Copy text from a screenshot
Extract error messages, chat text, interface labels, subtitles, and slide content. The screenshot to text converter puts clipboard input first.
Convert JPG, PNG, WEBP, BMP, photos, and screenshots into editable text. Add an image, choose its language, then copy or download the reviewed result.
Drag an image here, choose a file, or paste an image from the clipboard.

A reliable result starts with a clear image and ends with a careful review.
Choose a file, drag it into the upload area, paste a screenshot, use your camera, or try the sample.
Rotate sideways text. Crop empty margins. Adjust contrast or threshold when the background is faint.
Choose the language used in the image. The correct model helps with alphabets, accents, and word patterns.
Read the visible text, correct mistakes, then copy it or download a TXT file.
| Image formats | JPG, JPEG, PNG, WEBP, and BMP files that the browser can decode |
|---|---|
| Input methods | File picker, drag and drop, clipboard paste, mobile camera, and sample image |
| Tested file limit | Up to 20 MB per image; practical limits also depend on browser memory |
| Output | Editable plain text, clipboard copy, and TXT download |
| Recognition languages | English, Portuguese, Romanian, French, Indonesian, Danish, Polish, German, Spanish, and Russian |
Choose the related tool when the source has a special layout or needs extra preparation.
Extract error messages, chat text, interface labels, subtitles, and slide content. The screenshot to text converter puts clipboard input first.
Photograph printed notes, labels, signs, or book passages. Keep the camera parallel to the page and use even lighting.
Use Extract Table from Image when rows, columns, CSV, or Excel output matter.
Crop, rotate, increase contrast, apply grayscale, or test thresholding with the image text enhancer.
Turn a clean scan into searchable, editable text. Split complex columns into smaller crops when the reading order is mixed.
Select the matching language model before recognition. Read the multilingual image text guide for practical limits.
The browser reads the selected file through standard web file features. Canvas operations can rotate, crop, and change pixel contrast. Tesseract.js then runs the Tesseract recognition engine in a worker.
The engine estimates text regions, lines, words, and character shapes. It returns a draft and a confidence estimate. Confidence supports review, but it does not prove that every character is correct.
For technical background, see MDN guidance on browser file handling and the Canvas API.
Use the detailed image text accuracy guide for difficult photos and scans.
These short explanations cover common tasks, limits, and result-checking steps.
Yes. Add a clear image, choose its language, start recognition, and review the editable text before using it.
Yes. The tool works without an account and creates editable text that you can copy or download.
Upload or paste the image, extract the visible words, correct any errors, and use the Copy Text button.
Yes. Text recognition converts visible printed characters into a draft that you can edit in the result box.
The extraction flow does not use a Picture2Txt image-upload endpoint. Required recognition files load into the browser.
The tool accepts browser-readable JPG, JPEG, PNG, WEBP, and BMP images up to the tested 20 MB limit.
Yes. Use Paste Image or press Ctrl+V on Windows and Cmd+V on macOS.
Blur, small letters, low contrast, rotation, unusual fonts, and the wrong language can reduce accuracy.
Usually. A focused crop removes graphics and gives the engine a smaller, clearer text region.
Simple handwriting may produce partial text, but clear printed text is usually more dependable.
Contrast and sharpening may improve visible edges, but no tool can restore characters that are missing.
Yes. Check names, numbers, dates, punctuation, amounts, and codes against the original image.
An image to text converter uses optical character recognition, often called OCR, to detect printed characters and return an editable draft.
Open Picture2Txt on your phone, choose the camera or photo-library option, select the source language, and start extraction. Review the result before copying it.
Yes. The recognition engine runs in a modern browser, so you do not need a desktop program or an account.
A matching language model helps identify accents, alphabets, character shapes, and common word patterns.
The main tool returns plain editable text. Use Extract Table from Image when row and column relationships matter.
Use it as a draft only. Verify medical, legal, financial, identity, or safety-related text against the original source.