C++, Java, Swift) and a RESTful API, catering to developers who need to integrate professional-grade retouching into mobile apps, e-commerce platforms, or automated school/portrait photography workflows. Their market position is established as the 'gold standard' for high-volume batch processing where manual intervention is cost-prohibitive but quality cannot be compromised.
Analyzes the content of an image to identify specifically what it is (landscape, portrait, night, etc.) and applies a custom set of corrections.
Enterprise-grade GAN-based image enhancement for high-volume digital asset workflows.
Enterprise-grade alpha-matting and semantic background extraction at sub-second speeds.
Automate photo culling and editing with personalized AI models that work locally on your hardware.
Professional-Grade AI Background Isolation with Zero-Latency Edge Matting for High-Scale Production.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Locates faces, eyes, and mouths to apply specialized beautification like teeth whitening and eye enhancement without affecting the background.
A proprietary noise reduction algorithm that targets sensor noise specifically in low-light areas without losing edge detail.
Uses a massive database of human skin tones to ensure AI corrections do not shift ethnicity or natural color during exposure correction.
Enhances video content frame-by-frame while maintaining temporal consistency across the timeline.
Uses EXIF data to identify camera hardware and automatically fix wide-angle distortion and vignetting.
Recovers details in shadows and highlights that appear lost, mimicking the high dynamic range of the human eye.
Manually retouching 10,000+ student photos for skin blemishes and lighting is too slow.
Registry Updated:2/7/2026
Inconsistent lighting from different vendors makes the product grid look unprofessional.
Interior shots often have blown-out windows and dark corners.