Image editing with ai

The Paradigm Shift: How AI is Revolutionizing Image Editing

AI’s Role in Automating Mundane Tasks

One of the most immediate and impactful benefits of AI in image editing is its ability to automate repetitive and time-consuming tasks.

This frees up creative professionals to focus on higher-level artistic decisions rather than getting bogged down in pixel-level adjustments.

• Background Removal: AI algorithms can now accurately detect subjects and separate them from their backgrounds with astonishing precision, often in seconds. This was once a tedious process involving manual masking or intricate selection tools. For e-commerce businesses, this means faster product photo preparation, directly impacting sales velocity. Studies show that images with clean, white backgrounds convert 2-3x better than cluttered ones.
• Image Upscaling and Denoising: AI can intelligently enlarge images without significant loss of quality, by predicting and generating new pixels based on existing data. Similarly, denoising algorithms can effectively remove digital noise, especially from low-light photos, while preserving crucial details. This is particularly useful for restoring old photos or enhancing images captured on less powerful cameras.

Enhancing Creative Possibilities with AI

Beyond automation, AI is unlocking entirely new creative avenues, allowing artists to achieve effects that were previously impossible or extremely difficult. The concept of image editing with AI prompt is a prime example of this, where natural language commands dictate complex visual changes.

• Style Transfer: This fascinating AI application allows you to transfer the artistic style of one image e.g., a painting by Van Gogh onto another image e.g., a photograph of your cat. The AI analyzes the textures, brushstrokes, and color palettes of the source style and applies them cohesively to the target image. This has opened up new possibilities for unique artistic expressions and personalized digital art.
• Smart Portrait Adjustments: AI can intelligently detect facial features and allow for non-destructive adjustments like reshaping facial structure, adjusting lighting on a subject’s face, or even changing expressions, all while maintaining realism. This is a must for portrait photographers and retouchers.

Key AI-Powered Image Editing Tools and Their Features

The market for AI-powered image editing tools is expanding rapidly, with both established software giants and innovative startups vying for market share. Understanding the core features offered can help users choose the best fit for their needs, whether it’s for simple touch-ups or complex image manipulation with AI.

Corel PaintShop Pro and AI Enhancements

Corel PaintShop Pro has been a staple in the image editing world for decades, and it has consistently embraced AI to enhance its capabilities. Picture into painting canvas

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It offers a robust suite of tools that appeal to both beginners and advanced users.

• AI Denoise: Reduces unwanted noise in photos while preserving sharp details, ideal for low-light or high-ISO shots. This feature leverages advanced algorithms to differentiate between noise and actual image data, resulting in cleaner, crisper images.
• AI Upsampling: Magnifies images without pixelation, maintaining clarity and detail. This is crucial for preparing smaller images for large prints or high-resolution displays. Benchmarking shows it can upscale images by up to 600% with minimal artifacting.
• AI Artifact Removal: Cleans up JPEG compression artifacts, common in web images, restoring image quality. This is particularly useful for photos downloaded from the internet or highly compressed sources.
• AI Background Replacement: Easily swaps out backgrounds with intelligent selection and blending. It’s often cited for its speed and accuracy, reducing background removal time by 80% for many users.
• AI Portrait Mode: Automatically detects faces and applies bokeh blur to backgrounds, simulating a professional portrait lens. This saves significant time compared to manual selection and blurring.
• AI HDR: Merges multiple exposures to create stunning high dynamic range images with enhanced detail in both highlights and shadows. This process is highly automated, simplifying a traditionally complex technique.
  • Get started today: If you’re looking for a powerful tool with integrated AI features and a commitment to user experience, consider PaintShop Pro. You can even grab a great deal with a free trial included: 👉 PaintShop Pro Standard 15% OFF Coupon Limited Time FREE TRIAL Included.

Adobe Photoshop and Creative Cloud AI

Adobe Photoshop remains the industry standard, and its integration of AI, primarily through Adobe Sensei, has kept it at the forefront of innovation in image editing with AI.

• Neural Filters: A suite of AI-powered filters that can perform complex adjustments with ease. Examples include:
  • Smart Portrait: Adjusts facial features, age, expression, and gaze.
  • Depth Blur: Adds depth of field effects.
  • Harmonization: Matches the color and tone of one layer to another.
• Object Selection Tool: Uses AI to quickly and accurately select individual objects within an image, making precise edits much simpler.
• Sky Replacement: Automatically detects the sky in a photo and allows for easy replacement with pre-set or custom skies, with AI intelligently matching lighting and perspective.

Online AI Image Editors Free and Paid

For those who prefer cloud-based solutions or need quick, accessible tools, numerous online AI image editors have emerged, many offering edit image with AI prompt free access for basic functionalities.

• Canva: While primarily a design tool, Canva has integrated AI features like background removal, magic erase object removal, and text-to-image generation directly into its interface, making it incredibly user-friendly for everyday designers and marketers. Over 100 million users leverage Canva’s AI features monthly.
• Remove.bg: A specialized tool dedicated solely to AI-powered background removal. It boasts over 100 million images processed daily, highlighting the sheer demand for this AI capability.
• Fotor: Offers a range of AI tools for photo editing, including AI photo enhancer, object remover, background remover, and AI image generator. It’s a versatile option for quick edits and creative exploration.
• DeepMotion Animation Focus: While not strictly an image editor, tools like DeepMotion leverage AI to convert static images into animated characters, showcasing the broader applications of AI in visual media.

Understanding the AI Behind the Magic: What is AI in Photo Editing?

To truly grasp the power of image editing with AI, it’s helpful to understand the foundational technologies driving these advancements. It’s not magic, but rather sophisticated computational models that learn from vast datasets.

Machine Learning and Deep Learning

At the heart of AI in photo editing lies machine learning, a subset of AI that enables systems to learn from data without explicit programming. Photoes photos

Deep learning, in turn, is a specialized branch of machine learning that uses neural networks with multiple layers hence “deep” to identify complex patterns.

• Neural Networks: These are computational models inspired by the structure and function of the human brain. They consist of interconnected nodes neurons organized in layers. Each connection has a weight, and during training, these weights are adjusted to allow the network to learn.
• Convolutional Neural Networks CNNs: CNNs are particularly effective for image recognition and processing. They can automatically and adaptively learn spatial hierarchies of features from input images. For instance, a CNN can learn to recognize edges, then corners, then parts of objects, and finally entire objects. This is critical for tasks like object detection, facial recognition, and image classification, all of which underpin AI photo editing features. Data shows CNNs have reduced image classification error rates from over 25% in 2010 to under 3% today.

Training Data and Model Development

The effectiveness of any AI model hinges on the quality and quantity of its training data.

AI photo editing models are trained on massive datasets of images.

• Labeled Datasets: For tasks like background removal, AI models are trained on millions of images where the foreground subject and background have been meticulously labeled. This allows the AI to learn what constitutes a “subject” versus a “background.”
• Generative Adversarial Networks GANs: GANs are a type of neural network architecture that consists of two competing networks: a generator and a discriminator.
  • Generator: Creates new data e.g., generates a plausible extension to an image or a new object based on a text prompt.
  • Discriminator: Tries to distinguish between real data and data generated by the generator.
  • Through this adversarial process, the generator gets better at creating realistic output, and the discriminator gets better at identifying fakes. GANs are behind many of the impressive generative features, such as creating realistic textures or expanding images with new content. Research indicates that GANs have achieved a 50% improvement in perceptual quality for synthesized images in the last three years.
• Reinforcement Learning Limited Application: While less common in direct image manipulation, reinforcement learning could be used in more complex, iterative editing processes where the AI learns the best sequence of operations to achieve a desired aesthetic outcome.

Ethical Considerations in AI Image Manipulation

While the capabilities of image manipulation with AI are awe-inspiring, they also raise significant ethical questions. As AI makes it easier to create hyper-realistic but entirely fabricated images, the line between reality and deception blurs.

Deepfakes and Misinformation

The most prominent ethical concern is the rise of “deepfakes” – synthetic media in which a person in an existing image or video is replaced with someone else’s likeness. Picture for sale online

• Political and Social Impact: Deepfakes have the potential to spread misinformation, manipulate public opinion, and even incite conflict. A fabricated video or image of a public figure making false statements could have severe real-world consequences. The number of detected deepfake videos has reportedly increased by over 900% annually since 2019.
• Reputational Damage: Individuals can be targeted with malicious deepfakes, leading to severe reputational damage, harassment, and emotional distress.
• Erosion of Trust: As it becomes harder to discern real from fake, public trust in visual media, news, and even personal interactions could erode significantly.

Copyright and Ownership of AI-Generated Content

As AI generates increasingly sophisticated art and imagery, questions of copyright and ownership become complex.

• Creator Identity: Who owns the copyright of an image generated by an AI based on a human’s text prompt? Is it the user who provided the prompt, the developer of the AI model, or the AI itself? Different jurisdictions are proposing various approaches, but no universal consensus exists.
• Ethical Sourcing of Data: Ensuring that training data is ethically sourced and used, without violating privacy or existing intellectual property rights, is a critical challenge for AI developers.

Bias in AI Models

AI models, being trained on human-curated data, can inadvertently inherit and amplify existing societal biases.

• Representational Bias: If an AI is trained predominantly on images of certain demographics, it may perform poorly or generate biased results when encountering underrepresented groups. For instance, an AI designed to “beautify” images might reinforce Eurocentric beauty standards if trained primarily on images of individuals from European descent.
• Algorithmic Bias: Biases in the training data can lead to discriminatory outcomes. This highlights the importance of diverse and carefully curated datasets and ongoing ethical audits of AI models.
• Accountability: Establishing clear lines of accountability when AI-generated content causes harm due to inherent biases is a growing legal and ethical challenge.

Practical Applications for Businesses and Professionals

Image editing with AI isn’t just a novelty. it’s a powerful tool that offers tangible benefits across various industries, from small businesses to large enterprises. The ability to automate and enhance visual content production has significant economic implications.

E-commerce and Product Photography

For online retailers, high-quality product images are paramount.

AI streamlines the entire process, making it faster and more cost-effective. Best selfie editing app

• Consistent Backgrounds: AI can quickly remove backgrounds, allowing e-commerce businesses to maintain a consistent look for all their product listings, which is crucial for brand identity. Studies show that consistent branding increases revenue by up to 23%.
• Virtual Try-On/Styling: Some advanced AI models can place products e.g., clothing, furniture onto virtual models or into different environments, reducing the need for expensive photoshoots.
• Batch Processing: AI-powered tools can apply edits to hundreds or thousands of images simultaneously, dramatically reducing the time spent on preparing inventory for online stores. A large e-commerce firm reported reducing their image processing time by 75% using AI batch editing.
• Product Swapping: AI can change colors, textures, or even materials of products in an image without re-shooting, allowing for efficient showcasing of variations.

Marketing and Advertising

Visuals are the backbone of effective marketing and advertising campaigns.

AI allows marketers to create more compelling and targeted content faster.

• Personalized Visuals: AI can generate variations of ad creatives tailored to specific audience segments, for instance, by changing models, settings, or product colors based on user demographics or preferences. This leads to higher engagement rates, with some campaigns seeing a 20-30% uplift.
• Content Creation at Scale: Agencies can produce a large volume of unique images for social media, banner ads, and campaigns using generative AI, significantly reducing reliance on stock photography or custom photoshoots.
• A/B Testing Optimization: AI can generate multiple versions of an image, allowing marketers to quickly A/B test which visual performs best, leading to data-driven optimization of campaigns.
• Localizing Content: AI can subtly alter images to resonate with different cultural contexts, for example, by changing visible landmarks or culturally specific elements.

Architecture, Interior Design, and Real Estate

Visualizing spaces is crucial in these fields.

AI accelerates the rendering and modification process.

• Virtual Staging: AI can virtually furnish and decorate empty rooms in real estate listings, making properties more appealing to potential buyers without the cost of physical staging. This can increase buyer interest by 15-20%.
• Architectural Visualization: Architects can use AI to quickly iterate on design concepts, changing materials, lighting, or even the surrounding environment in their renderings.
• Remodel Previews: Homeowners and designers can visualize renovations before they happen, using AI to swap out flooring, wall colors, or furniture in existing photos.

Art and Creative Industries

While some view AI as a threat, many artists are embracing it as a powerful new medium and collaborative partner. Video clipping tool

• Conceptual Art: Artists can use AI to rapidly generate myriad ideas and concepts, exploring styles and themes that might be difficult to visualize otherwise.
• Digital Painting Augmentation: AI tools can assist in creating textures, patterns, or even entire background elements, allowing digital painters to focus on the core artistic vision.
• Restoration of Old Photos: AI excels at repairing damaged photographs, removing scratches, colorizing black and white images, and enhancing clarity, breathing new life into historical archives. Over 70% of historical photo archives are now being digitized and enhanced with AI.

The Future of Image Editing: Beyond Current Capabilities

The rapid pace of innovation in AI suggests that today’s cutting-edge features will be commonplace tomorrow. The future of image editing with AI promises even more intelligent, intuitive, and integrated workflows.

Hyper-Realistic Generative Models

Expect generative AI models to become even more sophisticated, producing images that are virtually indistinguishable from real photographs, with greater control over subtle details and emotional nuances.

• Video Generation from Still Images: AI could seamlessly generate entire video sequences from a single still image, complete with realistic motion, lighting, and environmental interactions.
• 3D Model Generation from 2D Images: Advanced AI will likely be able to reconstruct detailed 3D models from a single 2D photograph, revolutionizing fields like gaming, VR, and product design.
• Semantic Editing: The ability to edit images based on meaning rather than pixels will become more profound. Imagine saying, “make the subject look happier,” and the AI subtly adjusts their expression, lighting, and posture to convey that emotion.

Seamless Integration and Personalized Workflows

AI will become less of a separate tool and more of an invisible assistant integrated directly into creative applications and operating systems.

• Context-Aware AI: AI will proactively suggest edits or improvements based on the image content and the user’s typical workflow. For instance, if it detects a portrait, it might suggest skin retouching or lighting adjustments.
• Voice and Gesture Control: Image edit with AI text is just the beginning. Future interfaces may respond to voice commands for complex edits or even interpret subtle gestures to manipulate image elements.
• Cross-Platform Consistency: Edits made on a desktop application could seamlessly sync and be available for further refinement on a mobile device, with AI optimizing the content for each platform.

Enhanced Accessibility and Inclusivity

AI has the potential to make professional-grade image editing accessible to a wider audience, including those with disabilities.

• Automated Alt-Text Generation: AI can accurately describe image content for visually impaired users, improving web accessibility.
• Simplified Interfaces: AI can streamline complex interfaces, presenting only the most relevant tools based on user intent, making advanced editing less daunting for beginners.
• Bias Mitigation: As research progresses, future AI models will be designed with stronger bias detection and mitigation strategies, ensuring more equitable and representative outputs. This will involve more diverse training datasets and rigorous ethical reviews throughout development.

The Intersection of AI and Artistic Vision

While AI offers unprecedented power in image editing with AI, it’s crucial to remember that it is a tool. The true magic still resides in the human artistic vision, creativity, and discernment. Number canvas

AI as a Co-Pilot, Not a Replacement

Think of AI as an incredibly intelligent co-pilot that can handle the tedious, technical aspects of image manipulation, freeing the artist to focus on the conceptual and aesthetic choices.

• Speeding Up Iteration: AI allows artists to rapidly experiment with different looks, styles, and compositions, accelerating the creative process. Instead of spending hours on a single variation, multiple options can be generated in minutes.
• Overcoming Technical Barriers: For artists who may lack specialized technical skills in complex software, AI provides a pathway to realize their creative ideas without a steep learning curve.
• Inspiration and Exploration: AI can generate novel interpretations or stylistic variations that might not have been conceived by human imagination alone, acting as a springboard for new ideas.

The Human Element Remains Paramount

Despite AI’s growing capabilities, the human touch remains indispensable for truly impactful image creation.

• Aesthetic Judgment: AI can apply filters or effects, but only a human can truly judge what looks “good” or what effectively conveys a specific emotion or message. Art is subjective and deeply human.
• Storytelling: Images are powerful tools for storytelling. While AI can create visuals, the narrative, the context, and the emotional resonance of an image ultimately come from human intent and interpretation.
• Ethical Oversight: The human editor is the ultimate gatekeeper, responsible for ensuring that AI-generated content is used ethically, responsibly, and without perpetuating harmful biases or misinformation. As the tools become more powerful, this responsibility grows.

Responsible Use of AI in Image Editing

As the capabilities of image editing with AI continue to advance, so too does the responsibility of users and developers to ensure its ethical and beneficial application. Misuse can lead to significant societal harm, from spreading misinformation to infringing on rights.

Transparency and Disclosure

One of the most critical aspects of responsible AI use is transparency, especially when dealing with generated or heavily manipulated content.

• Labeling AI-Generated Content: Users should consider clearly labeling images that are entirely AI-generated or significantly altered by AI, particularly in news, social media, or other contexts where authenticity is expected. This helps prevent the spread of misinformation and maintains public trust. Some platforms are already implementing automated detection and labeling.
• Disclosing AI Involvement in Creative Works: In professional contexts, especially where artistic integrity or originality is a concern, artists should be transparent about the extent to which AI contributed to their work. This fosters a fair and honest creative ecosystem.

Combating Misinformation and Deepfakes

Given the potential for misuse, proactive measures are essential to mitigate the risks associated with AI-driven manipulation. Canvas paper for painting

• Developing Detection Tools: Researchers are continuously developing more sophisticated AI models to detect deepfakes and manipulated images. These tools analyze subtle anomalies that humans might miss. Over $1 billion has been invested in deepfake detection research globally in the last three years.
• Watermarking and Content Provenance: Technologies like digital watermarking or blockchain-based content provenance systems could help track the origin and modification history of images, providing a verifiable chain of custody for digital media.
• Platform Responsibility: Social media platforms and content hosts bear a significant responsibility in implementing policies and technical measures to flag, remove, or limit the spread of harmful AI-generated misinformation.
• Legal and Regulatory Frameworks: Governments and international bodies are exploring legal frameworks to address the malicious use of deepfakes and other AI-generated content, focusing on accountability and penalties for misuse.

Prioritizing User Privacy and Data Security

The use of AI in image editing, particularly with cloud-based tools, raises important questions about data privacy.

• Consent for Data Usage: Users should be fully informed about how their images are used for training AI models and have the option to opt-out if they prefer their data not be used for such purposes.
• Anonymization of Sensitive Data: When AI models are trained on datasets containing personal or sensitive information e.g., faces, locations, robust anonymization techniques must be employed to protect individual privacy.
• Secure Data Handling: AI service providers must adhere to strict data security protocols to prevent breaches and unauthorized access to user images and personal information. Regular security audits and compliance with regulations like GDPR are essential.

By embracing these responsible practices, we can harness the incredible power of image editing with AI while safeguarding against its potential pitfalls, ensuring it remains a tool for creation and enhancement rather than deception or harm.

Frequently Asked Questions

What is AI in photo editing?

AI in photo editing refers to the use of artificial intelligence algorithms and machine learning models to automate, enhance, and generate elements within images.

This includes tasks like background removal, object recognition, smart retouching, style transfer, and generating new content based on text prompts.

Can you edit an image in Illustrator using AI?

Adobe Illustrator is primarily a vector graphics editor, not a traditional photo editor. Best videography editing software

While you can import raster images into Illustrator and perform basic manipulations, it doesn’t have the sophisticated AI-powered photo enhancement features found in dedicated raster image editors like Photoshop or PaintShop Pro.

For complex photo editing and AI effects, dedicated software is better.

How do I edit image with AI text?

To edit an image with AI text, you typically use a “generative fill” or “text-to-image” feature found in advanced AI image editors e.g., Adobe Photoshop’s Generative Fill, Midjourney, DALL-E. You highlight an area of the image or select an empty canvas and then type a descriptive text prompt e.g., “add a fluffy white cloud,” “change the sky to a sunset,” or “remove the person and fill the background”. The AI then generates content based on your text.

What are the best software for image editing with AI?

Some of the best software for image editing with AI include:

• Adobe Photoshop: Offers advanced AI features like Generative Fill and Neural Filters.
• Corel PaintShop Pro: Provides a comprehensive suite of AI tools including AI Denoise, AI Upsampling, and AI Background Replacement.
• Canva: Integrates user-friendly AI features like background removal and magic erase for quick designs.

Can I do image manipulation with AI for free?

Yes, there are several free or freemium online tools and mobile apps that offer basic image manipulation with AI features, such as background removal e.g., Remove.bg, simple object removal, and some text-to-image generation with usage limits. Full-featured or professional AI editing often requires a paid subscription or software purchase. Coreldraw company name

What is an AI image editing prompt?

An AI image editing prompt is a text command or instruction given to an AI model to guide its modification or generation of an image.

For example, a prompt could be “remove the car from the street,” “change the subject’s shirt to blue,” or “add a rainbow over the mountains.” The more descriptive and clear the prompt, the better the AI’s output typically is.

How does AI remove backgrounds from images?

AI removes backgrounds by using machine learning models, specifically convolutional neural networks CNNs, trained on vast datasets of images with subjects and backgrounds precisely segmented.

The AI learns to identify the boundaries of the main subject and then intelligently masks or removes everything outside of that boundary, often filling the removed area with transparency or a solid color.

Can AI enhance image resolution?

Yes, AI can significantly enhance image resolution through a process called “upscaling” or “super-resolution.” AI algorithms predict and generate new pixels to intelligently enlarge an image without the pixelation or blurriness that occurs with traditional resizing methods, preserving or even improving detail. Best recording and editing software

Is AI photo editing difficult to learn?

No, one of the biggest advantages of AI photo editing is its ease of use.

Many AI features are designed to be highly intuitive, often requiring just a single click or a simple text prompt, making advanced edits accessible even to beginners who don’t have extensive knowledge of traditional editing tools.

What are the ethical concerns of AI image manipulation?

Ethical concerns include the creation and spread of deepfakes and misinformation, potential for reputational damage, copyright and ownership issues of AI-generated content, and the perpetuation of biases present in the AI’s training data.

How can AI improve productivity in image editing?

AI improves productivity by automating repetitive tasks like background removal, object removal, batch processing, accelerating creative iteration generating multiple options quickly, and simplifying complex operations that previously required manual, time-consuming effort, freeing up designers and photographers to focus on more creative aspects.

What are Neural Filters in AI image editing?

Neural Filters are a suite of AI-powered features, primarily found in Adobe Photoshop, that allow users to perform complex, often artistic, edits with simple sliders. Photo artist near me

Can AI help with photo restoration?

Yes, AI is highly effective for photo restoration.

It can automatically repair damage like scratches, tears, and dust specks, remove noise, enhance sharpness, and even colorize old black and white photographs with impressive accuracy.

Is AI image editing suitable for professional photographers?

Absolutely.

While AI won’t replace the artistic eye or professional judgment of a photographer, it serves as a powerful assistant.

It can automate tedious retouching, speed up post-processing workflows, and unlock new creative possibilities, allowing professionals to deliver high-quality results more efficiently. Wordperfect training

How does AI handle lighting adjustments in photos?

AI can intelligently analyze the lighting in an image and make smart adjustments.

This includes relighting a subject, harmonizing lighting across different elements, adjusting exposure and contrast non-destructively, and even simulating different times of day or lighting conditions, often using models trained on vast datasets of varying lighting scenarios.

Can AI change facial expressions in portraits?

Yes, advanced AI models, like those found in Photoshop’s Neural Filters Smart Portrait, can detect facial landmarks and subtly alter expressions, age, gaze, and even hair thickness, while maintaining a realistic appearance.

This is done by understanding facial anatomy and how expressions manifest.

What is Generative Fill in AI image editing?

Generative Fill is a powerful AI feature popularized by Adobe Photoshop that allows users to seamlessly add, remove, or extend content in images by simply typing a text description. Art store website

The AI generates new pixels that blend naturally with the existing image, enabling tasks like expanding backgrounds or adding new objects.

How accurate is AI in detecting objects for removal?

AI object detection for removal has become remarkably accurate, especially with recent advancements in deep learning models.

While perfect 100% accuracy is challenging for every scenario, modern AI tools can accurately identify and isolate a wide range of objects, often achieving results that are difficult to distinguish from manual editing.

What’s the difference between traditional editing and AI editing?

Traditional editing relies on manual manipulation using tools like brushes, selections, and filters, requiring significant user skill and time.

AI editing, conversely, automates many of these tasks by using intelligent algorithms that understand image content, often requiring only minimal input from the user e.g., a click or text prompt to achieve complex results. Art newsletter

Is it permissible in Islam to use AI for image editing?

From an Islamic perspective, the permissibility of using AI for image editing largely depends on the intent and content of the edited images. If the editing is for permissible purposes, such as enhancing family photos, creating educational materials, designing permissible products, or improving visual clarity for legitimate business, then it is generally permissible. However, if AI is used to create or promote images that are forbidden in Islam e.g., deepfakes for misinformation, images promoting indecency, idolatry, or deception, then it would be impermissible. The core principle is that tools are neutral. their permissibility is determined by how they are applied in alignment with Islamic values and Sharia.