How AI is redefining the possibilities of image editing
Image editing has long been the domain of skilled professionals using complex software. Making specific, creative changes—like altering the color of a product, adding an object to a scene, or modifying the background—required technical expertise. For marketing teams needing to reduce marketing content production costs, the traditional process represented a major bottleneck. The dependency on specialized designers for even minor tweaks slowed down production cycles significantly.
The constraints of traditional editing workflows
The traditional workflow for creative editing is linear and labor-intensive. A marketer briefs a designer, the designer performs the edits, and a review process follows. This back-and-forth can take days, which is why brands are looking for a AI Ad Generator to bypass these delays. Furthermore, scaling these edits across a full product catalog was nearly impossible with manual labor alone.
If a brand wanted to show its flagship product in ten different settings, it meant ten separate projects. You can now create multiple packshots with AI to solve this issue. This lack of scalability often meant that many creative ideas were abandoned due to budget or time constraints, forcing brands to rely on a limited set of generic visuals that fail to engage modern consumers.
The generative AI revolution in photo manipulation
Generative AI has completely changed the game. Instead of manipulating layers and masks, a user can simply describe the desired change in plain language. For example, a user might use a AI face enhancer to polish portraits or request the AI to “make the background look like a modern office.” The AI interprets this request and performs the edit in seconds, generating a photorealistic result that used to take hours.
This technology empowers non-designers to execute creative ideas directly while allowing experts to iterate faster. Many companies are exploring Leonardo.AI for creative inspiration, though professional needs often require more control. It transforms editing from a technical task into a purely creative conversation. When combined with a AI image upscale tool, the final output remains high-quality even for large-format displays.
Advanced AI techniques: Inpainting and Outpainting
Two key technologies driving this revolution are inpainting and outpainting. Inpainting allows you to select a specific area of an image and replace it with new content generated by AI. This is perfect for changing a model’s clothing or updating a product label. Outpainting, on the other hand, extends the canvas beyond its original borders, creating a seamless environment around the subject. This is particularly useful for adapting horizontal photos into vertical formats for social media. To succeed on these platforms, utilizing the ultimate tool for your LinkedIn posts can help you maintain high engagement with your newly edited visuals.
To maximize performance, teams often use an automatic visual creation tool for ad ab testing to see which AI-generated variations resonate most with their audience. By using an AI personalization engine, these images can even be tailored to the specific demographics of the viewer, ensuring maximum relevance.
The role of AI in Video and Voice
The revolution isn’t limited to static images. Marketing teams are also leveraging Runway ML for advanced video editing. Similarly, creating localized content is easier than ever with an AI voice-over tool or even a full human-like avatar from Synthesia IO. Beyond static assets, platforms like Rephrase.AI offer personalized videos with avatars to further enhance digital communication. These tools, alongside image editing, form a complete ecosystem of generative media. For those managing enterprise-scale projects, understanding MarTech for large enterprises is crucial to integrating these various AI solutions into a coherent workflow.
Brandeploy: Branded and controlled AI editing
Brandeploy is a creative automation and brand management platform that helps enterprise teams scale content production while maintaining total creative control. Unlike public tools that may produce off-brand results, Brandeploy allows brands to apply AI-driven image editing within a governed environment. Our platform ensures that every modification—from background removal to complex object insertion—adheres to your specific brand guidelines. By connecting your PIM and DAM directly to our generative tools, we enable marketing teams to produce thousands of localized and personalized assets in a fraction of the time. To see these capabilities in action and scale your production, you can book a demo with our expert team today.
