Translate App Store screenshots.
Match the style. Review the layout. New language.

You can translate an existing screenshot without rebuilding it from a design file. Upload one image, enter the phrase you want translated and choose one supported language. Review and download the result, then repeat for other captions and locales. Each generation uses 1 credit. There is no batch job, automatic locale folder or ZIP export, and the final image needs a dimension and content check before store submission.

Edit a supplied caption on the finished screenshot instead of reopening the source design. The AI attempts to match the original lettering and background while translating that phrase. Compare the device frame, callouts, gradients and nearby labels with the source image before using the result. When several captions change, handle them separately and review each generation.

Localized screenshots can help visitors understand your own app, but the effect depends on the product, audience and quality of the translation. EditText has no measured conversion results to promise. Start with the locales you can support, check wording with fluent speakers, and compare outcomes using your own store data. Consult current store documentation for localization requirements.

Exact source dimensions are not guaranteed. Fast uses the 1K tier and paid Pro uses 2K, with actual dimensions depending on aspect ratio and provider output. Check the downloaded file against the current device and store requirements and resize it where necessary. If you need exact dimensions and fully controlled text layout, export from the original design file.

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. Upload one Android screenshot, enter a caption and choose one supported target language. Review and download the result, then repeat for other labels or screenshots. Check the output dimensions against the current Google Play requirements before submitting it.

The AI translates everything in the screenshot — the headline, the app's UI labels, units and dates — and redraws it in the original font style. Store captions are marketing copy where tone and idiom matter, and machine translation can get them subtly wrong, so have a native speaker check each locale before you submit. If one line needs different wording, fix just that line with the single-caption editor on our translate text in image page: type the exact phrase you want and only that text changes.

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.

There is no batch or ZIP export. Process one screenshot, one supplied caption and one target language per generation. Each run uses 1 credit. Download the reviewed images individually, name them for the correct locale and organize the folders yourself before using App Store Connect, Google Play Console or an upload tool.

The language selector supports English, Spanish, French, German, Portuguese, Simplified Chinese, Traditional Chinese, Japanese and Korean. Choose one target language per generation and supply the original phrase. Review spelling, names, numbers and line breaks with a fluent speaker before publishing; visual and translation quality vary by image and script.

Every new account gets 1 free credit — one full-resolution localized screenshot, no watermark, no card required. Beyond that it's prepaid credits with no subscription: one credit per screenshot per language, however much text is on it. Five screenshots in five languages is 25 credits, and a failed image refunds its credit automatically. 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. EditText is one such tool that works efficiently without requiring a download or subscription. To start, you simply upload your PNG image to EditText, which supports files up to 10 MB. It uses generative inpainting to replace the words 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 EditText 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 30 to 60 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.

Text can look different when editing a PNG due to several factors, including subpixel rendering and the availability of system fonts. When you modify text in an image, the rendering might not replicate the original due to differences in how text is displayed on different devices and applications. Subpixel rendering is a technique that uses the individual pixels of an LCD screen to increase the apparent resolution of the text. However, this means that any change or movement of the text can lead to differences in appearance, especially when viewed at different resolutions or zoom levels. Additionally, if your editing tool uses a different font library than the one used to create the original text, discrepancies can occur. For instance, Adobe Fonts and Google Fonts have different sets of available fonts, which can lead to unexpected outcomes when the exact match isn't available. Using tools like EditText, which are specifically designed to match the original font closely, can mitigate these differences. It analyzes the image and selects the closest possible match in terms of weight, size, and style, ensuring a more seamless integration. To maintain color accuracy and text fidelity, it's important to save the edited image in a format that supports alpha channel preservation, such as PNG.

The best free image text editor depends on your specific needs, with EditText being an excellent choice for quick text edits while preserving original styles. This tool specializes in replacing text in images without altering other elements, making it ideal for those needing precise text updates. The tool works by sampling surrounding text attributes and can edit images up to 10 MB in formats such as JPG, PNG, and WebP. It provides results at 2K resolution within approximately 30 to 60 seconds. For broader image editing capabilities, consider using Canva, which includes a range of design tools and templates but might require manual adjustments to ensure text consistency with the original. Both the tool and Canva operate in-browser, negating the need for software installation and ensuring accessibility from any device, whether you're on a Mac, Windows, or even mobile platforms. Canva offers more extensive design features, which could be beneficial if you're working on complex projects or presentations. For those focused on text editing precision, the tool's automatic text style sampling provides a significant advantage in ensuring style consistency, making it a strong candidate as a specialized tool.

When deciding whether Canva or Photopea is better for editing text in an image, it depends on the complexity of the task and the style preservation required. Canva is known for its ease of use and template-based design, offering a straightforward way to add and edit text, though it might not perfectly match existing font styles on images unless the exact font is available in their library. Photopea, on the other hand, is a more advanced tool that replicates many features of Adobe Photoshop and supports complicated edits like maintaining the original font style, size, and color more precisely, provided you know the exact settings to replicate. While Canva excels in creative design and quick edits, Photopea provides greater control over manual adjustments and intricate style matching, which is essential for graphic designers familiar with layer-based editing. For quick, template-driven tasks or design creation from scratch, Canva is a strong choice. If maintaining the integrity of existing text styles within an image is crucial, Photopea may offer better fidelity. Users looking for a balance between these two might consider EditText, which simplifies maintaining original text styles in place using AI-based detection without needing advanced editing skills.