Media Processing Pipeline
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Updated
Feb 14, 2020 - HTML
Media Processing Pipeline
GStreamer-Sharp for .NET Core - GStreamer C# bindings
A SMTPE video timecode library for Python
A SMPTE timecode library for Rust
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 SMPTE timecode library for Elixir
FFmpeg-based C/C++ pipeline that converts one source video into multiple lower-resolution variants with automated resolution detection and structured output naming.
Create highlight compilations from Twitch clips with ffmpeg (NVENC). Optional Discord channel sourcing and a guided setup wizard.
Open-source cloud media processing engine: declarative jobs → deterministic FFmpeg pipelines → progress/logs/artifacts.
A Lightweight, Powerful and Easy-to-Use Automated Media Assistant for macOS - Copy Link → Video Downloads - BETA
Large-scale audio concatenation and normalization pipeline using FFmpeg and PowerShell. Built to process thousands of audio segments into structured long-form outputs.
AI-assisted video editing pipeline — scene analysis, LLM edit planning, Shotstack rendering, and YouTube publishing.
Production-grade video pipeline: TypeScript Express API, Python FFmpeg worker, Kafka queue, PostgreSQL, GCS. Async transcoding, proxy generation, metadata extraction. Demonstrates scalable, service-oriented architecture for media workflows. Built for newsroom use cases.
Automate video editing to create copyright-safe, platform-ready clips quickly using AI-powered tools.
🎥 Build a scalable video processing pipeline to enhance newsroom workflows, ensuring fast uploads and seamless format handling.
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