Open Source Python Video Software - Page 4
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Python Video Software
View 248 business solutionsBrowse free open source Python Video Software and projects below. Use the toggles on the left to filter open source Python Video Software by OS, license, language, programming language, and project status.
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YehDown
Yeahdown: Easy-to-use video downloader for Windows
Yeahdown is a straightforward, user-friendly Windows-based application designed to simplify the process of downloading videos and audio from popular websites like YouTube and Vimeo. Perfect for non-technical users, it offers an intuitive interface and fast, reliable downloads. Key features include improved download speeds, support for multiple major video platforms, and real-time updates for new features. Tested on windows 11. -
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Bulk LUTs Previewer 2.8.4
Generate a preview gallery for your LUTs.
Quickly generate a gallery to preview your (Look Up Tables) luts on selected still frame, or video. 1) Import a still image. (jpg, jpeg, png, bmp) *) (Or select video. (mpg, mpeg, mp4, mov, mts, avi, webm, mkv)) 2) Choose path to your lutsfolder. (cube, 3dl, dat, m3d) 3) Generate. (If video selected, use scroll wheel to preview luts) All preview images that is generated is stored in '.\OUT' folder, and then deleted upon restart of the application. > [Changelog] - Version 2.8.4 Fixed: Zoom ratio & dual-screen positioning. luts with same name not being generated. Lowered thumb resolution to handle more items. Added: Lots of quality of life changes. See ZIP file comments or Discussion tab. -
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Ctrax is a machine vision program for estimating the positions and orientations of many walking fruit flies, maintaining their individual identities over long periods of time with minimal supervision, and on average for 1.5 fly-hours automatically.
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PyKaraoke is a cross-platform karaoke player. It currently supports CDG (MP3+G, OGG+G, WAV+G), MIDI (.KAR, .MID) and MPEG formats.
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PyAV
Pythonic bindings for FFmpeg's libraries
PyAV is a Python library that provides direct bindings to FFmpeg, offering fine-grained control over multimedia processing through a Pythonic interface. It enables developers to work with media containers, streams, packets, codecs, and frames, exposing low-level operations while simplifying some of the complexity of FFmpeg. The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. Overall, PyAV is a robust tool for developers building advanced video and audio processing systems in Python. -
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VidGear
A High-performance cross-platform Video Processing Python framework
VidGear is a high-performance Python framework that provides a unified and extensible solution for building real-time video processing applications. It acts as an abstraction layer over powerful multimedia libraries such as OpenCV, FFmpeg, and ZeroMQ, simplifying complex workflows into concise and efficient APIs. The framework is built around modular components called “gears,” each responsible for tasks such as video capture, streaming, encoding, and network transmission. It supports multi-threaded and asynchronous operations, enabling low-latency processing and efficient handling of high-throughput video streams. VidGear is designed to handle a wide range of use cases, including live streaming, video stabilization, screencasting, and distributed video systems. Its emphasis on simplicity allows developers to implement advanced multimedia pipelines with minimal code while maintaining performance and flexibility. -
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Viral-Clips-Crew
Your CrewAI Powered Video Editing Assistant
Viral-Clips-Crew is an AI-driven video processing pipeline designed to generate short-form, engaging clips from long-form video content automatically. It analyzes transcripts and video data to identify the most engaging or “viral” moments, reducing the need for manual editing. The system integrates tools like FFmpeg and AI models to handle segmentation, cropping, and formatting for vertical video platforms. It supports automation workflows that allow creators to produce multiple clips efficiently at scale. The project focuses on content repurposing, helping users adapt long videos into formats suitable for platforms like TikTok and YouTube Shorts. Its modular design allows customization of each processing stage, including selection logic and visual formatting. Overall, it serves as a tool for automating short-form content creation. -
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Slim Camera
Slim Camera - Lightweight RTSP Video Player
Slim Camera is a lightweight RTSP viewer for IP cameras. On first launch, it prompts for the stream URL (saved for future sessions) and runs in the system tray to avoid taskbar clutter. It remembers window position, size, and camera URL via an INI file for seamless reuse. The interface keeps distractions minimal - just the video stream in an auto-sizing window. Right-click the tray icon to change the camera URL, restart the stream, reset window position, or exit. Press F1 to quickly modify the RTSP address. Optimized for low resource usage, it works reliably even on older hardware, making it perfect for background monitoring. With portable settings (single INI file) and focus on core functionality, Slim Camera delivers no-fuss video streaming for users who value simplicity. Support its free, open-source development with a donation at https://boosty.to/slim-camera/donate to help keep it ad-free and growing! -
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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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Automatic YouTube subtitle generation
Using OpenAI's Whisper to automatically generate YouTube subtitles
Automatic YouTube subtitle generation is a command-line tool that combines YouTube downloading capabilities with AI-powered transcription using Whisper models. It allows users to download videos or audio from YouTube and automatically generate subtitles or transcripts. The tool processes media locally, extracting audio and applying speech recognition to produce accurate text outputs. It supports multiple languages and can handle different Whisper model sizes, balancing performance and accuracy. yt-whisperc is designed for automation, enabling batch processing of multiple videos for transcription workflows. It also provides options for exporting subtitles in common formats such as SRT. Overall, it simplifies the process of converting video content into searchable and accessible text. -
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FFmpeg Quality Metrics
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
FFmpeg Quality Metrics is a Python-based tool that evaluates video quality by calculating objective metrics using FFmpeg. It supports widely used metrics such as PSNR, SSIM, VIF, MSAD, and VMAF, enabling detailed comparison between reference and distorted video files. The tool outputs both per-frame data and aggregated statistics like averages and standard deviation, making it useful for research, encoding optimization, and benchmarking. It also includes optional visualization features through an interactive web-based dashboard for analyzing results graphically. Designed for cross-platform use, it integrates seamlessly into automated workflows and supports JSON or CSV output formats for further analysis. This makes it particularly valuable for engineers working on video compression and streaming systems. -
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LiVES
LiVES is a Video Editing System. It is designed to be simple to use, y
LiVES mixes realtime video performance and non-linear editing in one professional quality application. It is designed to be simple to use, yet powerful. It is small in size, yet it has many advanced features. Using LiVES, you can start editing and making video right away, without having to worry about formats, frame sizes, or framerates. It is a very flexible tool which is used by both professional VJ's and video editors - mix and switch clips from the keyboard, use dozens of realtime effects, trim and edit your clips in the clip editor, and bring them together using the multitrack timeline. You can even record your performance in real time, and then edit it further or render it straight away. For the more technically minded, the application is frame and sample accurate, and it can be controlled remotely or scripted for use as a video server. And it supports all of the latest free standards. -
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footswitch2
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 is a media player for transcribers on Linux. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a USB footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a footpedal/footswitch. Control of the media player from LibreOffice can be via Hotkeys or an integrated toolbar. There are multiple timestamp macros, along with media player control macros for Play/Pause toggle Jump backwards Jump forwards Slower Faster Normal Audio speed Jump to timestamp Allows for multiple transcription clients, database export for spreadsheet invoicing. This combination of fs2 and libreoffice unlike some other transcription tools, means you are working in a world class editor, with the ability to save documents in multiple formats, including Microsoft Word formats. -
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myplayer Free Karaoke Software
myplayer Free Karaoke & Media Player Software (Myanmar)
myplayer2k22 is a video player application (Computer Software) that not only lets you easily find and sing karaoke songs, but also lets you easily find and watch movies. Also compatible with Android Phone/Tablet [myplayer remote] app. Karaoke device (PC) doesn't have the song you want to sing, but you can sing with the karaoke song file on your phone, so it's convenient if you have your favorite song on your phone. The playlist can also be managed up and down by hand, as well as emoji images from the mobile app. Fun (text) texts can also be displayed on the TV screen (player display) and can be created as a fun activity. Football match on TV screen in retail stores. the film, It is still possible to show ads while playing songs. VOD using myIPTV feature and m3u playlist file football match You can also watch and enjoy IPTV streams such as news. In addition , you can easily watch movies from cloud movie drives such as Google Drive. -
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vido
Video/Audio Downloader frontend for youtube-dl
Vido is a Video/Audio Downloader frontend for the popular youtube downloader youtube-dl, a rewrite of ytd-gtk by the same team, updated to python 3 using pygobjects and GTK+. Vido now uses yt-dlp, an updated fork of youtube-dl for downloading videos. yt-dlp is faster and supports more sites than the original youtube-dl The program has been tested only on linux and the installation instructions are also provided for the same on our wiki. We do not provide support for windows/mac however if someone wishes to port/compile/distribute the program for windows/mac they are most welcome. Refer to our wiki for details -
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xSTUDIO
xSTUDIO is a high performance playback and review tool.
xSTUDIO is a high performance playback and review tool designed by and for Visual Effects, Animation and Post Production professionals. The application can load and play large collections of media files. The efficient playback engine allows you to quickly load and play high resolution image formats with a wide range of file formats and encoding. Intuitive tools allow you to create and organise playlists and media sub-sets within playlists to build interactive review sessions, image and video reference libraries. A multi-track timeline editing interface provides the facility for loading or creating edits from simple to complex. -
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MediaCrate — Video & Audio Downloader
Save video or audio from various websites with a simple Windows app
MediaCrate is a Windows application for saving video or audio from supported websites. Paste one link for a quick download or prepare an organized queue when you have several items to collect. When the website provides the information, MediaCrate shows the title, thumbnail, available formats, quality choices, and estimated size before downloading. Every item has its own progress and controls, while completed downloads remain available through the local history. Choose video or audio, decide where the file should be saved, and let MediaCrate handle the necessary processing. The installer includes everything you need to get started. It will guide you through installation and install the required components for MediaCrate. Only download content that you are permitted to save. Website: https://www.justagwas.com/projects/mediacrate Documentation: https://github.com/Justagwas/MediaCrate/wiki Source code: https://github.com/Justagwas/MediaCrate -
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8mb.local
Ffree local self hosted video compressor webui
8mb.local is a lightweight, self-hosted local network status dashboard and utilities hub designed to help users monitor devices and services connected to their home or small business network. The platform presents a simple yet informative web dashboard that dynamically updates with device statuses, IP addresses, and latency information, giving users a centralized view of network health without complex dashboards. It also includes basic tools such as ping monitoring, service reachability checks, and port scanning, enabling users to diagnose connection issues quickly and without external services. The emphasis is on minimalism and performance, so it runs efficiently on low-power devices like Raspberry Pis or small containers, making it ideal for home labs or edge deployments. 8mb.local can also notify users of offline devices or connection drops through configurable alerts, helping preempt outages before they become serious. -
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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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BasicSR
Winning Solution in NTIRE19 Challenges on Video Restoration
BasicSR is a deep learning framework designed for advanced video restoration tasks such as video super-resolution, deblurring, and denoising. Unlike single-image restoration models, EDVR addresses the temporal dimension by aligning multiple video frames using deformable convolutional layers in a coarse-to-fine manner, allowing it to effectively handle large motion and complex scene dynamics. The architecture includes bespoke modules (e.g., Pyramid, Cascading and Deformable alignment and Temporal Spatial Attention fusion) that align information across frames and emphasize important features for restoration, enabling state-of-the-art performance on benchmarks such as the REDS challenge. By fusing spatial and temporal context, EDVR produces significantly improved visual quality in restored videos compared with approaches that treat each frame independently. -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage. -
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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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FFmpeg Docker image
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch
FFmpeg Docker image is a collection of Docker images that provide prebuilt FFmpeg environments for media processing, encoding, and streaming tasks. The project compiles FFmpeg from source and packages it with various configurations and dependencies, enabling users to run FFmpeg without installing it directly on their systems. It supports multiple base operating systems such as Ubuntu, Alpine, and CentOS, offering flexibility depending on deployment needs. The images are designed for scalability, making them suitable for encoding farms and distributed processing pipelines. Different variants include hardware acceleration options and minimal builds for optimized performance and size. By isolating FFmpeg within containers, the project ensures consistent environments across development and production systems. Overall, it simplifies deployment and scaling of multimedia workflows using containerization. -
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LinuxPlay
An open-source, ultra-low-latency remote desktop for Linux hosts
LinuxPlay is a multimedia playback project designed to provide a lightweight media player for Linux environments with support for common audio and video formats. It focuses on implementing playback functionality using FFmpeg and native Linux APIs to ensure efficient decoding and rendering. The project demonstrates how to build a media player from scratch, including handling audio-video synchronization and playback controls. It supports local file playback and may include streaming capabilities depending on configuration. LinuxPlay is structured as both a functional tool and a learning resource for developers interested in multimedia systems. Its design emphasizes simplicity and performance, avoiding unnecessary dependencies. Overall, it serves as a practical example of media player implementation on Linux. -
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LiveRecorder
A fully automatic live broadcast recording tool
LiveRecorder is an automated live stream recording tool designed to monitor and capture broadcasts from multiple streaming platforms without manual intervention. It continuously checks specified channels and begins recording automatically when a stream goes live, enabling hands-free archiving of content. The system supports a wide range of platforms including popular global and regional streaming services, making it versatile for different use cases. It relies on tools like Streamlink and FFmpeg to handle stream extraction and recording, ensuring compatibility with various formats. LiveRecorder is built for long-running operation, allowing users to track multiple streams simultaneously over extended periods. It includes configuration options for output formats, storage paths, and monitoring intervals. Overall, it provides a reliable and automated solution for recording live streaming content at scale.
