About the Project
This project was inspired by the need for content creators to efficiently repurpose long-form YouTube videos into engaging short-form content for social media. In an era where attention spans are shrinking, creators must quickly generate content that resonates with their audience. The idea of automating the extraction of impactful quotes and turning them into visually appealing posts for X (formerly Twitter) was born from this need.
What I Learned
Throughout this project, I learned how to work with Canva SDK, a tool I was unfamiliar with before. I discovered its great potential for generating content and how it can streamline the creative process for content creators.
How I Built It
The project was built by first utilizing YouTube transcripts, which were then processed with a Large Language Model (LLM) using LangChain. This allowed me to extract content from the transcripts that could be used as posts on X (formerly Twitter). Finally, all the extracted information was integrated into Canva SDK to generate the shorts.
Challenges I Faced
The primary challenge was learning and familiarizing myself with Canva SDK, as it was a tool I had no prior experience with. However, through its comprehensive documentation, I was able to achieve the goals I had set for the project.
Built With
- canva
- langchain
- node.js
- react
- typescript
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