Translate App Store screenshots.
Same dimensions. Same UI. New language.

Yes. The slow part is rebuilding each screenshot from a design source per language — Figma, then a localized build, then re-capturing in the simulator. If you already have the finished English screenshots, you can skip all of that: upload each screenshot, type the English caption and its translation, and download the localized version at the exact same dimensions. There's no template to maintain and no source file to dig up. Each screen takes about 10 seconds per caption instead of a full design round-trip.

Edit the finished image instead of the source. Because the AI re-renders the translated caption directly into the screenshot — matching the font, weight, color and position of the original text and reconstructing the background behind it — you never touch the design file. When a caption changes or a new language is added, you only edit the text that actually changed. The screen recording, device frame, callouts and gradients stay bit-identical to the version the store already approved.

Apple doesn't require it, but it's one of the highest-ROI ASO moves you can make: localized screenshots are shown to users browsing in that language, and studies from ASO tools like phrase.com and AppTweak report apps that localize screenshots see roughly 20–30% higher conversion in non-English markets. The practical blocker has always been the per-language production cost — which is exactly what translating the finished screenshot removes. Start with your highest-traffic locales and expand as the numbers justify it.

Yes — that's the core advantage of editing the finished capture. Apple requires each localization's screenshots to match the primary language's exact dimensions. Because the tool re-renders text into your existing screenshot rather than generating a new canvas, the output keeps the original pixel dimensions and aspect ratio exactly. A 1290×2796 iPhone 15 Pro Max capture comes back 1290×2796, ready to upload to that locale in App Store Connect without resizing.

Template and plugin tools rebuild your screenshots from a design with live text layers — you import the app UI, lay it into a frame, and export per language. That's powerful if you're designing the marketing screenshots from scratch and maintaining that source. This tool solves the opposite problem: you already have the finished screenshots (or inherited them with no source file) and just need them in more languages. You translate the pixels that exist, no template required.

Yes. The workflow is identical for Google Play Console listings — upload the finished Android screenshot, enter the original caption and its translation, and download at the original dimensions. Because both stores are handled the same way, your iOS and Android screenshots stay visually consistent across languages: same translated copy, same fonts, each in its own native aspect ratio and frame.

You supply the translated wording — the AI does the visual work of removing the original caption and re-rendering yours in the same font, color and layout. This is deliberate: store captions are marketing copy where tone, length and idiom matter, and machine translation often gets them subtly wrong. Draft with DeepL or a localization vendor, review, then paste the final approved line here. You keep control of the words; the tool guarantees the pixels.

The AI fits the translation into the same visual block, adjusting size and letter spacing within the space the original occupied. Expansion is a real ASO constraint — German runs ~35% longer than English, French ~20% — so for tight caption bars, prefer a concise translation variant that keeps the original's visual weight. For headline captions with room to breathe, the re-rendered line adapts cleanly.

You edit one screenshot per generation, so a five-screen set in five languages is a sequence of quick edits. Many teams keep a per-locale folder (es-ES/screenshot-1.png, de-DE/screenshot-1.png…) matching their App Store Connect or Fastlane deliver structure, and save each download straight into it. Each edit is independent and ~10 seconds, so a full localized set is a short, repeatable pass rather than a design project.

Both directions across Latin scripts (English, Spanish, German, French, Portuguese, Italian…), Cyrillic, and CJK — Japanese, Korean and Chinese — for the printed-style UI fonts stores use. The AI samples pixels rather than reading the language, so English → Japanese or Korean → English work the same way. This is especially useful for developers localizing a Japanese or Korean app into Western markets, or vice versa, where redoing the screenshot design per language is the biggest bottleneck.

Every new account gets 1 free credit — one full-resolution localized screenshot, no watermark, no card required. Beyond that it's prepaid credits, one credit per caption edited, with no subscription. A typical single-caption screenshot is one credit; a screen with two stacked captions is two. Credits don't expire, so you can localize a batch when a release ships and stop when it's done.

Localizing your own app's screenshots is exactly what App Store Connect and Google Play Console localization features are for — it's standard, encouraged practice. What's not allowed here is editing screenshots you don't own or altering them to misrepresent another app. Responsibility for uploaded content sits with the uploader; see our Acceptable Use Policy. As always, keep the claims in your screenshots truthful to what the app does.

You can edit text in a PNG image for free using online tools that automatically maintain the original font and style. EditTextImage is one such tool that works efficiently without requiring a download or subscription. To start, you simply upload your PNG image to a tool like the tool, which supports files up to 10 MB. This tool uses generative inpainting to remove the text while preserving the background seamlessly. Unlike manually editing in software like Photoshop, which can be more complex and require font matching, the tool uses the surrounding area to intelligently guess the text style. Another option is Pixlr, a free online photo editor that also allows text editing within images, though it may require more manual input to achieve the same font and style consistency. Pixlr offers a range of tools similar to traditional desktop software and supports layers and advanced editing. After editing, ensure to save your work in the PNG format to maintain transparency, which is a notable feature of PNG files thanks to their alpha channel preservation. This ensures no loss of quality or unwanted background when the edited image is used elsewhere.

Editing text in a JPG image online for free is possible using tools like EditTextImage and Photopea, which allow you to modify text without downloading any software. the tool offers an easy-to-use web interface where you can upload your JPG file, and it automatically detects and replaces text while preserving the original font, color, size, and background. This tool uses generative inpainting, a process that fills in text areas by sampling the surrounding pixels and ensuring that the edited text blends seamlessly with the existing image structure. The result is a high-quality edit without obvious signs of alteration. Photopea, on the other hand, simulates many of Photoshop’s features online, allowing for more manual control but requiring a bit more design skill to match font styles manually. the tool is more automated and outputs 2K results within about 10 seconds, making it ideal if you need quick and consistent edits. Both tools are free, but Photopea may require you to deal with ads unless you opt for a paid version. If you intend to further edit the image, consider saving it in PNG format to avoid lossy JPEG recompression artifacts.

You can edit text in an image online for free using tools like EditTextImage or Photopea, which work directly in your browser without installation. Both options allow you to replace text while preserving the original font style and layout, making it easy to update images without starting from scratch. the tool is specifically designed for text replacement on images, supporting JPG, PNG, and WebP formats up to 10 MB, and it returns high-resolution results in about 10 seconds. It uses generative inpainting to seamlessly integrate new text into your image without visible artifacts. This can be particularly useful if you're working with graphic-heavy images like posters or banners. Photopea, on the other hand, is a more general-purpose image editor similar to Photoshop, supporting online editing without sign-up. While it offers text editing capabilities, you might need to manually match fonts and colors, which can be time-consuming if you're not familiar with graphic design principles such as kerning and baseline shift. If font consistency is crucial, pay attention to the CSS font-family fallback chain, which determines how different browsers render fonts. For straightforward tasks like correcting typos or updating event details, the tool offers a streamlined, automated process, while Photopea provides more control at the cost of complexity.

To fix font mismatch when editing text in an image, use a tool like EditTextImage that automatically samples and replicates the original font style. This tool analyzes the existing text, ensuring the new text maintains the same font, size, weight, and color, making edits appear natural and seamless. the tool operates on images up to 10 MB, delivering results in 2K resolution in about 10 seconds. It is particularly useful when you need to ensure text continuity without manually matching fonts, which can be complex due to issues like kerning and leading that affect text appearance. An alternative is Adobe Photoshop, which provides advanced text editing capabilities, but it requires manual font identification unless you're working with known design files. Photoshop can adjust text placement with tools like baseline shift, however, it might be more time-consuming compared to automatic tools. If font mismatch continues to be a problem, ensure that the original fonts are available on your system. Fonts often differ due to the CSS font-family fallback chain that substitutes unavailable fonts with the closest alternative, leading to discrepancies. Always confirm font availability or use a tool that accurately samples and replicates styles to minimize mismatch issues.

When you copy text from an image, the font often looks different due to the CSS font-family fallback chain and system font availability. Images do not contain actual text fonts; instead, they are rasterized or vector graphics that represent the text visually. When you use OCR (Optical Character Recognition) tools like Adobe Acrobat to extract text, the software typically assigns a default system font to the copied text, which may not exactly match the original due to font availability on your device. Furthermore, variations in kerning and leading can cause the text layout to appear differently when pasted into a document or application. EditTextImage, while designed primarily for editing text within images, can also serve as a tool for analyzing and replicating text attributes within the image itself, preserving the visual style rather than extracting the text. If you need to ensure a match to the original font style, you may want to manually find and install the font used in the image. Adobe Fonts and Google Fonts can be useful repositories for finding similar typefaces. Keep in mind that some fonts used in images might be custom or proprietary, making them harder to replicate exactly.