Welcome to Chapter 7! I hope you’re ready to do something really cool, which is to make Filmora do our work for us by using Artificial Intelligence (AI).
We will now gain insight on how to use AI features such as Auto Normalization, which adjusts our sounds based on our clips, or AR stickers, which automatically detects all the faces in the video and places stickers on them, similar to how face filters work.
In this chapter, we will learn about a few cool tricks, as mentioned here:
The first lesson of this chapter is about Auto Normalization. Now, you may be asking, “what’s Auto Normalization?”, or you’re simply just reading along trying to find out, so let’s find out!
So, the simplest way to explain Auto Normalization is that it analyzes the volume of one or multiple clips and adjusts the volume to the standard loudness level of 23.0 Loudness Units Relative to Full Scale (LUFS), which is the standard loudness level for European audio programs. Now that we know what it does, let’s learn how to do it.
First and foremost, we need to double-click on an audio clip or a video clip that contains audio, and once that is done, we need to go to the Audio category and check the Auto Normalization checkbox, as can be seen in the following screenshot.
Figure 7.1: The Edit window for Auto Normalization in Wondershare Filmora 11
Now, you’ll notice the difference before and after activating Auto Normalization, as can be seen in the following screenshots
Here is before:
Figure 7.2: Before Auto Normalization
Here is after:
Figure 7.3: After Auto Normalization
That pretty much sums up Auto Normalization. I know – it’s pretty quick and easy, right? And that is exactly what AI does – it makes our job way easier! Now, on to the next AI feature.
The second feature we will look at is AI Portrait. This feature allows us to remove video backgrounds easily without the use of green screens or the Chroma Key feature and allows users to add different effects and filters such as borders, noise, and glitches.
Something very important to keep in mind is that the AI Portrait feature works best for single objects facing the camera straight on, as multiple people, fast-moving objects, or different lighting can affect the quality of this feature.
So, let’s dig in:
Figure 7.4: An example timeline in AI Portrait
Now, I wish I could show you a video of the effect taking place but unfortunately, we are limited by the fact we can only attach images here, so I’ll leave it as a surprise for you and urge you to try out these effects by yourself and you’ll see how amazing they are!
That brings us to the end of yet another feature that we can use to make our videos better with AI Portrait! Let’s look into AR Stickers now.
AR Stickers is an image-based extension of the effects we’ve seen up to this point, as was the AI Portrait feature we just saw before this. Whereas the AI Portrait feature allows us to mess with the background and surroundings of images, AR Stickers are used to emphasize reactions, add stickers on top of your face, and things of that nature, with fun elements such as bunny ears, panda ears, and pirate features.
An important thing to keep in mind is that the AR Stickers feature works best when it’s applied to one or more people facing the camera, as long as it can detect their faces.
As with all our sections in this chapter, this will be another short one, but important nonetheless. So, let’s start:
We can find our AR Stickers options inside the Effects library and in the AR Stickers category, as can be seen here:
Figure 7.5: The AR Stickers library
And that concludes yet another short section in this chapter about AI. As a side note, you may be interested to know that this is the kind of technology that goes into Instagram and Snapchat filters, as they have an AI to recognize a face and apply an AR Stickers-style feature to it.
Auto Reframe is one of the most ingenious and useful tools I have ever had the pleasure of working with within video editing software. This amazing feature uses AI to automatically detect the focal point of a video and crops it to different aspect ratios while always keeping the focal point in the frame. You can manually choose the aspect ratio you desire and the software does the rest!
Let’s get started with using this feature:
Figure 7.6: The startup window
Figure 7.7: The Auto Reframe window
Once done, the video will be cropped and played at the speed we set. We can preview it before clicking the Export button to export it.
And that is all we need to learn about Auto Reframe! This is a great, easy, and quick way of making videos for YouTube and social media or simply making specialized short films.
AI is a wonderful thing in many aspects and fields, but the fact that Filmora has been able to harness its power to make our video editing easier and more efficient is quite a remarkable feat.
In this chapter, we learned how to make our videos more appealing and engaging with the AI Portrait and AR Stickers features, how to make our audio consistent throughout our video with Auto Normalization, and lastly, how to create quick and easy videos for social media platforms and beyond using Auto Reframe, and all of this was done through an AI algorithm – now, isn’t that amazing?
I hope you enjoyed diving into AI as much as I enjoy using and writing about it. See you in the next chapter, where we will be delving into Filmora assets and how to access and acquire them, young filmmakers!