Media Processing Pipeline
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Updated
Feb 14, 2020 - HTML
Media Processing Pipeline
GStreamer-Sharp for .NET Core - GStreamer C# bindings
myUpscaler is a macOS SwiftUI app for AI and non-AI (Lanczos) video upscaling.
AI-driven automated video clipping pipeline for turning long videos into reusable short-form content.
A SMTPE video timecode library for Python
A SMPTE timecode library for Rust
A SMPTE timecode library for Elixir
Autonomous media optimization engine for video libraries: mezzanine→source→profile workflows with quality checks and observability.
AI assisted video editing pipeline | scene analysis, LLM edit planning, ffmpeg rendering, and YouTube publishing.
FFmpeg-based C/C++ pipeline that converts one source video into multiple lower-resolution variants with automated resolution detection and structured output naming.
Origin OS is a creator-first operating system that unifies AI creation, asset and content management, and publishing into a single, extensible platform.
The Soundpad Studio Pipeline is a lightweight utility toolkit designed to optimize audio playback, normalize sample files, and automate hotkey management. In modern streaming and gaming setups, organizing sound lists and converting custom audio files manually can be slow and create uneven volume levels.
Create highlight compilations from Twitch clips with ffmpeg (NVENC). Optional Discord channel sourcing and a guided setup wizard.
A Lightweight, Powerful and Easy-to-Use Automated Media Assistant for macOS - Copy Link → Video Downloads - BETA
Open-source TypeScript backend for AI-assisted story generation, TTS, scene animation, and FFmpeg-based video assembly.
Open-source cloud media processing engine: declarative jobs → deterministic FFmpeg pipelines → progress/logs/artifacts.
A domain-agnostic, production-oriented, high-performance Rust video perception runtime built on GStreamer.
A CLI toolkit for decomposing music into useful timestamps, segments, and derived media.
VigilAI -- Context-aware multi-domain safety platform combining YOLOv8 computer vision with LLM reasoning to transform surveillance footage into structured incident. Detects threats across school, elderly care, construction, and public space domains --with real-time severity scoring, AI-generated incident reports, and a live React dashboard..
🎬 Automated video processing pipeline featuring an optimized FFmpeg engine. Provisioned on cloud infrastructure using modular Terraform blueprints to deliver high-throughput, horizontally scalable media transcoding and stream rendering.
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