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Python Video Streaming microervice | supports HLS, MPEG-DASH and HLS with fmp4 segments (CMAF), this project uses gRPC protocol for communication and S3-compatible object storage. The multi-stage dockerfile of project uses Python3.9.2 and FFmpeg4.1
Free, 100% client-side tool to remove Google Gemini and Veo 3 AI watermarks from images and videos using mathematical alpha unblending with zero quality loss.
AI-powered video generation backend built with TypeScript, Express, AWS SDK, and fal.ai API. Automates image upload, model invocation, and S3-based video storage for seamless generative media workflows.