Open Source Linux Video Editing Software - Page 2
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Video Editing Software for Linux
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RxFFmpeg
FFmpeg 4.0 + X264 + mp3lame + fdk-aac + opencore-amr + openssl
RxFFmpeg is a high-performance multimedia processing framework built on top of FFmpeg and optimized specifically for Android environments, enabling developers to perform complex audio and video editing operations programmatically. It integrates widely used encoding libraries such as x264, mp3lame, and fdk-aac, allowing it to support a broad range of media formats and transformations. The framework provides a wrapper around FFmpeg commands, making it easier to execute advanced media operations without directly handling low-level command syntax. It supports both synchronous and asynchronous execution, enabling developers to manage long-running media tasks efficiently within mobile applications. The system also includes features like hardware acceleration through MediaCodec, significantly improving performance on supported devices. Its design focuses on flexibility, allowing users to perform tasks such as transcoding, clipping, filtering, and compositing media with minimal overhead. -
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video-use
Edit videos with Claude Code
Video Use is an open-source AI-powered video editing tool that allows users to transform raw footage into polished videos using natural language commands. Designed to work with Claude Code, it automates the entire editing process—from cutting clips to rendering the final output—without requiring manual timelines or complex software interfaces. The system intelligently analyzes audio transcripts and visual cues to make precise, context-aware editing decisions. It supports a wide range of content types, including interviews, tutorials, montages, and talking-head videos. By combining structured text representations with on-demand visual previews, it minimizes processing overhead while maintaining high-quality results. Overall, Video Use reimagines video editing as an AI-driven, conversational workflow. -
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Video Object Remover – Frame-Accurate
🎥 A free & open-source Python tool to remove unwanted objects from videos frame-by-frame using brush masking and AI inpainting (OpenCV + FFmpeg). EXE included.
Video Object Remover – Frame Accurate Edition is a free and open-source desktop application that helps you remove unwanted objects, logos, or watermarks from videos using brush-based masking and AI inpainting. The tool extracts video frames using FFmpeg, lets you mask objects frame-by-frame, and removes them using OpenCV. Built with Python and Tkinter, it features a modern dark-themed GUI, adjustable brush tool, zoom control, and real-time logging. The cleaned video is rebuilt and exported with original quality. Includes a precompiled Windows EXE for normal users (no Python required) and full source code for developers or students. Perfect for YouTubers, video editors, educators, and open-source enthusiasts. 🖥️ Website: https://projectworlds.in 📺 YouTube: https://youtube.com/@projectworlds 📬 Support: https://projectworlds.in/contact-us -
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Anime4K-rs
An attempt to write Anime4K in Rust
An attempt to write Anime4K in Rust. Anime4K is a state-of-the-art*, open-source, high-quality real-time anime upscaling algorithm that can be implemented in any programming language. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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AviSynth AiUpscale v1.2.0
AviSynth+ implementation of Super-Resolution Convolutional Neural
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks. Independent luma/chroma upscaling and chroma resampling. Two modes for Video/Photography and Line Art. KrigBilateral option for chroma upscaling/resampling. mpv user shaders of all models for real-time upscaling. Copy AiUpscale.avsi and the Shaders folder to the AviSynth+ plugins folder. The low resolution images were generated using the bicubic filter with Catmull-Rom settings, which is the method commonly used for training super-resolution networks, including those tested here. Note however that as an exception to this, the Anime4K models were trained using the average area downsampling method. The AiUpscale models used for all datasets were the "Photo" models, except for the Manga109 dataset for which the "LineArt" models were used. In the same way, the Waifu2x cunet model was used for the Manga109 dataset, and the upconv_7 model for the rest. -
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UpscalerJS
Image Upscaling in Javascript. Increase image resolution up to 4x
Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js. Open source, browser/Node compatibility, and completely free to use under the MIT license. Scale images up to 4x their original size, all in Javascript. UpscalerJS ships with pre-trained models in the box covering a wide variety of use cases. Or bring your own! Browser, Node (CPU and GPU-accelerated), and Service Worker environments all supported. Supports inputs in a wide variety of formats - URL, HTMLImageElement, and more, and by default exports a base64 upscaled string. Pick your Javascript flavor! UpscalerJS ships with ESM and UMD (browser) and ESM and CJS (Node). Close to 100% test coverage, Typescript support, examples covering a wide variety of use cases, and thick documentation. -
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Music + Video + Animation Maker & App
Why Music + Video + Animation Maker & App is Fun?
Javaimagephp All-in-one video/film editor or maker makes sense as simple to use app for video/film or movie editing and animations/slideshows. It gets most of your imagination of an All-in-one video/film Animation editor / maker App. Video editing is made intuitive and simple. Lots of Special Effects ( > 55) ! For example this one http://ogena.ridoua.nu Formats supported are mp4, avi, flv, mov, flv and more. Description given image animation which seeks audio given a description. Visualization (Slideshow / Animation) of Streams (Radio: asx, pls, m3u etc.) and News Feeds (RSS, XML) This Program is protected by 1st abstract & reg. International and root sec. laws as is comes free of use like that. Give your answers alike vaks@ccwf[.]cc[.]utexas[.]edu about Ani Magix or issue your activation phase of performer@df(.)lth.s(e) -
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ffdiaporama
Movie creator from photos and video clips
ffDiaporama 2.1 needs ffmpeg21 and x264-152 -
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Aeyae Remux
GOP-based video editor (remuxer)
Aeyae Remux can be used to extract portions of original video into a separate file. Aeyae Remux is a GOP-based editor (GOP = Group Of Pictures), which means it doesn't do any transcoding, only remuxing. However, it can truncate a GOP. Aeyae Remux can be used to stitch together files... within reason. Since it is only a remuxer -- stitched files must be of compatible format. This means stitched files must have the same audio/video codecs, and codec properties (width, height, sample rate, etc...). That said... Aeyae Remux currently doesn't check or enforce this restriction, so beware -- garbage input will likely produce garbage output. Linux binaries are provided as AppImage, built on Ubuntu 14.04. 8 GB of RAM (but more is better) is highly recommended if working with source files longer than 2 hours. -
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Border Control Mod Virtualdub
Create pleasing border to video using Virtualdub
Filter to modify the edges of a video frame. 1. Fill a fixed border with selected color 2. Smear a single line to the edge of the border, next line to smear region used 3. Stretch N lines to fill to the edge of border, N lines above smear region used 4. Fade video from selected line to edge of border fade can be to black or to border color 5. Cross smear progressively softens the smeared lines to make smear less obvious 6. Range of values is suitable for HD videos While this was intended for edge modification it can be used for special effects such as fading the edges of a scene to frame a center portion ... GNU General Public license Copyright (C) 2000-2002 Simon Walters Extensive Modifications by John M. Clement (C) 2014 -
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V_Easy Video Editor
Non-linear video editor for Linux
Video editor matching with the author's priorities: Just the functions needed, aesthetics and flexibility sacrificed for less dependency and more reliability. -
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urmusic5
The Free and Open Source Music Visualizer Tool
urmusic is a free and open-source software that allows you to easily create your own music visualizer and create a music video for it! It makes use of hardware acceleration to render frames as fast as possible. Donations: Support me on ko-fi: https://ko-fi.com/nasso -
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Orchid Studio is a beautiful full multimedia operating system that can edit sound, video, and photographs on a 10 year old laptop with just 4GB of memory. Although designed for 10 year old and newer 64-bit computers that are unable to upgrade to windows 11, it excels on newer systems. It works great on multi-monitor and ultra wide screen monitor setups. Orchid Studio can be run live from a USB drive, however is intended to be installed on a solid state drive or hard drive. Orchid Studio is designed as a single user setup where the “admin” user does not require passwords for updates, installing software, and performing most administrative tasks. Other users will require passwords to be used for these functions. Passwords: root and admin initial passwords are “admin”, if you are security conscious you should change them.
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AI Models
A repository of trained models
All models (at least currently) are supported by chaiNNer, an upscaling GUI that allows for both very simple and very complex tasks to be completed in a nice manner where you "chain" nodes together. Highly recommended for images. If you're looking to upscale videos using the models then use enhancr simply due to the fact that it supports TensorRT, which will allow you to upscale videos at incredible speeds! The GUI is one of the best looking applications out there and is personally my go to option. While yes builds are paid, it is well worth your money and beats any other GUI out there currently. -
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AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
Blender add-on to dramatically reduce render times using the Real-ESRGAN upscaler. Rendering an HD image in Blender takes 37 minutes. Upscaling can render a similar quality image in 5 mins total. Any PC or laptop can now do 3D rendering. 4k images can be rendered in the time it would take to render HD 1080p images. HD 1080p images can be rendered in record time on low-end hardware. Installation is easy. Just install the addon. No special hardware or GPU is required. Upscaling is done entirely on the CPU. Blender renders a low-resolution image. The Real-ESRGAN Upscaler upscales the low-resolution image to a higher-resolution image. Real-ESRGAN is a deep learning upscaler that uses neural networks to achieve excellent results by adding in detail when it upscales. -
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Anime4kSharp
Anime4K implemented in C#
Anime4KSharp is a .Net Core library that implements bloc97's Anime4K Algorithm version 0.9 and 1.0 RC2. The Algorithm is executed on the CPU, but utilizing all available CPU Cores. This yields to a conversion time of "only" 4432 ms when upscaling from 1080p to 2160p. This time could possibly be reduced with further optimization. Images are processed in four phases that are executed on a pixel- per- pixel basis. Each phase takes a input image and renders it to a output image. This makes it easy to port the algorithm (back) to GLSL fragment shaders. As bloc97 described in his pseudo-preprint, the Anime4K algorithm is actually quite simple. -
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AutoCrop-Vertical
Smart video converter using YOLOv8 and FFmpeg
AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can switch to alternative layouts such as letterboxing to maintain context. The tool integrates FFmpeg for encoding and rendering, ensuring efficient processing and compatibility with standard video workflows. It supports multiple output aspect ratios and quality settings, allowing customization for different platforms. Designed as a lightweight script, it runs locally and provides a cost-free alternative to commercial video reframing tools. -
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Clipstitch
Uility to make home movies from your digital camera files
Full documentation: Download clipstitchX.Y.html To make movies from your camera (or phone) video files. FFmpeg is a professional-quality, free, open-source program for video editing, with the ability to implement a huge number of operations and handle every data format! This kind of ability comes at a cost: its commands are quite complex-looking and difficult to use and remember. Clipstitch runs as a front-end to ffmpeg so that you use only the sub-set of ffmpeg commands necessary for making a home movie from your digital camera, puts them in easier-to-read form, and internally combines multiple ffmpeg commands to do certain tasks.. You can put Clipstitch commands into a text file and run as a script or type them in manually at a prompt. You can: Select portions of motion files with optional fades/slowmo/speedup, reverse play backwards. Adjust clip order. Concatenate to make your final "movie". V5.5 introduced captions, and special effects features. -
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ESRM
Un "Screen Recorder" codificado 100% con AI, escrito en python.
🎥 Effect Screen Recorder Master (ESRM) ESRM es un programa para grabación de pantalla con efectos visuales en tiempo real, hecho 100% con chat GPT, está escrito en python y con interfaz gráfica en Custom Tkinter, se usa FFMPEG para realizar las grabaciones (en cualquier caso, debe instalar FFMPEG y añadirlo al PATH). Está escrito en python v3.12.8, pero está disponible desde las 3.11.6 y superiores. Usa CustomTkinter para una interfaz moderna y ffmpeg para realizar las grabaciones en formato.MP4. Puede ajustar los efectos que requiera los cuales se aplicarán con ayuda de ffmpeg en tiempo real, no necesita de un editor de video externo, puede añadir nitidez, brillo, saturación y demás a la grabación. Este programa también está disponible por medio de el package manager PIP (pypi.org). Ejecute "pip install effect-srm" para instalar, una vez instalado, en CMD y otra terminal, puede ejecutar uno de los siguientes comandos: - srm - esrm - effect-screen-recorder-master -
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Easy Upscale
A simple image upscaler application using EDSR, ESPCN, FSRCNN, etc.
This application was made to fulfill the assignment for the Data Structures course. The concept of the application is an application to upgrade/enhance image quality. The main theme is queues, we implement circular queues for pooling/storing a list of images to be upscaled. Gui creation is made manually using the tkinter library. For the upscale process itself, it uses the OpenCV library with a model obtained from open source. Checked using vermin. Minimum required versions: 3.6 Incompatible versions: 2. -
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G2SConverter
Convert models from GoldSource engine to Source engine with AI
Convert models from GoldSource engine to the Source engine with AI. This utility converts GoldSource engine models to Source engine models. A feature of this utility is the ability to improve the quality of textures of models using Upscaling, deblurring, and normal map generating. All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8. After the Upscaling procedure, the texture is deblured using the Scale-recurrent Network for Deep Image Deblurring. An example of a processed texture is shown in the following image (parameters used: scaling-factor = 4 and deblur iterations = 4) besides upscaling and debluring the utility also generates normal maps for each texture. This is implemented using the DeepBump by HugoTiny model. Examples of normal maps are shown in the following images. -
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Let Me Teach
Edit your own Lessons, easliy and faster than any time
this project make you able to edit your lessons to add some messages and clips easliy . it's for Linux user in the beginning then I will support Windows and maybe MacOS -
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MNIST-WGAN
A C# WGAN
This project generates hand-written digits from the MNIST dataset using WGAN architecture. While debugged, a few lingering issues may remain, if you encounter any please submit them and they will be resolved. The sources and features of the project can be found in the wiki. Before use, one should verify that the network architecture is as-desired. This may be done with the GUI to the right of the number display. The "Default" button resets the network to hard-coded values which I have verified function. The "Reset" button sets the ACTIVE network to whatever architecture is displayed. In order to change which network is displayed, use the "Critic [1] or Generator [0]" checkbox. To begin training the network, press the "Train" button, after which you may use the "Clear" button to reset the average error and average percent correct value textboxes. In order to use the project on an alternative dataset, one must replace the MNIST files, then rewrite IO.FindNextNumber. -
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Veja na página WIKI como instalar e executar o aplicativo.
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RenderTune
Free open-source high quality video rendering app
RenderTune is a powerful and versatile video rendering tool that allows you to effortlessly create stunning videos from your audio and image files. With RenderTune, you can combine single or multiple audio files into one video and even choose the order in which they appear. Customize your output video location, resolution, and padding options to achieve the perfect look for your video. Our latest version (v1.1.3) includes important bug fixes and improvements, such as better support for mp4 video format on iOS mobile uploading, the option to choose your default video render output format, and enhanced ffmpeg support for older Mac versions (High Sierra 10.13+). RenderTune is free and open-source, making it accessible to everyone. Whether you're a content creator, musician, or just someone who loves to make videos, RenderTune is the ideal tool to bring your vision to life. Download RenderTune now and start creating stunning videos today!
