Datamosh
Video Glitcher
A macOS application that applies glitch effects to video files
Datamosh your videos on macOS
104 stars
10 watching
4 forks
Language: Swift
last commit: about 9 years agoLinked from 1 awesome list
datamoshdatamoshingglitchglitch-art
serhii-londar/open-source-mac-os-appsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 lostjared/acid.cam.v2.osx | A video distortion tool that generates artistic visuals using video processing techniques. | 115 |
 crushedpixel/moshpit | A tool for surgically removing data from video files to create a datamoshed version | 109 |
 ardenbutterfield/maim | An audio plugin that generates digital distortions by circuit bending an MP3 encoder | 268 |
 rtrouton/create_macos_vm_install_dmg | Automates creation of macOS installer disk images for virtualization software | 478 |
 sindresorhus/gulp-debug | A plugin to debug Gulp pipelines by logging file streams with customizable output options. | 221 |
 dash-industry-forum/codem-isoboxer | A lightweight browser-based parser for MPEG-4 files | 116 |
 nysol/mcmd | A set of commands for high-speed processing of large-scale CSV data | 33 |
 mdhiggins/sickbeard_mp4_automator | Automates video file conversion and metadata tagging to create a uniform media library | 1,536 |
 wooorm/dioscuri | A tool for parsing and transforming text formats used in online communication | 41 |
 utahiosmac/marshal | A Swift library for safely and expressively working with typeless data structures like JSON and plists | 697 |
 dwarvesf/blurred | A utility that helps reduce distractions by adjusting the opacity of the screen based on user activity | 909 |
 dertuxmalwieder/yaydl | A YouTube video downloader written in Rust. | 287 |
 kuniwak/mirrordiffkit | Provides tools for testing and comparing two instances of any type, including efficient diff functionality. | 184 |
 morozovaliuda/distruct-me | An app that generates and destroys distracting messages with customizable features and encryption options. | 2 |
 wanglimin/tdd | A tool for extracting features from videos using deep convolutional descriptors | 104 |