How to Use AI to Create, Edit, Improve and Automate Images

In 2026, AI is no longer just a helper tool for working with images — it's the primary tool for most tasks. Photographers, designers, e-commerce businesses and content creators already integrate AI into every stage: creation, editing, quality improvement, and automation of repetitive processes.

This guide covers each of these four categories of use, with the best tools for each purpose and practical tips to get started.

1. Creating images from scratch with generative AI

Text-to-image generation is the best-known application. With a well-written prompt, you can get anything from concept illustrations to hyper-realistic photographs, with no camera, model or studio needed. The three leading platforms in 2026 are:

• Midjourney — the best overall aesthetic quality, especially for artistic and editorial images. Accessed via Discord or its own app.
• DALL-E 3 (via ChatGPT) — best at following precise instructions and generating text within images. Integrates into the ChatGPT workflow.
• Stable Diffusion XL — open source, free, can run locally. Maximum technical control and no commercial-use restrictions on third-party models.

2. Editing existing images with AI

Beyond creating, AI lets you edit real photos with a precision and speed that traditional workflows can't match. The main techniques:

Inpainting — replacing parts of an image

With inpainting, you "paint" the area you want to change and describe what should appear there instead. The model fills it in a way that's consistent with the rest of the photo. Typical uses: removing unwanted objects, swapping out a photo's background, adding elements, and fixing composition mistakes. Tools: Adobe Firefly Generative Fill, Stable Diffusion inpainting, Canva Magic Edit.

Outpainting — expanding the edges of an image

Outpainting extends the image beyond its original edges, generating new content that matches the photo's style and context. Useful for adapting images to different aspect ratios (e.g., turning a square photo into a horizontal banner) without cropping content.

AI background removal

Tools like Remove.bg, Clipdrop and ImageTools' own tool automatically detect the photo's subject and remove the background with pixel-level precision — a task that used to take minutes in Photoshop now takes seconds. Use ImageTools' Background Remover for free.

3. Improving quality with AI

This category covers every situation where you have an image and want it to be technically better:

4. Automating repetitive processes with AI

This is the application with the biggest time-saving potential for anyone working with large volumes of images. Instead of processing one image at a time, you set the rules once and AI applies them to hundreds or thousands of files.

Automation in Adobe Lightroom and Photoshop

Lightroom lets you apply AI edits (Auto Enhance, Denoise, Sky Replacement) in batch mode. Photoshop has Actions and Batch Processing that, combined with neural filters, automate complex workflows. For professional photographers, this cuts post-production time by 70–80%.

AI APIs for large-scale automation

For e-commerce businesses with large catalogs, APIs like Clipdrop, Remove.bg and Replicate let you integrate image processing directly into your systems — every photo a seller uploads can have its background removed, get resized and optimized automatically, with no human intervention.

Metadata and keyword automation

Tools like ImageKit and Cloudinary combine CDN with AI to automatically optimize images as they're served to the user: they pick the best format (WebP, AVIF), resize for the visitor's device, and adjust quality dynamically. Ideal for sites and apps with varied traffic.

Where should you start?

The best way to bring AI into your image workflow is to identify your current bottleneck: which task takes the most time, or produces results below what you need? Start with the AI tool that specifically solves that problem before trying to adopt every solution at once.

Frequently Asked Questions