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Vapourkit
What it is
Vapourkit is a free, open-source desktop app for restoring and upscaling video on Windows and Linux, licensed under GPL 3.0. It processes video with models and filters for tasks that include denoising, artifact removal, and frame interpolation. A live preview shows output as processing advances, so users can adjust filters and rerun a workflow; a side-by-side view compares source and result. Video Compare is built into Windows and optional on Linux. Users can queue multiple videos with custom workflows, write filters, and save or share portable .vkfilter and .vkworkflow files. Listed models include TSPAN / TFDAT VSR, AnimeJaNai, and AnimeSharpV4, and the app can import a user's own ONNX model. Inference options include TensorRT, DirectML, and NCNN Vulkan, depending on operating system and GPU. Windows has a stable download, while Linux downloads are nightly AppImages. Supported systems include Windows 10/11 x64 and compatible x86_64 glibc-based Linux distributions. The maker recommends at least 8 GB RAM and 6 GB VRAM.
For and against
For
- Free and open source under GPL 3.0.
- Live preview and side-by-side source comparison are available.
- Multiple videos can be queued with custom workflows.
- Users can import their own ONNX models.
Against
- Linux downloads are nightly AppImages, not stable releases.
- DirectML is available on Windows only.
- Linux has a curated filter catalog rather than the full Windows catalog.
- The maker recommends at least 8 GB RAM and 6 GB VRAM.
The verdict
Vapourkit provides video processing with preview, custom filters, and batch workflows at no cost. Linux users should note the nightly downloads and smaller verified filter catalog.
Who it suits
Vapourkit may suit people restoring or upscaling video, from those using a simple processing workflow to users building custom filters and batch pipelines. Check the operating-system, GPU, and Linux setup requirements before downloading.
Plans and prices
Vapourkit
Free, open-source app; Windows stable download; Linux nightly AppImage
Read 4 Oct 2026 · ko-fi.com
On the record
- AI backends
- Its inference backends include TensorRT, DirectML, and NCNN Vulkan, with availability depending on operating system and GPU.vapourkit.app · read 4 Oct 2026
- Batch processing
- Users can queue multiple videos with custom workflows.vapourkit.app · read 4 Oct 2026
- Batch workflows
- Users can queue multiple videos with custom workflows and save or share .vkfilter and .vkworkflow files.vapourkit.app · read 4 Oct 2026
- Comparison
- The app can compare source and output side by side; Video Compare is built in on Windows and optional on Linux.vapourkit.app · read 4 Oct 2026
- Custom filters
- Users can write custom filters and use a platform-verified VapourSynth filter catalog, with more filters available on Windows.vapourkit.app · read 4 Oct 2026
- Downloads
- Windows has a stable download, while Linux downloads are currently nightly AppImages; stable Linux downloads are planned for Ko-fi when released.vapourkit.app · read 4 Oct 2026
- Filters
- The app includes a catalog of VapourSynth filters for tasks such as deinterlacing, interpolation, restoration, denoising, sharpening, anti-aliasing, dehalo, and debanding, and supports custom filters.vapourkit.app · read 4 Oct 2026
- Inference backends
- The site lists TensorRT, DirectML, and NCNN Vulkan, with availability depending on operating system and GPU.vapourkit.app · read 4 Oct 2026
- Integrations
- Vapourkit uses VapourSynth, FFmpeg, and AI inference backends; Linux setup requires Python, FFmpeg/ffprobe, and Vulkan, while Video Compare is optional there.vapourkit.app · read 4 Oct 2026
- Intended users
- The maker presents Vapourkit for people restoring or upscaling video, from a simple load-and-process workflow to custom filters and batch pipelines.vapourkit.app · read 4 Oct 2026
- License
- The project describes Vapourkit as free and open source, with a GPL 3.0 license.github.com · read 4 Oct 2026
- Linux setup
- Linux setup creates a private Python virtual environment and installs packages under the user's config directory without installing Python packages globally or requiring sudo.vapourkit.app · read 4 Oct 2026
- Models
- Users can select bundled models or import their own ONNX model.ko-fi.com · read 4 Oct 2026
- Open source
- The maker describes Vapourkit as free and open source, and its repository lists the GPL-3.0 license.github.com · read 4 Oct 2026
- Platform limitation
- DirectML is available on Windows only, and Linux uses a curated verified filter catalog rather than every filter in the Windows build.vapourkit.app · read 4 Oct 2026
- Platform limits
- Vapourkit supports Windows 10/11 x64 and x86_64 glibc-based Linux distributions that can run the AppImage; Linux offers a curated verified filter catalog rather than the full Windows catalog.vapourkit.app · read 4 Oct 2026
- Platform requirements
- The docs support Windows 10/11 x64 and x86_64 glibc-based Linux distributions that can run AppImage.vapourkit.app · read 4 Oct 2026
- Preview
- Real-time preview shows output frames as processing advances, and users can adjust filters and rerun the pipeline.vapourkit.app · read 4 Oct 2026
The review
Vapourkit is a free, open-source desktop application for restoring and upscaling video with VapourSynth filters, FFmpeg and AI models. It is aimed at users who want local processing they can tune, reuse and batch rather than a fixed one-click service. The combination of preview, comparison and portable workflows is its strongest case, while Linux users face nightly AppImages and a smaller verified filter selection.
Overview
Vapourkit supports both a straightforward load-and-process workflow and deeper pipeline building. Real-time preview displays output frames as processing advances, allowing filter changes followed by another run instead of waiting until the end to discover a poor result. A side-by-side source and output viewer makes visual checking practical. Video Compare is included on Windows and optional on Linux, so the comparison experience is more complete on Windows.
The application is free and open source under the GPL 3.0 license. Processing is local, with setup and hardware requirements that will matter to anyone without a suitable graphics stack: the maker recommends at least 8 GB of RAM and 6 GB of VRAM.
Key features
Models and inference
The included model set covers TSPAN / TFDAT VSR, AnimeJaNai and AnimeSharpV4, and users can import their own ONNX models. TensorRT, DirectML and NCNN Vulkan provide several inference routes, but availability depends on the operating system and GPU. DirectML is Windows-only, so Linux users cannot expect the same backend choices.
Filters and repeatable workflows
The VapourSynth catalog addresses deinterlacing, frame interpolation, restoration, denoising, sharpening, anti-aliasing, dehalo and debanding. Custom filters let experienced users go beyond the built-in recipes. Multiple videos can be queued with custom workflows, and portable .vkfilter and .vkworkflow files can be saved and shared, which suits repeat projects and batch processing better than ad hoc editing.
Linux has a curated, platform-verified catalog rather than the full Windows catalog. That improves the boundary of supported filters but limits experimentation compared with the Windows build.
Pricing
Vapourkit — free: The free plan is the application itself, including its open-source license, Windows stable download and Linux nightly AppImage. There is no free trial because there is no paid tier or trial period. The published plan does not impose usage quotas, seat charges or renewal terms, so it is a strong fit for individuals and teams comfortable running desktop software locally. The trade-off is operational rather than financial: Linux users receive nightly builds for now, while stable Linux downloads are planned for a future Ko-fi release.
Platforms
Vapourkit runs on Windows 10/11 x64 and x86_64 glibc-based Linux distributions capable of running an AppImage. Windows has a stable download. Linux setup creates a private Python virtual environment in the user’s configuration directory, installs packages without requiring global Python changes or sudo, and requires Python 3.12 or 3.13, FFmpeg/ffprobe and a working Vulkan runtime. Video Compare is optional on Linux. These dependencies make Vapourkit a better fit for technically comfortable desktop users than for machines with tightly managed or unsupported environments.
Who it's for
Choose Vapourkit if you restore archival footage, upscale anime or other video, need denoising, artifact removal or frame interpolation, and want to control the processing chain. It is particularly suitable when the same filter pipeline must be reused across many files or shared with others. Users who need a polished stable Linux release, the complete filter catalog or a cloud workflow should look elsewhere; Vapourkit’s strengths are local control and extensibility, not turnkey service delivery.
Pros and cons
- Pros: Free GPL 3.0 software avoids subscription costs; real-time preview and source/output comparison make iterative tuning easier; custom filters, imported ONNX models and VapourSynth coverage support advanced restoration; batch queues and portable workflow files make repeat processing practical; Windows and Linux support provides a local alternative to web services.
- Cons: Linux downloads are nightly AppImages rather than stable releases; Linux has fewer verified filters than Windows; DirectML is unavailable on Linux; Vulkan, Python and FFmpeg requirements add setup work; useful performance depends on having suitable RAM and GPU memory.
Alternatives
For a freemium, cross-platform product with mobile, web and API access, consider HitPaw VikPea; its 1 Month License costs $43.19 a month and renews automatically until canceled. Surveillant Forensic Video Enhancement is the better fit for forensic, camera-based workflows, with a $49 monthly Starter plan and paid cloud limits. Choose TensorPix for a web/API service with a free tier, weekly login credits and input capped at 720p. Aiarty Video Enhancer suits Windows or macOS users who prefer a conventional desktop license; its free version limits videos to 120 seconds, adds watermarks and omits batch export, while Standard costs $79 a year. SeedVR2 is another free option spanning Linux, macOS, self-hosted and Windows. Klarity is a free local and offline restoration tool for Linux and Windows. RestoraX fits users wanting free MIT-licensed, self-hosted GPU/CPU processing. Videvra Restore is a web-based free public beta for short restoration tests.
Verdict
Vapourkit is an excellent choice for Windows users and technically capable Linux users who want free, local video restoration with preview, custom filters, model flexibility and reusable batch workflows. Choose it for control and repeatability; look elsewhere if you need stable Linux releases, a complete cross-platform filter catalog or a managed cloud service.