AI Image Upscaler by SnapEdit
Professional-grade 4K image resolution enhancement powered by Generative AI super-resolution models.

Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
Inpaint is a specialized computer vision and AI-driven image processing suite that excels in non-destructive photo manipulation. Historically rooted in traditional algorithmic texture synthesis, the 2026 iteration leverages a hybrid architecture combining PatchMatch-based algorithms with deep neural networks for context-aware reconstruction. This dual-engine approach allows it to maintain the structural integrity of complex architectural lines while generating realistic textures for organic backgrounds like sky, grass, and skin. The tool is architected for both web-based micro-tasks and heavy-duty desktop batch processing, catering to photographers, e-commerce managers, and digital archivists. Unlike general-purpose generative AI that may create hallucinations, Inpaint focuses on local pixel reconstruction, ensuring that the final output remains an authentic representation of the original scene. Its market position in 2026 remains strong due to its 'privacy-first' desktop application which processes data locally, providing an essential alternative to cloud-only platforms for sensitive corporate and personal media assets.
Enables manual masking of the source pixels used for texture synthesis, preventing the AI from sampling irrelevant parts of the image.
Professional-grade 4K image resolution enhancement powered by Generative AI super-resolution models.
Enterprise-grade image segmentation for instant high-precision visual asset isolation.
Professional AI-native photo editing with generative AI workflows for semantic image enhancement.
Professional-grade AI bracket merging and tone mapping based on the legacy Macphun Quantum HDR Engine.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Allows users to upload multiple photos of the same scene to fill missing data from one image using actual data from another.
Uses guide lines to assist the GAN (Generative Adversarial Network) in maintaining structural continuity across edited gaps.
Automated scriptable removal of recurring objects using a static coordinate mask.
Leverages CUDA and Metal frameworks for near-instant rendering on local hardware.
AI-driven edge detection that snaps the selection marker to the boundaries of an object.
Saves selection masks as alpha channels or separate layers for iterative editing.
Removing photobombers and tourists from iconic landmarks in high-resolution vacation photos.
Registry Updated:2/7/2026
Refine edges with Eraser
Removing unsightly power lines, trash cans, or vehicles from property listing photos.
Repairing physical damage, scratches, and fold marks on digital scans of family heirlooms.