media-pipeline

Media Processing Pipeline

GStreamer-Sharp for .NET Core - GStreamer C# bindings

SoundPad Pro is a high-performance soundboard and audio management utility designed for PC gamers, streamers, and content creators. It allows users to play audio files directly hrough voice communication channels (Discord, Teamspak, or in-game voice chat) while simultaneously monioring them locally.

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.

TypeScript library for building multimedia-generation agents: text-to-image, video, speech and audio pipelines with capability-based model routing, automatic cross-model fallback, and BYOK direct provider calls (no gateway). 27 built-in patterns, provider-SDK-free core.

Origin OS solves the fragmented workflow between AI creation, asset organization, approval, and publishing by bringing the entire creative lifecycle into one managed workflow.

Open-source TypeScript backend for AI-assisted story generation, TTS, scene animation, and FFmpeg-based video assembly.

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.

Vehicle Media Pipeline designed to streamline image uploads, extract structured vehicle information, store metadata in MongoDB Atlas, and expose REST APIs for integration.

Editorial Retrieval Fabric — self-hosted media intelligence pipeline: ASR, diarization, identity resolution, semantic search, LLM-driven story assembly

Film making tools, made available as we build them.

Local-first music metadata intelligence: deterministic validation, duplicate analysis, and reviewable cleanup planning without audio downloads.