Clips AI

What is Clips AI?

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.

Who created Clips AI?

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.

What is Clips AI used for?

• Automatically creating social media clips from long-form videos like podcasts
• Saving time for creators
• Audience growth through organic means
• Designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons
• Analyzing video transcripts to identify and create clips
• Resizing videos dynamically to focus on the current speaker
• Converting videos into various aspect ratios
• Utilizing Pyannote for speaker diarization
• Transcribing videos with WhisperX
• Trimming original video into chosen clips
• Automatically creating social media clips out of long-form videos (like podcasts) to save time and grow the audience organically
• Converting longform video into clips for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons
• Segmenting videos into multiple clips and resizing their aspect ratio from 16:9 to 9:16 with just a few lines of code
• Analyzing a video's transcript to identify and create clips using a clipping algorithm
• Resizing videos dynamically to focus on the current speaker using a resizing algorithm
• Utilizing Pyannote for speaker diarization and requiring a Hugging Face access token for video resizing
• Transcribing videos with WhisperX to detect start and stop times for each word before generating clips
• Providing instructions on the Pyannote HuggingFace page for resizing the original video to the desired aspect ratio
• Creating professional, AI-generated videos without the need for editing or design skills using Hour One AI-video generation platform
• Automatically generating professional videos, transcribing, collaborating, optimizing, and publishing with Peech AI platform
• Automatically converting longform videos into clips
• Segmenting a video into multiple clips
• Resizing video aspect ratio from 16:9 to 9:16
• Automatically reframing videos to focus on the current speaker
• Transcribing videos with WhisperX for clip creation
• Utilizing Pyannote for speaker diarization and resizing videos
• Creating social media clips from long-form videos like podcasts
• Saving time for creators in content creation and audience growth
• Enhancing product marketing and engagement through video editing
• Automatically creating social media clips out of long-form videos like podcasts
• Segmenting videos into multiple clips
• Resizing aspect ratios from 16:9 to 9:16
• Dynamically reframing videos to focus on the current speaker
• Helping creators save time and grow audience organically
• Ideal for audio-centric, narrative-based videos like podcasts, interviews, speeches, and sermons
• Requires transcribing the video with WhisperX for clip creation
• Utilizes Pyannote for speaker diarization and resizing videos to desired aspect ratios
• Enhancing video editing and social media content creation

Who is Clips AI for?

• Podcasters
• Interviewers
• Speakers
• Clergy
• Clergypeople

How to use Clips AI?

To use Clips AI for video clipping and resizing, follow these steps:

1. 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.

2. 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.

3. 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.