Edit text in poster.
Reuse last year’s design — change only the date.

Upload the finished poster image (PDF or PNG export works), drag a box around the headline, date or text field you want to change, type the replacement, and download. The AI doesn’t need the .ai / .indd / .figma source — it works directly on the rendered image.

Yes, in most cases. The AI samples the original text’s typography from the surrounding pixels rather than referencing a font file, so paid fonts (Adobe Fonts, MyFonts), hand-lettered illustrations and design-system custom typefaces are handled the same as system fonts. The hardest cases are heavily distorted display fonts, which occasionally need a second pass.

Today, one box per generation. For a full poster refresh with 4 fields to update, run 4 generations sequentially (each is roughly 10 seconds and 1 credit). Multi-region edits are on the roadmap.

All outputs are 2K (~2048px on the long edge), which is sharp at A4 / Letter and acceptable for digital signage. For oversized print (A2 and up) work from the original design file or upload a higher-resolution source image.

Only if you have rights to the artwork. Editing copyrighted poster designs without the rights-holder’s permission can be infringement. See our Acceptable Use Policy. The tool works on assets you own or are licensed to modify.

Yes, all of them. The editor doesn’t care about the genre of the poster — it operates on text glyphs and surrounding pixels. The most common use cases by volume: annual conferences (date roll), concert tour additions (city/venue swap), semester course flyers (instructor / time update), retail seasonal campaigns (price / sale dates).

Yes — foil, metallic, gradient and even rasterized texture fills are all sampled from the surrounding pixels of the original text. The AI re-renders the new text with the same fill so a gold-foil 2024 becomes a gold-foil 2025 without you needing access to the source vector or print spec.

Yes. Photograph or scan the printed poster at high resolution under even light. Upload, edit text in the poster in place, re-export. Useful when the original design file was lost (a freelance designer left, a project archive corrupted) or never existed in vector form (a photographed hand-painted poster).

Upload the flyer image (PNG, JPEG or WebP, up to 10 MB) — anything you can export from Canva, Illustrator, InDesign, Photoshop, or photograph from a printed copy. Type the existing text exactly as it appears (date, headline, venue, sponsor, price — whichever is changing), type the replacement, and click Generate. You get back a 2K version with the layout, photography, fonts and colors all bit-identical except for the edited text. No design tools needed and no software to install — the entire flow is in the browser.

To edit text in a PNG image without Photoshop, use an online tool like EditTextImage, which maintains the original font, color, and background. the tool allows you to upload a PNG file and replace text while preserving the original styles through generative inpainting. Generative inpainting fills in the text area without leaving a hole, which is crucial when you're trying to keep the integrity of the surrounding design. Unlike traditional image editors that require manual selection and font matching, the tool automatically samples font weight, color, and angle from the existing image, saving you substantial time. Another alternative is Pixlr X, a less automated but flexible browser-based tool that requires you to manually overwrite text but offers a wide array of font options, though matching the original font can be challenging if you don't have the exact match installed on your system. While both options retain quality, the tool is particularly efficient for fast edits since it returns results in about 10 seconds with resolution up to 2K. Opt for PNG as your output format to preserve the alpha channel and avoid the compression artifacts common in JPEGs. This is especially important if you plan to make further edits or need transparency in your images.

To fix gibberish text in a Stable Diffusion image for free, consider using EditTextImage, which allows you to edit text without re-running the prompt or losing the artistic composition. Stable Diffusion images often contain garbled text due to diffusion-model token-pixel mapping, where text isn’t directly encoded but instead approximated through pixel patterns. An open-source alternative is GIMP, which, while not specifically built for AI image text correction, can be used to manually select and replace text regions. This involves using the text tool to overlay corrected words, though it requires matching the font, size, and style manually. The tool simplifies this by using generative inpainting to match and replace text seamlessly, preserving the original image’s style and context. The process takes about 10-15 seconds and maintains high output quality without incurring additional costs. When using GIMP or similar tools, saving your final work as a PNG ensures that you preserve the alpha channel and avoid lossy compression artifacts that can degrade text appearance upon re-saving. For more extensive editing needs beyond simple free solutions, Adobe Photoshop with the Content-Aware Fill feature can offer more refined edits, albeit with a higher learning curve and cost.

To fix gibberish text in a DALL-E image without losing the design, you can use generative inpainting techniques to edit only the text areas. Generative inpainting allows you to replace the text while preserving the style and context of the original image. Popular tools like Photoshop CC 2025 offer a Generative Fill option that enables precise inpainting, although you need to manually match the font and style for consistency. Alternatively, EditTextImage automates this process, detecting font weight, color, and perspective to seamlessly integrate corrected text into the existing image, delivering the result in about 10 seconds with a 2K resolution. Re-prompting DALL-E often results in different compositions and unpredictable results, especially when dealing with text. Furthermore, attempting to regenerate text with specific instructions like, "Please fix the brand name," frequently fails due to the diffusion model's limitations in understanding text context. Implementing in-place edits is generally more efficient. For best quality, save the edited image in PNG format to maintain sharpness and avoid JPEG's lossy recompression artifacts that can degrade text edges over time.

Fixing gibberish text in Stable Diffusion images without re-prompting involves using generative inpainting tools to clean up only the text area while preserving the rest of the image. Stable Diffusion, like other diffusion models, struggles with text because it maps tokens to pixel patterns without understanding linguistic meaning, causing garbled characters. To tackle this issue, tools like Photoshop CC 2025 offer a Generative Fill feature that lets you select and replace specific text portions. Although effective, this requires manually matching the original font style, color, and alignment, which can be time-consuming. Alternatively, EditTextImage simplifies this by automatically detecting and replicating the surrounding text style, significantly reducing the manual effort. It processes images up to 4K resolution in approximately 12 seconds. Avoid repeated prompts to correct misspelled text, as the likelihood of consistent errors remains high across iterations. In Stable Diffusion, complex phrases, artistic fonts, and abstract lettering bear a 70–85% error chance, particularly for non-English scripts. Save corrected images as PNG files to preserve the alpha channel and maintain crisp edges on the re-rendered text, especially if further edits are anticipated. Adjusting text independently ensures image integrity and minimizes digital degradation from repetitive compression cycles.

Correcting misspelled text in a Stable Diffusion image can be achieved with free online tools that are designed for text editing within images. Stable Diffusion generates text through diffusion-model token-pixel mapping, which often leads to errors in spelling that need manual corrections. EditTextImage offers a free tier that allows you to input the image, identify the text area, and make corrections without altering the rest of the imagery. It uses generative inpainting to replace the incorrect text while maintaining font style and alignment. The process is quick, taking about 10–15 seconds per image. Alternatively, you can use GIMP, a free open-source application that provides tools for manually selecting the text area, removing the incorrect text, and adding the correct version. However, it doesn't automatically match the font or size, so some manual adjustments are required. These methods help avoid the need to re-run the Stable Diffusion model, saving time and computational resources. Remember, saving your final edits in a PNG format can help preserve image quality and avoid loss due to JPEG compression artifacts.

Misspelled words in Flux 1.1 Pro images can be fixed using generative inpainting tools that maintain the original style and composition. The key is to edit only the text area, preserving the rest of the image. One effective method is using Photoshop's content-aware fill, which allows you to manually select the text area and fill it with new content while matching the surrounding texture and colors. This requires some skill to identify the proper font and style manually. Alternatively, EditTextImage offers a solution that automatically detects the font style and color, applying corrections without needing additional input from you. It works within seconds and is ideal for maintaining the original style of Flux-generated images. Another option is Photopea, a free online tool similar to Photoshop, which can handle inpainting tasks but may require more manual adjustments compared to the tool. These tools are useful for fixing text in a movie poster or any other creative work where the style is crucial. For best results, after editing, save your image as a PNG to preserve the alpha channel and avoid lossy compression artifacts, which are common with JPEGs, especially if further edits are planned. Remember, consistency in style and resolution is critical for professional-looking outputs.

Garbled text in Stable Diffusion images happens because the model maps text as a series of pixel patterns, not coherent words. The best way to correct this without additional costs is to use online editing tools designed to alter text in images without re-running the AI model. One effective option is the free version of Photopea, which allows users to layer and edit text regions within a browser interface. You can use Photopea's text tool to redraw the text while maintaining the existing style and composition. Alternatively, EditTextImage offers a specialized service that focuses on correcting text by sampling the font and color from the surrounding area. This approach prevents the need for manual font identification and maintains the text's integration in the image. Re-prompting in Stable Diffusion often results in similar issues, particularly with complex text or decorative fonts, due to the inherent limitations of diffusion models. Instead of risking more garbled outputs, a single targeted edit on the original image can save time and maintain the desired quality. For best results, save the edited image in a lossless format like PNG to preserve the quality of the corrected text and avoid recompression artifacts that are common with JPEG formats.

To fix broken text in a DALL-E generated image without losing the style, you should use a tool that matches the original design elements instead of regenerating the image. DALL-E models often struggle with text because they focus on visual patterns rather than spelling accuracy. One effective approach is using generative inpainting, where tools like EditTextImage or Photoshop's Content-Aware Fill can retain the aesthetic structure of your image while correcting the text. The tool excels by sampling the surrounding style and font characteristics, providing a seamless correction in place without needing external plug-ins or extensive setup. Alternatively, Adobe Photoshop CC 2025 offers a similar feature with its Content-Aware technology, though it may require more manual input to ensure font congruence. It’s important to manually match the font and style, which could take additional time for complex designs. When exporting the edited image, consider saving in formats like PNG to preserve the integrity of your changes. JPEG can introduce artifacts which may degrade the quality of finely detailed text fixes, making it crucial to choose a lossless format where possible. This method ensures both visual fidelity and stylistic consistency are maintained across your project iterations.