Extract text from WebP images using OCR for modern web content — Chrome screenshots and design exports. 15 languages. Runs in your browser, no uploads.
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Extract text from WebP images used on modern websites — including Chrome screenshots, UI captures, product pages, and design exports. Works with both lossy and lossless WebP. Supports 15 languages. All processing happens in your browser — your files are never uploaded.
Upload your WebP file or paste from clipboard
Drag and drop your WebP image onto the drop zone, click Browse files to select one, or paste directly with Ctrl+V. WebP files saved from Chrome, exported from Figma or Sketch, or downloaded from modern websites are all supported. Maximum file size is 10 MB.
Select the language of the text
Use the language selector to choose the language of the text in your image. Up to 3 languages can be selected simultaneously for multilingual content. Correct language selection is the most important factor in recognition accuracy.
Enable Grayscale for web graphics with colour backgrounds
WebP images from websites often have coloured backgrounds, gradients, or UI elements that can interfere with OCR. Enabling Grayscale under Image Enhancement strips colour and focuses Tesseract on contrast between text and background, which typically improves accuracy for web-sourced images.
Adjust Contrast for lossy WebP images
Lossy WebP compression can soften text edges similarly to JPEG. If your WebP was exported at a low quality setting, try the Subtle or Strong Contrast option to sharpen text boundaries before recognition. All enhancements run locally and do not modify your original file.
Wait for recognition to complete
The progress bar shows two phases: downloading the language data file (first time only — cached by your browser afterwards) and running OCR. WebP files are typically processed in a few seconds.
Copy or download the result
The extracted text is fully editable — correct any recognition errors directly in the text area. Use Copy to copy to the clipboard, or Download .txt to save as a plain text file. The confidence score shows how reliable the result is.
No — your WebP file is never sent to any server. All OCR processing runs entirely in your browser using Tesseract.js and WebAssembly, so your image stays on your device and is never transmitted anywhere. This is especially relevant for WebP screenshots that may contain sensitive UI data, account information, or personal content from web pages.
The tool supports 15 languages: English, Russian, German, French, Spanish, Portuguese, Italian, Dutch, Polish, Simplified Chinese, Japanese, Korean, Arabic, Turkish, and Ukrainian. You can select up to 3 languages simultaneously for multilingual web content or documents with mixed-language text.
WebP provides smaller file sizes than JPEG or PNG at comparable visual quality, which improves website loading speed. Because of this, most modern websites — including Google, YouTube, and major e-commerce platforms — automatically serve images in WebP format. When you save or screenshot a web page, the images are often already in WebP.
Yes — WebP can be saved as lossy (smaller file, some quality reduction, similar to JPEG) or lossless (no quality loss, similar to PNG). Lossless WebP typically gives better OCR results because text edges are preserved exactly. If you have the choice, export as lossless WebP when the image contains text you want to extract.
Right-click the image in your browser and choose Save image as — modern browsers save it as .webp automatically. Alternatively, take a screenshot of the area containing the text and drop the screenshot directly onto this tool. Screenshots are often the faster option for extracting text from web pages.
WebP works well for OCR, especially for screenshots and web graphics. For scanned documents, TIFF often provides better accuracy because it preserves raw image data without compression artefacts. For UI captures and digital content, lossless WebP and PNG produce similar results — PNG has slightly wider OCR tool compatibility.
Grayscale converts the image to shades of grey before recognition — removing colour noise and UI element colours that Tesseract can misinterpret as characters. Contrast amplifies the difference between light and dark areas, making text edges sharper. Both options are applied locally in your browser; the original file is never modified.
Drop a WebP image here or click to browse
WebP — first, then others · Max 10 MB
You can also paste with Ctrl+V
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