This repository contains example projects built with Revideo. If you prefer to learn by looking at code examples rather than reading through docs, this is a great place to get started with Revideo.
Below you can find a list of Revideo projects along with a quick summary, focused on teaching different aspects (deployment, animations, etc.). All the individual project folders have a README to help you get started.
-
SaaS Template (Default Project + NextJS): This is a NextJS project that demonstrates how to include Revideo in a SaaS application. If this is your first time using Revideo, this is probably what you're looking for. - (project folder)
-
Default Project: This is a simple project that demonstrates the basic structure of a Revideo project. It includes an audio file and a background video - (project folder)
-
Transparent AI avatar with background image: This is a very simple example of a video of an AI avatar speaking with a background image. It is mainly meant to demonstrate how to use transparent videos in Revideo (project folder)
-
Marketing Templates: A template for a post on social media advertising black friday discounts. (project folder)
-
Stitching together videos: This is a simple project that demonstrates how you can append videos one after another. It also includes an animation for a transition between videos - (project folder)
-
Youtube shorts with animated subtitles: This example project generates Youtube Shorts with AI. It generates scripts with ChatGPT, voiceovers with Elevenlabs, and background images with Dall-E. This project has a heavy emphasis on animating subtitles - (project folder)
-
Animation for 1,000 Github Stars: A fun animation celebrating 1,000 Github stars for Revideo - (project folder)
-
Code Explainer Video for Rive Animations: An explainer video showcasing how you can use Rive animations inside of Revideo. Worth taking a look at to learn about our
<Code/>and<Rive/>component. (project folder)
-
Parallelized Rendering with Cloud Functions: This example project also uses Cloud Run, but enables faster rendering by distributing the rendering work across a large number of cloud functions - (project folder)
-
Parallelized Rendering with AWS Lambda: This example project shows you how you can do parallelized rendering with AWS Lambda - (project folder)