media-processing

Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API & pipelines. Your files never leave your network.

Type-safe FFmpeg bindings for Python & TypeScript — filters, typing, and docs

The self-hostable alternative to Cloudinary

Rendobar CLI: media processing and AI generation from your terminal. Run FFmpeg, compose video, caption and generate images in the cloud.

🌸 your lightning-fast and interactive cli companion to resize, convert, and optimize media in seconds.

Fast FFmpeg and FFprobe for Expo and React Native, powered by Nitro Modules

EvoLink.ai - AI API Gateway

Adaptive Bit Rate Streaming using Spring Boot, S3 and SQS

Universal media processing CLI with an extensible plugin architecture. One tool to process all your media - images, videos, audio, documents, and more.

Official MCP server for Rendobar. Lets AI agents run FFmpeg, compose video, burn captions and generate images, on files from your own disk.

A TypeScript/Node.js video processing library powered by FFmpeg and FFprobe for metadata, format conversion, audio extraction, trimming, splitting, and file operations.

A tool designed to adjust the pitch of audio in YouTube videos without affecting playback speed.

showcase the capabilities of capturing photos and videos using a mobile device. The app leverages the expo-camera, expo-media-library, and expo-av libraries to provide a seamless experience for capturing and managing media

Published n8n community node (n8n-nodes-media-toolkit on npm) providing automation utilities for content creators and rendering pipelines. Features TypeScript tools for media processing, metadata calculations, and social payload formatting. I manage issue triage, PR reviews, CI/CD, and release updates.

From Image and Audio to Talking Video: A Lip-Sync AI Demo with fal.ai

CodecKoala turns plain-English video and audio editing requests into safe, validated FFmpeg commands you can review and run locally.

A self-hosted video processing pipeline — queue, transcode, store, deliver.

Typed TypeScript workflow that turns inbound SMS replies into media delivery jobs.

Typed invite-code onboarding that verifies a captcha and queues creator media processing.

AI lecture-to-microlearning platform on an AWS-native pipeline (S3, Transcribe, Gemini, FFmpeg, CloudFront, Auto Scaling). Converts 3-hour lectures into 6-7 minutes of focused clips (~95% review-time reduction) at 85%+ concept-identification accuracy, validated with a 12-student study retaining ~92% of quiz performance.