Open Source Swift Video Software

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.

PopcornTimeTV was an Apple TV, iPhone and iPad application to torrent movies and tv shows for streaming. Since 2016, this project has grown exponentially - both in its user base and in its functionality. However, the team size has gone the other way. We went from having 13+ developers on the team to 1 developer and 1 designer, both of whom have lives and projects outside of Popcorn Time. We have decided that we have given our all to this project and it's time for us to move on to pursue greater things. There is no doubt that this comes with a heavy heart as we have learned so much from this project and watched it grow from this simple torrenting app that could only play 720p video, to what it is today. All that being said, we do not want this project to just die after we leave. The size of the project might be a bit daunting to an unseasoned developer but the app is extremely stable and packed with almost every feature you could need.

Textream is an open-source, free macOS teleprompter application designed for streamers, podcasters, presenters, and interviewers who want a smooth, distraction-free way to stay on script. It runs natively on macOS and leverages on-device speech recognition to highlight each word in real time as you speak, keeping your focus where it belongs — on delivery rather than memorization. The interface supports multiple modes of use, such as classic constant-scroll auto-scrolling, voice-activated scrolling that pauses when you’re silent, and direct word tracking that syncs the displayed script to your spoken pace. Textream also includes flexible display modes, from a sleek notch-anchored overlay on laptops to an invisible-to-the-audience floating window or fullscreen experience.

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.

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.

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.

Aural is a desktop audio player designed to provide high-quality music playback with a focus on usability and advanced audio control. It supports a wide range of audio formats and emphasizes gapless playback and precise audio handling. The application includes features for playlist management, metadata browsing, and customizable playback controls. It is designed to handle large music libraries efficiently, offering filtering and sorting capabilities. aural-player also integrates features such as equalization and audio effects to enhance listening experiences. Its interface is built for simplicity while still offering detailed control for advanced users. Overall, it serves as a lightweight yet capable audio player for personal music collections.

SwiftFFmpeg is a Swift wrapper for FFmpeg that provides direct access to multimedia processing capabilities within Apple development environments. It exposes FFmpeg’s libraries through Swift-friendly APIs, enabling developers to perform encoding, decoding, and stream manipulation tasks. The project is designed to maintain performance while improving usability through modern language features. It supports working with media containers, codecs, and frames at a low level, offering fine control over processing pipelines. SwiftFFmpeg integrates seamlessly with iOS, macOS, and other Apple platforms, making it suitable for native app development. It requires FFmpeg libraries to be installed separately, allowing flexibility in configuration. Overall, it bridges FFmpeg functionality with Swift development workflows.

KSPlayer is a cross-platform multimedia playback framework designed for Apple ecosystems, including iOS, macOS, tvOS, and visionOS. It is built on top of AVPlayer and FFmpeg, combining native system capabilities with extended codec support for a wide range of media formats. The framework provides high-performance playback with support for advanced features such as HDR video, multi-audio streams, and subtitle rendering. It supports both local media files and network streams, including live streaming scenarios with low latency. KSPlayer is designed to integrate seamlessly with SwiftUI, UIKit, and AppKit, enabling developers to build modern user interfaces around its playback engine. It also includes support for hardware acceleration and high-resolution playback, ensuring smooth performance even for demanding content. Overall, it offers a flexible and powerful solution for building media applications on Apple platforms.

Kaset is a social audio platform framework that allows users to host, share, and interact with audio content in community-oriented spaces, combining elements of podcasting, voice rooms, and feedback-driven discovery. It provides an interface where creators can upload episodes, host live or scheduled voice sessions, and cultivate listener communities through comments, reactions, and follow systems. The platform emphasizes audio discovery with playlists, curated channels, and trending audio feeds, helping users find relevant voice content without sifting through noise. Listeners can subscribe to channels, get personalized recommendations, and join ongoing discussions around episodes or live broadcasts. Creators also receive analytics on engagement, playback patterns, and audience demographics so they can iterate on content strategies.

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.