How to Edit Text in an Image Online: A Browser-Based Guide
Select detected text or refine a mask, repair a suitable local background, adjust replacement text, and download a PNG.
Learn browser-based workflows for selecting image text, refining a local repair mask, adjusting replacement typography, and editing screenshot text.
Select detected text or refine a mask, repair a suitable local background, adjust replacement text, and download a PNG.
Compare local AI inpainting, colour or gradient reconstruction, manual correction, and overlays for different image backgrounds.
For mockups and documentation, repair suitable local UI backgrounds and check font, colour, spacing, and baseline before use.
Learn what a browser screenshot text editor can change, which repair path fits the background, and when to edit the source instead.
Upload the PNG, select an OCR result or draw an OCR box, remove the original letters with a tight mask, enter the replacement, and export a new PNG. The workflow is strongest on clear text over flat colours or smooth gradients; detailed textures need a smaller mask and closer review.
A flattened image rarely reveals its original font file. Start with the closest font category, then match letter height, width, weight, spacing, baseline, colour, outline, and shadow in that order. Exact matching is possible only when the original font is available; otherwise aim for a visually consistent substitute.
Start with the highest-quality JPEG you have, avoid resizing it before editing, keep the removal mask close to the old letters, and inspect the repaired background at 100%. Downloading the result as PNG avoids another JPEG encoding step, but it cannot restore detail already lost in the source JPEG.
A browser-based image text editor can process image pixels on your device without requiring an account or intentionally uploading the image to an editing server. The application code, OCR models, repair models, fonts, and other assets still have to download through the network, so local processing does not mean the page makes no network requests.
Use an image-to-text or OCR transcription tool when you need copyable text outside the picture. Use an image text editor when the final picture itself must show different wording. The first workflow extracts content; the second repairs old pixels and adds a visually matched text layer.
Handwriting is harder than printed text because letters vary in shape, spacing, angle, and stroke pressure. Automatic OCR may miss it. For a small correction, draw a manual OCR region, remove only the original strokes, and use a handwriting-style font or a separately prepared handwritten replacement. Exact imitation of a person’s writing is not guaranteed.