I Built an AI Tool for Editing Text Inside Images

A developer has launched EditTextImage, an AI-powered tool designed to replace visible text within existing images while preserving the original layout and style. The tool supports JPG, PNG, and WebP files up to 10 MB and offers a free trial credit without requiring a credit card. The developer acknowledges limitations with complex backgrounds and emphasizes the tool is not intended for deceptive edits.

I built EditTextImage https://edittextimage.net , a small AI tool for one specific task: replacing visible text inside an existing image. The idea came from a familiar annoyance. You have a screenshot, poster, product graphic, or social image that is almost right, but one date, label, price, or typo needs to change. Recreating the asset in Photoshop or another design tool can take much longer than the actual change deserves. So I wanted to make the workflow deliberately narrow: The goal is not to replace a design workflow. It is to help with small, practical text corrections while keeping the original layout, background, lighting, and typography as close as possible. The editor supports JPG, PNG, and WebP files up to 10 MB. New accounts receive one free credit, and no credit card is required to try it. This is AI-assisted image editing, so it is not magic. Results can need another attempt, especially when text is very small, highly decorative, curved, or tightly integrated with a complex background. I would rather be clear about that than promise “pixel-perfect” output in every case. The tool works best when the requested change is focused and the original text is readable. It is also not intended for misleading edits. Please do not use it for government IDs, official documents, currency, copyrighted work you do not own, or any image modification intended to deceive someone. There are already excellent full-featured image editors. I did not want to build another large creative suite with dozens of controls. Instead, I wanted to test whether a constrained workflow could reduce the friction of a very common request: “Can we just change this text?” The product uses AI image editing to handle the visual adjustment, while the interface asks for the original wording and the replacement text to keep the edit specific. You can try it here: edittextimage.net https://edittextimage.net I am still improving the result quality and the overall workflow. Honest feedback is especially useful: which image types work well, which ones fail, and what would make this genuinely useful in your day-to-day work?