Lips-To-Clips

Inspiration

Looking at the content landscape, it's clear that today's world has a deep interest for short and crisp videos. This trend has given a rebirth in the field of video creation. Creators are now seeking efficient ways to utilize this trend, and our inspiration comes from witnessing this bloom. A solution that helps creators to effortlessly craft compelling videos from text.

What it does

All that is required from the user is the textual content out of which he want's to make the video from. The software summarizes the textual input given by the user into points and generates appropriate image for individual points.

After successful generation of image it then reads the entire text and performs emotional analysis on the content, and decides the music to be played in background. Additionally it converts the summarized textual points into AI voice for better viewer experience.

Once all this is successful, it anchors the textual point onto the generated and images and syncs it with the AI voice that reads the textual points. Lastly it stiches the individual components together to make it a 30 seconds long video. Any step along making the process, user has the liberty to make changes and alter any specific part.

Along with making short videos, we also employ Machine Learning here to suggest content based on history of user and current trending topics.

How we built it

To construct this system, we employ Natural Language Processing (NLP) for text summarization and emotional analysis. Leverage Generative Adversarial Networks (GANs) for image generation. Employ Sentiment Analysis for music selection. Utilize Text-to-Speech (TTS) technology for AI voice. Employ video editing libraries for synchronization and stitching. Implement API integrations for seamless execution.