Clips AI is an open-source Python library that helps developers automatically convert long videos into clips. It uses a clipping algorithm that analyzes a video’s transcript to identify and create clips, while also offering a resizing algorithm that dynamically reframes videos to focus on the current speaker. To use Clips AI, developers need to install Python dependencies, including `clipsai`, `whisperx`, and `libmagic`. They can then transcribe the video using WhisperX, find clips based on the transcription, and resize the video to different aspect ratios. Clips AI is particularly useful for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
⚡Top 5 Clips AI Features:
- TextTiling Algorithm: Segments long-form audio content into coherent clips using the transcript.
- WhisperX Integration: Utilizes WhisperX for transcribing audio or video files.
- ClipFinder Class: Finds clips in an audio file’s transcription using the TextTiling Algorithm.
- Resizing Algorithm: Dynamically reframes videos to focus on the current speaker, converting the video into various aspect ratios.
- Python Library: Allows developers to automate the conversion of long videos into clips with just a few lines of code.
⚡Top 5 Clips AI Use Cases:
- Podcast Editing: Identifies and creates clips from podcasts, interviews, speeches, and sermons.
- Video Content Repurposing: Converts long videos into shorter clips for social media platforms or other purposes.
- Aspect Ratio Adjustment: Automatically adjusts the aspect ratio of videos to fit specific requirements.
- Automated Transcription: Transcribes audio or video files to enable further analysis and editing.
- AI-Assisted Media Production: Streamlines the process of producing high-quality content by automating tedious tasks.
