Open Source Swift Video Software

This is a macOS app for the gifski encoder, which converts videos to GIF animations using pngquant's fancy features for efficient cross-frame palettes and temporal dithering. It produces animated GIFs that use thousands of colors per frame and up to 50 FPS (useful for showing off design work on Dribbble). You can also produce smaller lower quality GIFs when needed with the “Quality” slider, thanks to gifsicle. Gifski supports all the video formats that macOS supports (.mp4 or .mov with H264, HEVC, ProRes, etc). The QuickTime Animation format is not supported. Use ProRes 4444 XQ instead. It's more efficient, more widely supported, and like QuickTime Animation, it also supports alpha channel. Gifski has a bunch of settings like changing dimensions, speed, frame rate, quality, looping, and more.

Privacy-oriented video player for iOS, tvOS and macOS. Native user interface built with SwiftUI with customization settings. Player queue and history. Player component with custom controls, gestures and support for 4K playback. Fullscreen, Picture in Picture and background audio playback. SponsorBlock, configurable categories to skip.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

IINA is born to be a modern macOS application, from its framework to the user interface. It adopts the post-Yosemite design language of macOS and keeps up the pace of new technologies like Force Touch, Touch Bar, and Picture-in-Picture. IINA ships with a carefully crafted user interface for the macOS Mojave dark mode, which includes adjusted colors, icons and textures, providing a sleek and unified look. IINA supports the native Picture-in-Picture mode, enabling you to enjoy either local or online videos without being distracted. Powered by the open-source media player mpv, IINA can play almost every media file you have. With the support of youtube-dl and our browser extensions, you can also play a variety of online streams in IINA via one click. Written in the Swift programming language, IINA is free and open-sourced under the GPLv3 license. Please feel free to contribute to it by opening an issue, sending a feature request or a bug report on GitHub or by email.

Versatile Video Player implementation for iOS, macOS, and tvOS. VersaPlayer aims to be simple to use but also flexible, to start using VersaPlayer first create a view programatically or via storyboard. To add controls for your player use the VersaPlayerControls class, which comes packed with outlets to control your player, you can also add as many as you like by making a custom implementation. VersaPlayer also brings support for encrypted content, to make use of this functionality you must implement VersaPlayerDecryptionDelegate and assign it to VersaPlayer's decryptionDelegate property. To make use of different media tracks, such as audio, video, or captioning, use VersaPlayerMediaTracks, found in VersaPlayer class. Video tracks are most helpfull when dealing with different renditions or different streams per video quality.