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 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.