Projects sharing features with Open Video Editor

jellyfin-android is an Android media server client used to stream movies, television shows, and music from a remote server to mobile devices. It functions as a cross-platform media player that supports direct streaming, remote transcoding for incompatible formats, and the integration of external subtitles. The application serves as a Chromecast media controller, allowing users to cast server-hosted content to compatible televisions and speakers. It also acts as a digital library viewer for browsing photo collections and reading ebooks, comics, and magazines stored on a remote server. Beyond

Jellyfin Web is the browser-based frontend for the Jellyfin media server, providing the user interface for browsing, playing, and administering a self-hosted media collection. It functions as a cross-platform media client that works across desktop and mobile browsers, offering a dashboard for server configuration, user management, and plugin administration. The web client serves as the primary interface for organizing and streaming personal media libraries, including movies, TV shows, music, and photos. The web interface supports a range of media management capabilities, including library org

ErsatzTV is an IPTV channel simulator and linear media scheduler that transforms personal media libraries into simulated live television channels. It acts as a bridge and transcoding gateway, importing content from external media servers to create virtual broadcast channels delivered via M3U playlists and XMLTV program guides. The system distinguishes itself through a complex automation engine for linear playback, using collection-based sequencing and dynamic schedule resolution to emulate a traditional broadcast experience. It supports advanced playback logic, including the grouping of multi

Editly is a headless, programmatic video engine and automated assembler. It functions as a declarative video editor that generates MP4 and GIF exports from structured data or code, removing the need for a manual graphical user interface. The system is distinguished by its ability to integrate GLSL fragment shaders as visual layers within a programmatic timeline. It uses a configuration-based model to define clips, layers, and audio tracks, allowing for reproducible video assembly and the generation of custom programmatic graphics. The engine covers a broad range of media production capabilit

This is a cross-platform media processing library that reads, writes, encodes, and decodes media in both browser and server environments. It supports common container formats including ISOBMFF, Matroska, Ogg, MPEG-TS, and HLS, and handles codec operations through a combination of WebCodecs API and WebAssembly-based encoders. Media is processed in streaming pipelines that maintain constant memory usage and automatically apply backpressure from output speed to all upstream components. The library distinguishes itself through a plugin-based codec registration system that allows extending support

GPAC is an open-source multimedia framework built around a pluggable filter graph pipeline, where modular processing units called filters connect into a directed graph to handle media workflows. At its core, the framework centers all media packaging and manipulation on the ISO Base Media File Format (ISOBMFF), with specialized tools for reading, writing, fragmenting, and encrypting MP4 and related containers. It also provides a declarative scene graph composition system for describing interactive multimedia scenes using MPEG-4 BIFS, X3D, SVG, or VRML syntax, alongside a hardware-accelerated re

MediaCMS is a self-hosted media content management system designed for hosting, organizing, and distributing video, audio, images, and PDF files. It functions as a digital asset management platform that combines a transcoding pipeline with a server capable of delivering adaptive video streaming. The system is distinguished by its automated media transcoding pipeline, which converts uploaded files into multiple resolutions and codecs and generates automatic transcriptions. It integrates SAML and OAuth identity layers to connect external enterprise identity providers for managing user access an

PHP-FFmpeg is an object-oriented wrapper for executing FFmpeg binary commands within PHP applications. It serves as a multimedia processing library and toolkit for transcoding, clipping, merging, and filtering audio and video files through a standardized programmatic interface. The project provides specialized drivers for video manipulation, audio editing, and media metadata extraction. These drivers allow for the application of visual filters, the modification of audio sample rates, and the probing of multimedia files to retrieve technical specifications and validate file integrity. The lib

This toolkit serves as a Ruby-based interface for automating video transcoding workflows. It functions as a wrapper for media processing software, providing a structured way to convert, inspect, and transform video files through automated command generation. The project distinguishes itself by enabling precise control over media processing through the injection of custom encoding parameters and the construction of dynamic filter graphs. Users can manage complex tasks such as manual cropping, scaling, and color space adjustments, while choosing between software and hardware-accelerated encodin

This project is a C-based media engineering guide and multimedia processing framework designed for managing codecs, frames, and packets within the FFmpeg and Libav ecosystem. It provides technical documentation and implementation patterns for transcoding, remuxing, and resizing video and audio data. The project includes a containerized development environment that encapsulates required media libraries and toolchains within a virtual image to ensure consistent build environments. The framework covers a range of multimedia engineering workflows, including adaptive bitrate streaming, media cont

This project is an educational suite and technical guide designed for mastering video codecs and signal processing. It provides a structured curriculum through an engineering course, interactive labs, and tutorials focused on the fundamental principles of video compression and digital signal processing. The resource includes a technical guide for analyzing specific codecs like AV1, VP9, and H.265. It distinguishes itself by providing a containerized media lab, which ensures a consistent development environment for experimenting with video technology tools and notebooks. The project covers a

QtAV is a cross-platform media engine and multimedia framework that combines FFmpeg decoding with the Qt framework for audio and video rendering. It functions as a hardware-accelerated video player, an OpenGL video renderer, and a multimedia stream transcoder. The project distinguishes itself through a hardware-abstraction decoding layer that utilizes GPU interfaces such as VA-API and VideoToolbox to decode high-resolution video. It employs a zero-copy memory transfer path to move decoded video data directly to graphics APIs, reducing CPU overhead and enabling high-performance YUV rendering.

This project is a web-based animation tool and GIF meme generator that overlays custom text onto video templates. It functions as a backend system utilizing an ASS subtitle rendering engine and FFmpeg to produce animated GIF files from user inputs. The system is distinguished by its use of Advanced Substation Alpha files to handle the precise timing, positioning, and visual styling of text overlays. It features a directory-based template registry that automatically discovers available video and subtitle pairs by scanning the file system at startup. The tool provides a RESTful API for trigger

RxFFmpeg is an Android multimedia framework and media transcoder based on FFmpeg. It provides a set of tools for video and audio editing, transcoding, and processing on Android devices. The framework integrates a video player component for rendering local files and network streams with zoom and rotation support. It also includes specialized libraries for Android video editing, such as cropping and splicing, and Android audio processing for mixing tracks and modifying voice pitch. The project covers broad media manipulation capabilities, including the conversion of images to video, the extrac

ffmpeg-python is a Python wrapper that translates programmatic method calls into command-line arguments for executing FFmpeg media processing tasks. It functions as a multimedia transcoding interface and a media stream capture tool, allowing for the recording of live audio and video from hardware devices and network sources. The library features a fluent interface for constructing complex directed graphs of audio and video filters through method chaining. It also includes an FFprobe metadata extractor that retrieves structured technical properties from media files and returns them as Python d

This command-line utility provides a specialized interface for managing and manipulating audiobook files. It functions as a processing engine designed to handle audio merging, splitting, and format standardization, allowing users to organize large collections through automated workflows. The tool distinguishes itself by integrating silence detection to automatically identify logical break points for chapter creation and segmentation. It supports parallel task execution to maximize throughput during batch operations and utilizes metadata injection to ensure that chapter markers, cover art, and

StreamCap is a cross-platform recording client designed to automate the archiving of live video broadcasts. It functions as a centralized utility that monitors multiple streaming channels, automatically triggering recording tasks the moment a broadcast begins. By leveraging a dedicated media processing framework, the software captures live data streams directly to local storage. The project distinguishes itself through an integrated web-based management interface that allows users to configure recording parameters and monitor active sessions remotely. It supports automated scheduling for recu

m3u8-downloader is a tool for extracting, downloading, and merging video segments from m3u8 playlist files into a single file. It functions as an HLS stream extractor and downloader that parses playlists to identify and retrieve individual video fragments. The project features a dedicated AES-128 stream decryptor to ensure encrypted media is playable and utilizes an MP4 transcoder to convert fragmented stream segments into a standard container for broad media player compatibility. It employs cross-origin script injection to bypass browser security restrictions and extract video source links d

Tdarr is a distributed video processing and media library automation tool. It functions as a server-node architecture that manages the scanning, analysis, and normalization of audio and video files based on custom rules. The system distributes heavy compute workloads, such as transcoding and health checks, across multiple remote nodes to optimize hardware utilization. It uses a plugin-based pipeline to execute sequences of filters and transformations, automating media conversion via FFmpeg and HandBrake to standardize file formats and containers. The project covers media library health audit

This project is a self-hosted media server for organizing, streaming, and tracking anime and manga collections. It functions as a BitTorrent streaming client that allows video content to be played directly from torrents and cloud storage, a manga reader and tracker, and a media processing system using hardware-accelerated transcoding to ensure browser compatibility. The system distinguishes itself through synchronized media viewing, enabling users to host watch parties by coordinating playback in real time across multiple devices. It also features an extensible framework with a JavaScript-bas

AI-Media2Doc is a self-hosted media transcription and content repurposing platform. It converts audio and video files into structured documents, searchable transcripts, and notes using a local speech-to-text pipeline and language model integration. The system enables the creation of illustrated articles by extracting video frames based on subtitle timestamps. Users can control the style and structure of generated text through custom behavioral prompts and integrate external language models via configurable API endpoints. The platform covers automated speech transcription, multimedia content

This project is a local AI inpainting tool designed to erase hard-coded subtitles and watermarks from videos and images. It functions as a content-aware media restorer that uses deep learning to reconstruct missing pixels and preserve the original resolution of the source files. The software is distinguished by its local execution model, running inference on host hardware to process media without relying on external cloud APIs. It employs content-aware model selection, allowing the use of different generative algorithms based on media types, such as animation or live action, to optimize visua

QualityScaler is an AI video upscaler and local media processing tool designed to increase the resolution and visual quality of videos and images. It uses deep learning models to enhance detail and remove noise, operating as an offline application that executes all computations on local hardware. The project functions as a GPU-accelerated media processor that distributes workloads across multiple graphics cards to increase rendering speed. To prevent memory overflow during high-resolution tasks, it employs a tiled image processing method that splits large assets into smaller sections. The sy

This project is a hardware-accelerated transcription server and offline subtitle generator. It functions as a speech-to-text tool that converts audio and video files into plain text, JSON, and SRT subtitle formats using the Whisper model. The system operates as an OpenAI Audio API emulator, providing a local server that mimics a specific audio interface. This allows it to serve transcriptions to existing client configurations without requiring changes to the client software. The service utilizes GPU acceleration to increase voice recognition speed and includes utilities for hardware detectio

Video-Downloader is a cross-platform desktop utility designed to retrieve and archive online video content. It functions as a media aggregator that extracts streaming video sources from various platforms and saves them to a local file system for offline viewing. The application specializes in processing fragmented media streams by fetching individual segments and merging them into a single, playable file. It utilizes pattern matching to identify source endpoints and employs concurrent data fetching to manage large media transfers reliably. To maintain compatibility with evolving third-party

This project is an automated video generation platform that transforms text prompts and web content into finished short-form videos. It functions as an end-to-end production pipeline, streamlining the creation of scripts, voiceovers, background music, and synchronized subtitles through a unified workflow. The system distinguishes itself by leveraging large language models to orchestrate the entire creative process, converting natural language inputs into structured timelines, dialogue scripts, and scene descriptions. It integrates neural text-to-speech synthesis for automated narration and em

Upscayl is a cross-platform desktop application designed to increase the resolution and visual quality of digital images using artificial intelligence. By executing all processing tasks locally on the user's machine, the software ensures that sensitive media files remain private and never leave the host system for cloud-based services. The application distinguishes itself through a hardware-agnostic architecture that offloads intensive rendering workloads directly to the local graphics unit. It utilizes a hardware abstraction layer to translate enhancement commands into instructions compatibl