Image Text EditorAI-powered online tool to edit or replace text in images and screenshots with automatic font matching

Image Text Editor is a web-based tool for editing text inside existing images without traditional photo-editing software. Instead of working with layers, masking, or manual font selection, users upload an image and type a plain-language instruction describing the change they want — for example, swapping "50% OFF" for "60% OFF" or replacing a place name. The tool uses AI to detect the original text and regenerate it in place, attempting to match the surrounding background, lighting, font style, size, and color. The product is aimed at people who need quick text edits but don't have design skills or access to tools like Photoshop — marketers updating promotional copy, e-commerce sellers changing prices or labels on product photos, and social media creators tweaking captions or memes. A recurring emphasis throughout the site is screenshot editing, positioning the tool for updating app screenshots, website captures, and social posts where text needs to change but the visual context should stay intact. The workflow is straightforward: upload a JPG, PNG, or WEBP file (up to 5MB), enter a prompt describing the desired text change, preview the result, and download the edited image. The site notes that being specific about the new text and whether to preserve original font, size, and color improves results. The service runs on a credit system, with free credits granted to new users on registration. The main appeal is speed and accessibility — replacing manual layer editing and font-hunting with a single text instruction. The automatic font matching is the headline feature, intended to make edits blend in naturally. As with most AI image-editing tools of this kind, results can vary depending on image complexity, font rarity, and background texture, and the 5MB upload limit and credit-based pricing are practical constraints to keep in mind. It competes with general AI image editors and inpainting tools, but differentiates by focusing narrowly on the text-editing use case.