WebCodecs-compatible media API for Node.js - encode, decode, mux, demux with zero native bindings. Backed by FFmpeg child processes.
Common utility functions for media processing
Media processing library for Node.js
Changestream-triggered media processing tasks (image resize, AI descriptors)
Next generation media processing framework based on WebCodecs
Expo native module for media processing.
Rendobar — serverless media processing for AI agents
N8N custom nodes for video editing and media processing
Media processing of yealink's conference
media processing pipeline
TypeScript client for the Rendobar media processing API
Enhanced TypeScript SDK for S5 decentralized storage with path-based API, media processing, and directory utilities
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Universal media processing CLI with plugin architecture
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Glorious media processing right in your browser with Typescript support
Media processing plugin for Better Media pipeline
WhatsApp Media Processing library for Zaileys
n8n community node for Eranol FFmpeg media processing API
Support files for media processing pipeline
N8N custom nodes for video editing and media processing (Enhanced fork with Speed control and Subtitle fixes)
MCP server for media processing, including ASR speech recognition and TTS speech synthesis
WebAssembly modules for high-performance media processing
⚡ A multithreaded CLI for digital media processing using ffmpeg. If ffmpeg can do it, ffzap can do it - as many files in parallel as your system can handle.
The core library crate for the ffzap cli and ui.
Declarative media processing pipeline DSL — typed filter graph, node composition, and execution planning for OxiMedia
Safe Rust bindings for Apple's AVAssetWriter, AVOutputSettingsAssistant, and AVAssetExportSession on macOS
A set of tools and utilities for doing media analysis and processing.
Crabgrass::Media is the Media engine of Crabgrass. Crabgrass is a web application designed for activist groups to be better able to collaborate online. Mostly, it is a glorified wiki with fine-grain control over access rights. Crabgrass::Media is a rails engine to do media transformations.
Helps you processes the 'XML' (Quotes intentional) from DTI's XML export into valid NITF documents or Story & Media objects
Convert and encode video and media files and content between file formats. On-demand.
Provides endpoints and data processing for public APIs, typically social media.
File extensions and media types, grouped by application and type. Useful when you need to process or restrict processing to certain types of files.
Processes data from the web into a common container, typically from social media.
Hot Potato is an open source real-time processing framework written in Ruby. Originally designed to process the Twitter firehose at 3,000+ tweets per second, it has been extended to support any type of streaming data as input or output to the framework. The framework excels with applications such as, social media analysis, log processing, fraud prevention, spam detection, instant messaging, and many others that include the processing of streaming data.
Using LibVips to process images, Social::Images generates images for use on social media accounts using a simple API.
Super simple ruby client to use the Imagizer Media Engine created by nventify. Imagizer is a real-time image processing engine on top of AMAZON aws. Install the engine using the AWS Marketplace. =You can find it at www.imagizercdn.com.
FlowChat is a Rails framework for building sophisticated conversational interfaces across USSD and WhatsApp platforms. Create interactive flows with menus, prompts, validation, media support, and session management. Features include multi-tenancy, background job processing, built-in simulator for testing, and comprehensive middleware support.
Stylist provides powerful stylesheet management for your Rails app. You can organize your CSS files by media, add, remove or prepend stylesheets in the stylesheets stack from your controllers and views, and process them using Less or Sass. And as if that wasn't awesome enough, you can even minify them using YUI Compressor and bundle them into completely incomprehensible, but bandwidth-friendly mega-stylesheets.
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