3 Background Removers for Ai Images (FREE)🤖

Philip Anders
20 Oct 202305:39

TLDRIn this informative video, the host introduces three free AI-powered tools for background removal from images. The first tool, DGB, allows for batch processing of up to 20 images at once, providing quick previews and decent results. The second tool, Pixel Cut, offers a more hands-on approach with a refine feature that lets users manually adjust the edges of the removed background. Lastly, Clip Drop is highlighted as the presenter's favorite due to its accuracy and ease of use, despite the limitation of only processing one image at a time for free users. The video also briefly mentions a bulk background remover for those with numerous images to process.

Takeaways

  • 🎨 **DGB.Guru Background Remover**: Offers a variety of AI tools, including a background remover that allows for batch processing of up to 20 images at once with a queue system.
  • 🔍 **DGB Results**: The background removal results are generally good, with a choice between a sharp edge (normal) and a more blurred edge (alternative).
  • 🖌 **PixelCut**: Provides a background remover with a user-friendly interface that allows for manual refinement of the removal process with brush tools.
  • 📂 **PixelCut Features**: Users can zoom in and adjust brush size to add or erase parts of the design for a more precise result.
  • 🚫 **PixelCut Limitation**: Only processes one image at a time, which is a downside compared to DGB's batch processing.
  • 🌟 **ClipDrop**: The presenter's favorite tool for background removal, known for its accuracy and ease of use.
  • 🎉 **ClipDrop Accuracy**: Particularly good at handling complex images, such as those with close color matches to the background.
  • 📈 **ClipDrop Limitation**: Free users can only process one image at a time, unlike the paid plan which allows for more.
  • ⚙️ **Bulk Processing**: For users with many images to process, a bulk background remover is suggested, which was demonstrated in a separate video.
  • 🔄 **Refresh and Check**: With DGB, users can refresh the page to check for updates on their queued images.
  • 📁 **Download Options**: Both DGB and ClipDrop offer straightforward download options once the background removal is complete.
  • 🚀 **ClipDrop Interface**: Features a visually appealing website with a clear preview of each tool's function.

Q & A

  • What are the three free tools mentioned in the video for removing the background from images?

    -The three free tools mentioned are Deep Image (dgb.lol), PixelCut, and ClipDrop.

  • How many files can be processed at once with Deep Image's background remover?

    -With Deep Image's background remover, you can drag and drop up to 20 files at the same time.

  • What is the main advantage of using the bulk download feature on Deep Image?

    -The bulk download feature allows you to download all processed files at once, making it easier to manage multiple files.

  • What is the difference between the normal green download button and the alternative download option on Deep Image?

    -The normal green button provides a sharper edge result, while the alternative option may have a more foggy and blurry edge around the subject.

  • How does PixelCut's background remover allow users to refine their results?

    -PixelCut provides a refine feature where users can zoom in and use brush settings to either increase or decrease the size of the brush to erase or restore parts of the design.

  • What is the limitation when using PixelCut's background remover compared to Deep Image?

    -PixelCut allows only one image to be processed at a time, unlike Deep Image which can handle up to 20 files simultaneously.

  • What is the ClipDrop tool's main advantage when it comes to removing backgrounds from images?

    -ClipDrop is noted for its super accuracy and ease of use, making it a favorite for removing backgrounds, especially from more complicated images.

  • How does ClipDrop handle more complex images with elements close to the background color?

    -ClipDrop does a very good job with complex images, even preserving elements like the moon that is close to white and tree branches that could easily be mistaken for the background.

  • What feature does ClipDrop offer that allows users to compare the before and after results of the background removal?

    -ClipDrop has a 'Show or Hide Changes' feature in the top right corner that lets users compare the original image with the background-removed version.

  • Is there a limit to the number of images a free user can process with ClipDrop's background remover?

    -Free users can only process one image at a time with ClipDrop's background remover, unlike the paid plan which allows up to 10 images.

  • What is the recommended approach when using automatic background removal tools according to the video?

    -The video suggests that in most cases, it's best to go for the normal green button for a sharper result, and to manually refine the results when necessary, as no automatic background remover is perfect.

  • What is the video's recommendation for users who need to remove backgrounds from a large number of images?

    -For users with many images to process, the video recommends considering the use of a bulk background remover, which is shown to be effective and easy to use.

Outlines

00:00

🖼️ Free Tools for Background Removal

The video introduces three free tools for removing the background from images. The first tool mentioned is 'dgb LOL', which offers a variety of AI tools including an upscaler, vectorizer, and a background remover. The background remover allows for batch processing up to 20 files, providing a quick preview and a queue system for processing. The results are generally good, with the option to download the processed images through a green button or an alternative method. The second tool is 'Pixel Cut', which is known for its image upscaler but also offers a background remover. Unlike dgb LOL, Pixel Cut processes one image at a time but provides a more refined editing option with brush settings to manually erase or restore parts of the image. The final tool, 'Clip Drop', is the presenter's favorite due to its accuracy and ease of use. It is capable of handling complex images and provides a 'remove background' feature that quickly analyzes and processes the image. The video also mentions a bulk background remover for processing multiple images, which is showcased in a separate video.

05:00

📈 Clip Drop's Background Removal Capability

This paragraph focuses on the effectiveness of 'Clip Drop' for removing backgrounds from images, particularly complex graphics. The presenter demonstrates the tool by uploading a challenging AI graphic and using the 'remove background' feature. Clip Drop performs admirably, accurately preserving fine details that are often problematic for automatic background removal tools, such as the moon and tree branches in the example. The user can view the before and after results and, once satisfied, can download the edited image. The paragraph also suggests revisiting the process with a new graphic if there are multiple images to process.

Mindmap

Keywords

💡Background Remover

A background remover is a tool that allows users to separate the foreground subject from the background in an image. In the video, this tool is used to demonstrate how to remove the background from images using AI technology. It is central to the video's theme as it is the main function being explored.

💡AI Tools

AI tools refer to software applications that utilize artificial intelligence to perform tasks more efficiently and accurately. In the context of the video, AI tools are used for various purposes, including image upscaling, vectorization, and background removal, showcasing the versatility of AI in image editing.

💡Drag and Drop

Drag and drop is a user interface feature that allows users to move or transfer files by clicking, holding, dragging the item to a new location, and then releasing the mouse button. The video script mentions the convenience of being able to drag and drop up to 20 files at once into the background remover tool, highlighting the ease of use.

💡Queue System

A queue system is a method of managing tasks or processes in the order they were received. In the video, after submitting images for background removal, they are added to a queue, which means they will be processed in the order they were submitted. This system is important for managing multiple requests and ensuring fairness in processing time.

💡Multiple Files Processing

Multiple files processing refers to the ability to handle more than one file simultaneously. The video emphasizes the advantage of processing multiple files at the same time, which saves time and increases efficiency when using the background remover tool.

💡Pixel Cut

Pixel Cut is mentioned as a tool within the video that offers an image upscaler and a background remover. It is significant because it provides an alternative method for background removal with the added feature of manual refinement, allowing users to edit the results for more precise outcomes.

💡Refine

To refine means to improve or make something more precise. In the context of the video, the term is used to describe the feature within Pixel Cut that allows users to manually adjust the edges of the removed background to ensure accuracy, which is crucial for achieving high-quality results.

💡Clip Drop

Clip Drop is a tool highlighted in the video for its accuracy and ease of use in removing backgrounds from images. It is the presenter's favorite free method, indicating its effectiveness and user-friendliness. The tool is used to demonstrate the advanced capabilities of AI in background removal.

💡Bulk Download

Bulk download refers to the ability to download multiple files in a single operation. The video script mentions the option to bulk download completed jobs from the background remover tool, which is a convenient feature for users dealing with a large number of images.

💡Alternative Download

An alternative download option provides users with a different method for obtaining their processed files. In the video, it is mentioned that there are two ways to download the results from the background removal process, with one being a normal download and the other an alternative that may yield slightly different results.

💡Opacity

Opacity in image editing refers to the degree to which the background allows the underlying colors or images to be seen. The video discusses how the alternative download option may result in changes in opacity, which could affect the quality of the image, particularly in areas where the background is close to white.

Highlights

The video shares three free tools for background removal from images using AI technology.

The first tool introduced is Deep Image, offering a variety of AI tools including an upscaler and vectorizer.

Deep Image allows users to drag and drop up to 20 files for batch background removal.

Background removal on Deep Image adds files to a queue system with an estimated wait time.

Results from Deep Image are generally good, with the option to download in two different quality modes.

PixelCut is the second tool recommended, known for its image upscaler and now featuring a background remover.

PixelCut enables refinement of the background removal with brush settings for precision.

PixelCut provides an erase function to remove unwanted parts of the design after background removal.

ClipDrop is the presenter's favorite free tool for its accuracy and ease of use.

ClipDrop allows users to remove backgrounds from more complex images with a simple drag-and-drop interface.

The tool provides a 'Show or Hide Changes' feature to compare before and after the background removal.

ClipDrop is capable of handling complex graphics and maintaining fine details.

Free users of ClipDrop can process one image at a time, unlike the paid plan which allows up to 10.

The video also mentions a bulk background remover for processing multiple images efficiently.

All three tools are praised for their ability to remove backgrounds without significant loss to the main subject.

The presenter discusses the limitations of automatic background removal tools and provides tips for optimal results.

The video concludes by emphasizing the practical applications of these tools for users needing to remove backgrounds from AI images.