Topaz Video Enhance AI 2026 Latest Free Download

Topaz Video Enhance AI is a standalone video upscaling and enhancement application developed by Topaz Labs. It uses machine learning models trained on real video footage to increase resolution, reduce noise, sharpen detail, and recover footage that would otherwise be unusable. If you work with video professionally or even as a serious hobbyist, and you regularly deal with old, low-resolution, or degraded footage, this software deserves a close look.

What Is Topaz Video Enhance AI?

Topaz Video Enhance AI is a dedicated desktop application built specifically for video enhancement tasks. It is not a plugin. You import a video file, choose an AI model, set your output resolution, and the software processes the footage frame by frame using deep learning to produce a sharper, cleaner result.

The software is developed by Topaz Labs, a company known for its AI-powered photo and video tools. Video Enhance AI sits in the video side of their product line alongside Topaz Video AI, which is the more feature-rich successor application. Video Enhance AI remains available and is used widely by editors, archivists, filmmakers, and content creators who need reliable upscaling without a complex workflow.

It handles common real-world problems. You have 720p interview footage that needs to look acceptable on a 4K timeline. You have VHS transfers full of noise and interlacing artifacts. You have drone footage that was shot at 1080p but your client wants a 4K deliverable. These are the exact scenarios where Topaz Video Enhance AI earns its keep.

Core Features of Topaz Video Enhance AI

AI Upscaling Models

The central feature is its library of AI models, each trained for a different type of source footage. The Artemis model series handles general upscaling with options tuned for low-quality, medium-quality, and high-quality source material. Proteus is a model designed for more manual control, letting you adjust parameters like noise reduction, sharpness, and detail recovery on a scale rather than relying entirely on the model’s defaults.

Gaia is built for CGI and animation upscaling. Theia is trained on real-world footage and performs well on modern digital video. Each model produces different results depending on what you feed it, and part of getting good output is testing a short preview clip through two or three models before committing to a full export.

You can upscale footage to 2x, 4x, or custom dimensions. For a 1080p source, a 2x upscale produces 4K output. For SD footage like a 480p file, a 4x upscale gets you to 1920×1440, which you can then scale or crop to fit a 16:9 4K frame.

Noise Reduction and Artifact Removal

Upscaling a noisy video without treating the noise first usually makes the noise larger and more obvious. Topaz Video Enhance AI addresses this by applying noise reduction as part of the enhancement process. The AI models are trained to distinguish between real detail and grain or compression artifacts, so they reduce unwanted noise while preserving edge definition and texture.

This is particularly useful for footage that came from consumer cameras, older camcorders, or highly compressed sources like screen recordings or web video downloads. A 720p file compressed to a low bitrate for web delivery can look acceptable after processing through the right model at 1080p output.

Deinterlacing

Interlaced video from broadcast cameras, VHS, or DVD sources requires deinterlacing before it can be used cleanly in a modern progressive workflow. Topaz Video Enhance AI includes AI-based deinterlacing that reconstructs full frames rather than simply blending or discarding fields. The result is smoother motion and cleaner edges compared to the deinterlacing built into most NLEs.

For anyone digitizing VHS tapes, processing old broadcast footage, or working with archived television recordings, this feature alone can justify the cost of the software.

Slow Motion and Frame Interpolation

Topaz Video Enhance AI includes frame interpolation, which generates new frames between existing ones to increase the frame rate of your footage. You can take a 24fps clip and output it at 60fps. The AI analyzes motion between frames and synthesizes in-between frames that look more natural than traditional blending methods.

This works reasonably well on footage with simple, consistent motion. Fast cuts, rapid motion blur, and complex overlapping movement will produce artifacts in some cases, but for interview footage, b-roll, or slow pans, the results are usable.

Batch Processing

You can queue multiple video files and let the software run overnight. Each file in the batch can use a different model and output setting if needed. This is practical for production work where you have a folder of clips from the same shoot that all need the same treatment applied before editing.

Performance and Hardware Requirements

Topaz Video Enhance AI is a GPU-intensive application. Processing is handled primarily by your graphics card, and the speed difference between a capable GPU and an integrated graphics chip is enormous. On an NVIDIA RTX 3080, a 10-minute 1080p clip processed with the Artemis Low Quality model to 4K output typically takes 45 minutes to an hour. On a system with only integrated graphics, the same job can take several hours.

The software supports NVIDIA CUDA, AMD ROCm on select hardware, and Apple Metal for Mac users with M-series chips. Mac users with M1 or M2 processors get strong performance relative to the hardware, which makes the software a practical option on MacBook Pro for field work.

Storage speed also matters. Reading and writing large video files through processing benefits from an SSD. Running jobs off a slow external hard drive will create a bottleneck regardless of how fast your GPU is.

What Topaz Video Enhance AI Does Well

The output quality on appropriate source material is genuinely impressive. Old interview footage, documentary b-roll from the early 2000s, and digital home video from consumer camcorders can be brought to a usable state for modern deliverables. The model selection is the main variable. Spending 10 minutes previewing different models on a short section of your clip before running the full export is the single most useful habit you can build when using this software.

The interface is straightforward. You do not need a deep knowledge of video processing to use it effectively. Import, select model, set output resolution, export. Most users are productive within a few hours of first opening it.

Honest Limitations

Processing time is the primary constraint. This software is slow by nature. If you need to turn around 30 clips before the end of the day, you need fast hardware and realistic expectations about what fits in the schedule.

The software does not fix badly exposed, heavily clipped, or out-of-focus footage in any meaningful way. It works on resolution, noise, and motion. Color problems, overexposure, and focus issues are outside its scope.

Topaz Labs has shifted its primary development focus to Topaz Video AI, which includes all the capabilities of Video Enhance AI plus additional tools. If you are starting fresh today, Video AI is worth evaluating before purchasing Video Enhance AI. Existing Video Enhance AI users on older hardware may prefer to stick with what they have.

Who Should Use Topaz Video Enhance AI

This software is a practical fit for video editors dealing with archival or legacy footage, documentary filmmakers working with mixed-source material, YouTube creators upscaling older content for re-release, and anyone doing VHS or DVD digitization work. It is less suited to workflows involving only modern, natively high-resolution footage where upscaling is rarely needed.

Topaz Video Enhance AI System Requirements