Wan2.2 is an open-source AI-powered video generation tool that uses Mixture-of-Experts (MoE) architecture to create professional cinematic videos from text prompts or static images. It provides precise cinematic motion control, lighting, color, and composition adjustments. Built for filmmakers, researchers, and content creators, Wan2.2 delivers stable, realistic video synthesis at 480P and 720P resolutions, running efficiently on consumer hardware.

VideoCutterAI is a Python-based open-source application designed to automate video slicing tasks with AI. It analyzes visual and audio cues—such as scene changes, speaker transitions, silence gaps, and subtitle timestamps—using computer vision and signal processing techniques. Users can configure parameters like clip duration, overlap margins, and sensitivity thresholds to fine-tune output segments. The tool integrates with FFmpeg for fast, lossless cutting and supports batch processing of entire video folders. Advanced options include face-detection-based segmentation and keyword-triggered cuts when paired with ASR transcripts. As a flexible CLI or library, it plugs into custom pipelines for creating social media snippets, lecture highlights, or automated broadcast clips, saving significant editing time.