Create realistic deepfake videos easily with Deepfakesweb. Our cloud-based AI tool lets you swap faces in videos without training the model, perfect for entertainment, gaming, and satire. Affordable and responsible, with visible watermarks. Try it now!

Our Verdict

Deepfakes Web is a great tool you can use to create realistic deepfake videos. The tool's accessibility, cost-effective pricing, and visible watermarking for ethical use make it stand out in the realm of deepfake generators. While certain limitations exist, such as the dependence on video quality, Deepfakes Web excels as a reliable and user-friendly option.

Our review emphasizes its cloud-based convenience, ethical considerations, and user-friendly interface of this tool. While the visible watermarks and intentional imperfections act as responsible measures, the tool opens avenues for creative expression and entertainment. Whether for gaming, entertainment, or learning, Deepfakes Web stands out as a cost-effective and accessible option. However, users must approach its capabilities with responsibility, mindful of the potential impact on privacy and societal norms.

Ultimately, Deepfakes Web offers a glimpse into the evolving landscape of AI-driven content creation.

Overview of Deepfakes Web


Our team delved into the intricate world of Deepfakes Web, a cloud-based application revolutionizing deepfake technology for the general public. As we navigated through its features, we uncovered the potential and ethical considerations tied to this cutting-edge tool.

Cloud Software

Deepfakes Web operates entirely in the cloud, streamlining the deepfake creation process. Our team found this particularly advantageous, as it eliminates the need for users to have high-end GPUs or extensive computational resources. In our testing, we seamlessly uploaded source and target videos, and the cloud-based processing delivered swift results. This feature not only enhances accessibility but also ensures users can create deepfakes without the burden of complex hardware requirements.

User Privacy

A paramount concern in the realm of deepfake technology is user privacy. Deepfakes Web addresses this by ensuring that only the user has access to their learning data. Our team tested this aspect rigorously, uploading videos and monitoring data handling. We found that the platform adheres to strict privacy protocols, alleviating concerns about data security and unauthorized access. This commitment to user privacy aligns with responsible technology use, making Deepfakes Web a trustworthy choice.

Model Reusability

Deepfakes Web allows users to reuse trained models, fostering efficiency in the deepfake creation process. During our testing, we experimented with various source and target videos, leveraging the model reusability feature. This not only saved time but also showcased the adaptability of the trained models. The ability to reuse models enhances the tool's practicality for users looking to create multiple deepfakes with consistent quality.

Quality Control

The quality of a deepfake often hinges on the source and target video's quality and length. Our team conducted extensive testing with videos of varying resolutions and durations to assess the tool's quality control. We found that, indeed, the quality of the deepfake is influenced by the original video. Users should prioritize using high-quality source and target videos to achieve more realistic and polished results.

Step-by-Step Guidance

Navigating the deepfake creation process can be daunting for beginners. Deepfakes Web addresses this by providing step-by-step guidance. Our team, including those with limited prior experience in deepfake creation, followed the detailed guide to how to upload videos and create deepfakes. The tool's user-friendly interface and comprehensive instructions make it accessible even to those unfamiliar with the intricacies of deepfake technology.

Visible Watermarks

To address concerns about the misuse of deepfake videos, Deepfakes Web adds a clear and visible watermark to indicate that the video is a product of the tool. In our testing, we found these watermarks to be prominently displayed, ensuring that the nature of the content is immediately identifiable. This intentional measure aligns with the platform's commitment to responsible technology use, discouraging the creation of deceptive or harmful content.

Imperfect by Design


Deepfakes Web intentionally leaves imperfections in the generated content to identify it as a deepfake. Our team appreciated this approach, as it underscores the responsible use of deep learning algorithms. During our testing, we observed these imperfections, and while they were noticeable upon close inspection, they did not significantly detract from the overall quality. This deliberate imperfection acts as a visual cue, promoting transparency in the creation process.

Pros and Cons of Deepfakes Web

As our team delves deeper into the intricacies of Deepfakes Web, we uncover a nuanced landscape of advantages and drawbacks. Here, we present a comprehensive overview of the pros and cons associated with this cloud-based deepfake generator.


Cloud-based processing: Deepfakes Web's operation entirely in the cloud is a significant advantage. Our team found this to be a game-changer as it eliminates the need for users to possess high-end hardware. The cloud-based processing ensures that creating deepfakes is accessible to a broader audience, democratizing the use of this technology.

No data sharing: Privacy concerns are at the forefront of deepfake technology. Deepfakes Web addresses this by ensuring that user data is not shared. Our rigorous testing confirmed that the platform adheres to strict privacy protocols, offering users confidence in the secure handling of their data.

Trained models are reusable: The ability to reuse trained models enhances the efficiency of the deepfake creation process and shortens the training process. Our team extensively tested this feature, finding it to be a valuable asset. Reusable models not only save time but also contribute to maintaining consistency in the quality of generated content.

Dependent on video quality: While this can be seen as both a pro and a con, the tool's dependence on the quality of the deepfake depends on the source and target videos ensures that users have a direct impact on the output. Our testing revealed that using high-quality videos significantly improves the realism and overall quality of the deepfake.

Watermarked output videos: Deepfakes Web adds visible watermarks to the output videos, a proactive measure against potential misuse. Our team appreciated this feature during testing, as it aligns with responsible technology use. The watermarks clearly indicate that the content is generated using the tool, discouraging deceptive practices.

Cost-effective: The pricing structure of Deepfakes Web offers a cost-effective solution for users. With a basic plan available at no cost and a premium plan priced at $19 per month, the tool provides accessible entry points for both casual users and those with more extensive needs.

Ease of use: The user-friendly interface and step-by-step guidance make Deepfakes Web accessible to users of varying skill levels. Our team, including those with limited experience in deepfake creation, found the tool easy to navigate, contributing to a positive user experience.

Highly accessible: The cloud-based nature of Deepfakes Web contributes to its high accessibility. Users can create deepfakes without the need for specialized hardware or extensive technical knowledge. This accessibility broadens the tool's user base, inviting more individuals to explore AI-driven content creation.

Visible manipulation traces: Deepfakes Web intentionally leaves traces of manipulation, reinforcing its commitment to responsible use. Our team observed these traces during testing, and while they are noticeable upon close inspection, they serve as a visual indicator of the tool's involvement, promoting transparency.


Cost varies depending on iterations: While the basic plan is free, costs may accumulate for users who require multiple iterations or opt for the premium plan. This variation in cost may be a consideration for users with extensive deepfake creation needs.

Quality heavily reliant on original videos: The quality of deepfakes generated by Deepfakes Web is heavily dependent on the quality of the original videos. Low-quality source or target videos may result in less convincing and realistic deepfakes.

Visible watermarks on all videos: While the addition of visible watermarks is a responsible measure, it also means that all output videos bear these marks. For users seeking pristine, watermark-free content, this feature may be a drawback.

User Reviews of Deepfakes Web

"Made it so easy to make a deepfake, I tried to do it on my computer but it was way too hard and never worked. I use this site every few weeks to make memes for Twitter, never disappointing." Michelle Pharsinger.

"This is a great AI website. I don't know why other people have rated it less than 5 stars, I have made dozens of top-tier AI videos with it. Easy to use, and consistent generations." NSD.

"I tried all the deepfake apps out there as a cinematographer, this is the only service that can produce 10/10 results with enough training." Peter Paradox.

How We Tested Deepfakes Web

Our team rigorously evaluated Deepfakes Web across multiple criteria to offer an informed and comprehensive review. Here are the key aspects we considered during our testing:

Ease of Use: We assessed the platform's user interface, guide clarity, and overall accessibility, ensuring that users of varying skill levels could navigate the deepfake creation process effortlessly.

Speed of Processing: We measured the tool's efficiency in processing source and target videos in real-time, gauging how swiftly users could generate deepfakes without compromising quality.

Quality of Deepfakes: Our team scrutinized the output videos, evaluating the realism, clarity, and overall quality achieved by the tool.

Privacy and Security Measures: We examined the platform's protocols to ensure user data privacy, confirming that Deepfakes Web adheres to strict security measures throughout the deepfake creation process.

Our Review Rating System

We employ a 5-star rating system for all the AI tools we review to give you a comprehensive idea of the overall utility of each tool.

  • Five stars: Editor’s choice
  • Four stars: An excellent choice
  • Three stars: Meets some of our standards
  • Two stars: Doesn’t meet our standards
  • One star: Not recommended

Our team of experts has awarded this AI tool an overall rating of four stars. The cloud-based processing, user privacy measures, and commitment to responsible technology use contribute to its appeal. Its continuous improvement with model reusability and language support further solidify its position as an excellent choice for users exploring the possibilities of AI-driven content creation.

Rating 4/5

Alternatives to Deepfakes Web

In exploring the landscape of deepfake creation tools, our team has identified several alternatives that offer unique features and functionalities, each with its own strengths and limitations compared to Deepfakes Web.


DeepSwap emerges as a formidable alternative to Deepfakes Web, offering AI-based face-swapping capabilities across images, GIFs, and videos. While shares similarities with Deepfakes Web in terms of ease of use and quick deepfake generation, its distinguishing feature lies in detecting and swapping up to six faces, surpassing the face limit of other tools. Its pricing model, starting at $9.9 per month after a limited number of free trials, may be a cost advantage compared to Deepfakes Web's premium plan priced at $19 per month.


DeepFaceLab stands out as a powerful program primarily targeted at researchers and students delving into computer vision. Unlike Deepfakes Web, which emphasizes user-friendliness, DeepFaceLab caters to a more technical audience. While it offers robust deepfake creation and learning opportunities, its complex interface and steep learning curve can be intimidating for casual users seeking simplicity and accessibility. operates as an open-source deepfake application, leveraging Tensorflow, Keras, and Python for face swapping, predominantly used for learning and training purposes in computer science and graphics. In contrast to Deepfakes Web's cloud-based approach, offers a different avenue for enthusiasts and learners, providing hands-on training opportunities. However, its suitability for general users seeking a user-friendly interface and straightforward deepfake creation may be limited.


SwapMyFace positions itself as an AI tool enabling users to effortlessly swap faces in any picture, catering to those seeking quick and amusing face swaps without requiring extensive Photoshop skills. Unlike the feature-limited face-swap focus of SwapMyFace, Deepfakes Web offers a more comprehensive platform for creating deepfake videos, encompassing varied applications beyond simple face swaps. SwapMyFace's automated face swapping may be advantageous for quick and quirky edits but may lack the depth and versatility of Deepfakes Web.

Deepfakes Web FAQ

Below are answers to some of the most frequently asked questions about our Deepfakesweb review.

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