Various techniques to manipulate images were introduced in the 19 century and later applied to motion pictures. These techniques improved rapidly with digital video.
In the early 1990s, researchers at academic institutions developed Deepfake technology, which was later fine-tuned by developers in online communities. Recently, deepfakes have attracted a lot of attention for their uses in financial fraud, hoaxes, and fake news.
This has forced the government and industry to detect and limit their illegal use. However, the technology has a lot of potential if used in the correct way.
What Is Deepfake Technology?
Deepfakes refer to manipulated visual content generated by sophisticated artificial intelligence, which yields fabricated pictures and sounds that appear to be real. In most cases, an individual in an existing video or image is replaced with someone else’s likeness.
Deepfakes are created by using deep learning models — a subclass of machine learning methods based on artificial neural networks with representation learning. It involves training generative neural network architectures like generative adversarial networks or autoencoders.
Although it is difficult to create a good deepfake on a conventional computer, there are plenty of tools available on the internet to help people make decent deepfakes. The technology is still in its infancy, so don’t expect the perfect output.
We have carefully gathered a few good deepfake apps and tools that do not require a high-end desktop with powerful graphic cards (except one or two). You can use them either for research purposes or just for fun, but don’t violate anyone’s privacy.
6. Reface: Face Swap Video App
Reface lets you take a selfie and put your face on to a meme or GIF in its library. It takes about 5 seconds for your face to be overlaid on that of Brad Pitt, Leonardo Dicaprio, or Taylor Swift.
You will be surprised after seeing how well your overlaid face adopts the same expressions as the original. You can forward the results to your family and friends, or post them to Instagram.
- Play with live face swaps, gender swaps
- New videos and GIFs are posted daily
- Swap your face with movie characters or celebrities
- Sometimes the app shows ‘unknown error’ and crashes for no reason
The output will be quite weird if there is a lot of facial movement, but overall, it is an interesting experiment. As per the app developers, the image itself is deleted from the servers right after it is processed. However, it saves representations of facial features.
FaceApp is developed by a Russian company Wireless Lab. It uses neural networks to generate highly realistic transformations of faces in photos.
The app can transform your face to make it smile, look older, look younger, or just have fun with gender swap, along with many other exciting transformations. Tattoos, vignettes, lens blur, and background overlays are also a part of FaceApp.
- Perfect your selfies with impression filters
- Easily enlarge or minimize facial features
- Adjust temperatures saturation and more
- Compare before and after at every step
- Free version puts watermake on the processed image
In 2018, the app attracted a lot of attention from the transgender and LGBT communities because of its realistic gender-change transformations. It has also faced criticism on both social media and press over the privacy of user data.
4. Deepfakes web β
Price: $2 per hour
With this tool, you can create deepfake videos on the web. However, the learning curve here is little more than what you would find in other apps.
You need to signup and upload your videos. Everything else happens on the cloud that uses powerful GPUs. It takes nearly 4 hours to learn from video/images and swap faces. You can also use the trained model to swap faces., which takes about 30 minutes.
- Fast and easy to use
- Generates high-quality deepfakes
- Every deepfake has a clear and visible watermark to indicate the video is not real
- Users need to register to use it
The output video quality depends on the ‘loss’ values: the lower the loss values (while learning from uploaded videos) the higher the quality. And of course, only you can access your videos and learning data.
Deepfake quality progress
DeepFaceLab is the leading software for creating deepfakes. It utilizes novel neural networks to replace faces in videos. It is hosted on GitHub and has spawned countless tutorials on the internet.
- An open-source deepfake system
- Flexible, easy-to-use pipeline
- Users can Seamlessly swap and de-age faces
- Includes community-made pretrained models and ready-to-work facesets
- Voice replacement is not included
DeepFaceLab works great, but you need to have the technical knowledge to use it. Once you download and unzip the tool, you will see numerous folders and a series of batch files. There is a folder named ‘workspace’ that consists of all training models, source videos, and the output. The tool works with specific file names and locations so that the batch file can function.
Platform: Windows | MacOS | Linux
FaceSwap is similar to DeepFaceLab, but it provides more features, better documentation, and better online support. And yes, it is also available on Mac and Linux.
It’s an open-source tool packed with functionality to perform every step of the deepfake process, from importing initial videos to producing a final deepfake video. To run this tool, you need to have a powerful graphic card(s), as face-swapping on the CPU is incredibly slow.
- An open-source deepfake system
- Auto-saves your training model, so you can stop at any time
- Generates high-quality deepfakes
- Requires a modern GPU with CUDA for best performance
Powered by Python, Keras, and Tensorflow, Faceswap has an active community supporting and developing the software. There are plenty of tutorials to help you get started.
Zao’s deepfake technology allows you to modulate the voices of celebrities and stitch your face onto an actor’s body in a scene.
Just click one picture and try thousands of trendy hairstyles, clothing, and makeup. The app gives you tons of video clips, outfits, and literally unlimited possibilities to explore.
- Requires only one photo to explore tons of styling possbilities
- Make your own special emoticons
- Get the same style of celebrity with one tap
- Users can’t save or take screenshots
It takes only a few seconds to swap your face, but since the algorithm is mostly trained on Chinese faces, it may not look as natural as you would expect.
Nevertheless, all these tools demonstrate how quickly the underlying AI has evolved: what once required thousands of pictures to make a rather convincing deepfake video now requires just a single picture and yields better outputs.
Other Equally Good Deepfake Tools
7. FacePlay – Face Swap Videos
FacePlay uses a person’s image and a target face to combine the two facial features into one. It’s a simple operation application that helps you through the process of making a video (short clip) of your face.
The app contains numerous face-changing short video templates. Just select one, click your picture, and you will become the protagonist of the video. You can also add special effects to the video and share it with friends. Overall, it’s a fun app to create unique content and get more likes on social media.
8. Adobe’s Project Morpheus
Platform: Adobe products
In 2021, Adobe announced a prototype tool named Project Morpheus, demonstrating the advantages and disadvantages of integrating deepfake technology into its products.
The company is developing powerful video face editing techniques that can automatically modify users’ appearance with smooth and consistent outcomes. For example, the technology will allow users to adjust their age, hair thickness, and other aspects of the face in a video. The aim is to provide an entirely new way of authoring and editing content.
However, the results are not flawless (as of now) and are quite limited in scope in relation to other deepfake tools. Users can only make small changes and can’t do things like face swaps.
Frequently Asked Questions
How does the deepfake tool work?
Deepfake tools are based on a special type of artificial neural network known as autoencoder. It contains two components:
- Encoder – reduces the picture (taken from the original video) to a lower-dimensional latent space
- Decoder – rebuilds the picture from the latent representation
The latent representation consists of crucial data, such as facial features and body posture, which can be decoded with a model trained particularly for the target. The target’s data is superimposed on the underlying facial and body features of the original video.
Modern deepfake tools utilize a generative adversarial network (GAN) to make videos more realistic. GAN is made of two components: generator and discriminator. The generator constructs new photos from the latent representation, while the discriminator spots the errors in the photos. This helps the generator construct photos that mimic reality very well. In this way, both generator and discriminator improve continuously in a zero-sum game.
What are the disadvantages of deepfakes?
Although researchers have made significant improvements in detecting realistic-looking deepfakes, it is estimated that deepfakes might someday become a powerful weapon for hate speech, political misinformation, or spreading lies on social platforms.
The one obvious solution is to use artificial intelligence itself to detect these fake videos. However, to date, reliable deepfake detection program has remained elusive.
Are deepfakes illegal in the US?
You cannot use deepfake apps to spread fake news, defame notable personalities, or cause any harm to people. The US National Defense Authorization Act includes provisions that address the increasing issues of deepfakes.
Why You Can Trust Us?
We tested more than 20 deepfake software, including both free and paid ones. We found that most of the tools available on the internet are either full of bugs or totally useless — only a few applications work properly.
We shortlisted only 8 deepfake tools based on their features and accuracy. Every piece of information is taken from the developer’s website and trusted sources.
RankRed DOES NOT accept paid articles or earn any commission from the featured applications. Moreover, we have two separate reviewers who have no influence over our listing criteria or recommendations.