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Vapourkit

vapourkit.app

Free plan WindowsLinux

What it is

Vapourkit is a free, open-source desktop app for restoring and upscaling video on Windows and Linux. It processes video with models and filters, with listed models including TSPAN / TFDAT VSR, AnimeJaNai and AnimeSharpV4; users can also import their own ONNX model. Inference options are TensorRT, DirectML and NCNN Vulkan, with availability depending on the operating system and GPU. A real-time preview shows output as processing progresses, and users can adjust filters and rerun a workflow. The app compares source and result side by side; Video Compare is built into Windows and optional on Linux. Users can queue multiple videos with custom workflows, write custom VapourSynth filters and save or share portable .vkfilter and .vkworkflow files. The filter catalog covers tasks such as denoising, interpolation and sharpening. Windows has a stable download, while Linux downloads are nightly AppImages. Supported systems are Windows 10/11 x64 and compatible x86_64 glibc-based Linux distributions; the maker recommends at least 8 GB RAM and 6 GB VRAM.

Spec sheet

Purpose
Vapourkit is a video restoration and upscaling app that processes videos using models and filters.Read 4 Oct 2026 · vapourkit.app
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.Read 4 Oct 2026 · vapourkit.app
Integrations
Vapourkit uses VapourSynth, FFmpeg, and AI inference backends; Linux setup requires Python, FFmpeg/ffprobe, and Vulkan, while Video Compare is optional there.Read 4 Oct 2026 · vapourkit.app
Support
The maker points users to Discord for help and feature requests, and says donations support development.Read 4 Oct 2026 · vapourkit.app
License
The project describes Vapourkit as free and open source, with a GPL 3.0 license.Read 4 Oct 2026 · github.com
AI backends
Its inference backends include TensorRT, DirectML, and NCNN Vulkan, with availability depending on operating system and GPU.Read 4 Oct 2026 · vapourkit.app
Batch processing
Users can queue multiple videos with custom workflows.Read 4 Oct 2026 · vapourkit.app
Batch workflows
Users can queue multiple videos with custom workflows and save or share .vkfilter and .vkworkflow files.Read 4 Oct 2026 · vapourkit.app
Comparison
The app can compare source and output side by side; Video Compare is built in on Windows and optional on Linux.Read 4 Oct 2026 · vapourkit.app
Custom filters
Users can write custom filters and use a platform-verified VapourSynth filter catalog, with more filters available on Windows.Read 4 Oct 2026 · vapourkit.app
Downloads
Windows has a stable download, while Linux downloads are currently nightly AppImages; stable Linux downloads are planned for Ko-fi when released.Read 4 Oct 2026 · vapourkit.app
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.Read 4 Oct 2026 · vapourkit.app
Inference backends
The site lists TensorRT, DirectML, and NCNN Vulkan, with availability depending on operating system and GPU.Read 4 Oct 2026 · vapourkit.app
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.Read 4 Oct 2026 · vapourkit.app
Models
Users can select bundled models or import their own ONNX model.Read 4 Oct 2026 · ko-fi.com
Open source
The maker describes Vapourkit as free and open source, and its repository lists the GPL-3.0 license.Read 4 Oct 2026 · github.com
Platform limitation
DirectML is available on Windows only, and Linux uses a curated verified filter catalog rather than every filter in the Windows build.Read 4 Oct 2026 · vapourkit.app
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.Read 4 Oct 2026 · vapourkit.app
Platform requirements
The docs support Windows 10/11 x64 and x86_64 glibc-based Linux distributions that can run AppImage.Read 4 Oct 2026 · vapourkit.app
Preview
Real-time preview shows output frames as processing advances, and users can adjust filters and rerun the pipeline.Read 4 Oct 2026 · vapourkit.app
Preview and comparison
Vapourkit offers real-time output preview and a side-by-side source and output viewer; Video Compare is built in on Windows and optional on Linux.Read 4 Oct 2026 · vapourkit.app
Privacy and local setup
Linux setup creates a private Python virtual environment under the user's configuration directory and does not install Python packages globally or require sudo.Read 4 Oct 2026 · vapourkit.app
System requirements
The maker recommends at least 8 GB RAM and 6 GB VRAM, and Linux requires Python 3.12 or 3.13, FFmpeg/ffprobe, and a working Vulkan runtime.Read 4 Oct 2026 · vapourkit.app
Workflow files
Users can save and share portable .vkfilter and .vkworkflow files.Read 4 Oct 2026 · vapourkit.app

Plans and prices

Vapourkit Free Free, open-source app; Windows stable download; Linux nightly AppImage Read 4 Oct 2026 · ko-fi.com

Every Vapourkit plan and price →

Strong points and limits

Strong points

  • Real-time output preview
  • Queues multiple videos with custom workflows
  • Imports user ONNX models
  • Saves portable workflow files
  • Free and open source under GPL 3.0

Limits

  • Linux downloads are nightly AppImages
  • DirectML is available on Windows only
  • Linux has a curated filter catalog
  • Maker recommends at least 8 GB RAM and 6 GB VRAM

Who it suits

Vapourkit suits people restoring or upscaling video, from users running a simple processing workflow to those building custom filters and batch pipelines. Check its operating-system, GPU and memory requirements before downloading.

Verdict

Vapourkit offers preview, comparison and batch workflows alongside custom filters and model imports. Its backend availability, Linux catalog and system requirements are important constraints to check first.

Where Specifiction places it

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