Clareon uses the ClareonNet neural network alongside Real-ESRGAN and GFPGAN to transform low-resolution footage into stunning 4K quality. 30 AI agents manage your entire upscaling pipeline with temporal consistency, intelligent color science, and GPU-accelerated batch processing.
Clareon is a desktop AI video upscaler built for professionals and enthusiasts who need to enhance video resolution without sacrificing quality. Unlike simple bicubic or Lanczos scaling that merely interpolates pixels, Clareon uses a custom-trained neural network called ClareonNet to intelligently reconstruct detail that was never present in the original footage. The result is sharp, artifact-free 4K video that looks like it was captured at that resolution natively.
At its core, Clareon integrates three distinct neural network architectures. ClareonNet handles general-purpose video enhancement with temporal awareness, ensuring frame-to-frame consistency across your entire clip. Real-ESRGAN provides industry-leading 2x and 4x upscaling with specialized models for different content types. GFPGAN adds dedicated face restoration that recovers facial details, corrects skin tones, and sharpens features even in heavily compressed or low-resolution source material.
What sets Clareon apart from command-line tools or basic upscaling plugins is its 30 AI agents. These agents analyze your footage before processing begins, determine optimal settings for each scene, manage GPU memory allocation, handle batch queues, and monitor output quality in real-time. You do not need to be a machine learning expert or spend hours tweaking parameters. Drop your files in, and the agents handle the rest.
Clareon runs entirely on your local machine. Your video files never leave your computer, and no internet connection is required during processing. The application leverages your GPU for hardware-accelerated inference, supporting both NVIDIA CUDA and DirectML for AMD cards. A typical 1080p to 4K upscale processes at 2-4 frames per second on a modern GPU, with batch mode letting you queue dozens of files overnight.
Custom-trained neural network optimized for video upscaling with temporal awareness. ClareonNet processes adjacent frames together to maintain consistency across cuts, motion sequences, and static scenes. The model was trained on over 50,000 paired video samples across diverse content types including film, animation, documentary, and screen recordings.
Industry-standard super-resolution models integrated directly into Clareon. Choose between 2x upscaling for moderate enhancement or 4x for maximum resolution boost. Real-ESRGAN excels at recovering texture detail, sharpening edges, and removing compression artifacts while preserving the natural look of your footage.
Dedicated face enhancement that detects and restores facial features in every frame. GFPGAN reconstructs eyes, skin texture, hair detail, and facial contours from degraded sources. Essential for interview footage, surveillance video, old family recordings, and any content where faces matter most.
Clareon deploys 30 specialized AI agents that manage your upscaling pipeline autonomously. Scene analysis agents detect content type and complexity. Quality control agents monitor output for artifacts. Memory management agents optimize GPU utilization. Batch coordination agents schedule and prioritize your queue.
Video is not a series of independent images. Clareon's temporal consistency engine analyzes motion vectors and frame relationships to ensure smooth transitions. No flickering between frames. No pulsating artifacts on static elements. Every frame is processed with awareness of its neighbors, delivering stable output across the entire timeline.
Neural network upscaling can shift colors and alter contrast. Clareon includes a color calibration pipeline that preserves your original color grading, maintains accurate skin tones, and prevents the washed-out look common in other upscalers. HDR-aware processing supports both SDR and HDR10 content.
Clareon is built as a dual-process application. The frontend is a Tauri-based desktop interface providing a responsive, native-feeling GUI that displays real-time previews, progress metrics, and agent status. The backend is a Nuitka-compiled processing engine that handles all neural network inference, video decoding, frame management, and file output.
The processing pipeline operates in five stages. First, the input analyzer examines your source video to determine codec, resolution, bitrate, frame rate, and content characteristics. Second, the model selector chooses the optimal neural network configuration based on content type. Third, the frame extractor decodes video into individual frames while maintaining precise timing metadata. Fourth, the neural network processes each frame through the selected model with temporal context. Fifth, the encoder reassembles the enhanced frames into your chosen output format with configurable quality settings.
Noise reduction operates as a pre-processing step before upscaling. Clareon distinguishes between film grain (which you may want to preserve) and digital noise (which degrades upscaling quality). The noise analysis agent characterizes the noise profile of your source and applies targeted denoising that cleans compression artifacts while retaining intentional texture and grain.
Clareon serves a wide range of professionals and hobbyists who need to improve video quality. Whether you are restoring decades-old family recordings, preparing content for YouTube's 4K algorithm boost, enhancing surveillance footage for evidentiary review, or upscaling animation for modern displays, Clareon delivers results that manual editing cannot achieve.
Breathe new life into VHS transfers, miniDV recordings, early digital camera footage, and film scans. Clareon reconstructs detail lost to low resolution and analog degradation, producing sharp, watchable footage from sources that were previously painful to view on modern 4K displays. Family memories deserve better than 240p blur.
YouTube's algorithm favors 4K uploads with higher engagement metrics and better thumbnail quality. Upscale your existing 1080p library to 4K for re-uploads. Enhance screen recordings and gameplay capture. Improve webcam footage that was recorded in less-than-ideal conditions. Higher resolution means more viewer retention.
Security cameras often record at 720p or lower to save storage. When incident review requires identifying details, Clareon's GFPGAN face restoration and Real-ESRGAN detail recovery can reveal license plates, faces, and environmental details that are invisible in the original footage. Not a magic bullet, but a significant improvement.
Upscale B-roll, stock footage, and archival material to match your project's native resolution. Clareon preserves film grain characteristics while enhancing detail, making it suitable for professional workflows where source material does not match the target delivery format. Export with professional codec settings.
Classic animation and older anime were produced at standard definition. Clareon handles cel-shaded art, flat colors, and line art with specialized processing that maintains sharp edges and clean color fills. The result is animation that looks remastered without the cost of manual frame-by-frame restoration.
Tutorials, presentations, and software demos recorded at lower resolutions benefit significantly from intelligent upscaling. Text remains readable, UI elements stay crisp, and the overall presentation quality improves dramatically. Ideal for repurposing older training materials for modern high-DPI displays.
Clareon is sold as a one-time lifetime license. No subscriptions, no recurring fees, no feature gating. Pay once and own the software forever with all future updates included. Every license includes 2,000 AI credits for cloud-assisted features.
Need more AI credits for cloud-assisted features? Purchase additional packs anytime.
Using Clareon requires no technical knowledge. The application is designed to deliver professional results through a streamlined three-step workflow that handles all the complexity behind the scenes.
Step 1: Import Your Video. Drag and drop any video file into the Clareon interface. The input analyzer immediately examines your source, identifying resolution, codec, noise level, and content characteristics. You will see a detailed report of what the agents detected and their recommended processing strategy.
Step 2: Choose Your Settings. Select your target resolution (2x or 4x), enable face restoration if your video contains people, and choose your output format. For most users, the default settings produce excellent results. Advanced users can fine-tune denoising strength, model selection, output codec, and quality parameters.
Step 3: Process and Export. Click process and let the 30 AI agents handle everything. Real-time progress shows estimated time remaining, current frame, GPU utilization, and memory usage. A side-by-side preview updates periodically so you can see quality improvements as they happen. When complete, your enhanced video is saved to your chosen output directory.
For batch workflows, add multiple files to the queue with individual or shared settings. Clareon processes them sequentially, freeing you to work on other tasks or let it run overnight. Each file gets its own quality report upon completion.
Traditional upscaling methods like bicubic and Lanczos interpolation simply calculate intermediate pixel values from surrounding pixels. The result is always softer than the original because no new detail is created. These methods have been the default for decades, and they produce acceptable results for small scale factors, but they fall apart at 2x and beyond.
Clareon's neural network approach is fundamentally different. The models have learned from millions of image pairs what high-resolution detail looks like for different types of content. When processing a frame, ClareonNet does not interpolate — it predicts what the high-resolution version of that frame should look like based on patterns learned during training. This is why neural network upscaling can recover texture detail, sharpen edges, and produce results that genuinely look higher resolution.
The 30-agent system adds a layer of intelligence that standalone models lack. Individual neural networks process frames in isolation. Clareon's agents coordinate across your entire video, adjusting processing parameters for different scenes, detecting and handling scene transitions, maintaining color consistency, and ensuring temporal stability. This is the difference between running a model and deploying an intelligent pipeline.
Compared to cloud-based upscaling services, Clareon offers complete privacy (your files never leave your machine), unlimited processing (no per-minute fees), and faster turnaround (no upload/download overhead). Compared to free open-source tools, Clareon provides a polished GUI, automated pipeline management, and battle-tested configurations that produce consistent results without command-line expertise.
Clareon is part of the RendereelStudio product suite. Explore our other AI-powered tools.