SubtitleAI uses advanced AI speech recognition to transcribe spoken audio in video files into text, then applies AI-powered translation to convert transcripts into target languages. It supports single or batch processing of local video files (e.g., MP4, MKV) and exports subtitles as SRT files or burns them directly into videos. Users configure API keys for speech-to-text and translation services, specify languages, and run simple CLI commands. With options for timestamp adjustments and subtitle styling, SubtitleAI streamlines subtitle creation and localization workflows for content creators, educators, and marketers, eliminating manual transcription and translation steps.

VideoCutterAI leverages computer vision and AI-driven scene detection algorithms to analyze video frames and identify natural transition points. Users can specify sensitivity thresholds, select output formats, and process multiple videos in batch mode. After cloning the GitHub repository and installing dependencies, a single command triggers automatic scene analysis, ffmpeg-based cutting, and export. The tool outputs neatly named clip files, preserving original quality. Developers can customize the detection model and integrate the cutter into existing pipelines. Suitable for quickly generating highlights, breaking down lengthy recordings, or preparing footage for further editing, VideoCutterAI streamlines the video post-production workflow from input to clip generation with minimal manual effort.