
Clips AI is an open-source Python library designed for segmenting longform videos into clips and resizing them into various aspect ratios with just a few lines of code. It is tailored for narrative-based videos like podcasts, interviews, speeches, and sermons. Clips AI's clipping algorithm analyzes video transcripts to create clips, and its resizing algorithm dynamically reframes videos to focus on the current speaker. To make use of Clips AI, the video must first be transcribed using WhisperX, which provides additional functionality for detecting start and stop times for each word. Additionally, a hugging face access token is needed for resizing videos using Pyannote for speaker diarization. Instructions for using Pyannote are available on the Pyannote HuggingFace page.
Clips Ai was created by an individual named M. Bain. The company focuses on an open-source Python library that automates the conversion of long-form videos into clips. Clips Ai is designed for audio-centric, narrative-based videos like podcasts, interviews, speeches, and sermons. The technology analyzes video transcripts to identify and create clips and dynamically reframes videos to focus on the current speaker.
To use Clips AI for video clipping and resizing, follow these steps:
Transcription: Begin by transcribing the video using WhisperX, which provides additional functionality to detect start and stop times for each word in the video transcript.
Clipping: Use the clipping algorithm in Clips AI to analyze the video's transcript and identify segments for creating clips. Refer to the clipping reference for trimming the original video into the desired clips.
Resizing: Obtain a Hugging Face access token for resizing the video. Pyannote is used for speaker diarization in resizing. No charges are incurred for using Pyannote. Follow the instructions on the Pyannote HuggingFace page and check the resizing reference for resizing the video to the desired aspect ratios.
By following these steps, you can efficiently convert longform videos into clips and resize them using Clips AI's advanced algorithms.
Clips AI's ability to segment videos based on transcripts is incredibly powerful. It saves me hours of manual editing, especially for my podcast episodes.
The initial setup can be a bit daunting, especially for users unfamiliar with Python, but the documentation helps.
It automates the clipping process, allowing me to focus on content creation rather than tedious editing tasks. This significantly improves my workflow and productivity.
The dynamic reframing feature is a game changer for narrative videos. It keeps the focus on the speaker, improving viewer engagement.
I wish there were more built-in templates for different video formats, but I can create them manually.
It allows me to produce high-quality video content faster, which is crucial for my marketing campaigns. The results are professional and consistent.
The integration with WhisperX makes transcription seamless, and the clipping process is intuitive once you get the hang of it.
It can be resource-intensive, which slows down my computer sometimes when processing large files.
Clips AI streamlines my video editing, allowing me to repurpose long-form content into bite-sized clips for social media, which has increased my audience engagement.
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