Image to Text (OCR)

Extract text from an image online

Optical Character Recognition (OCR) reads the letters in a picture and turns them into text you can edit, search, and paste anywhere — no typing it out by hand.

How to extract text from an image

1. Drop or select a JPG, PNG, or WebP image that contains text.
2. Pick the language of the text, then click Extract Text.
3. Copy the recognized text or download it as a .txt file.

What Image to Text OCR does

This browser-based tool helps you extract editable text from an image without installing desktop software or sending the selected file to an image-processing server. It creates plain text recognised by an in-browser OCR engine. The editor is intentionally focused: it exposes the controls needed for this task and shows the result before you save it.

The available controls cover OCR language, recognition start, editable result, copy and text-file download. Use the original file when possible, review the preview at a useful zoom level and keep the untouched source after downloading. A browser tool can make the requested pixel operation convenient, but it cannot recreate missing detail or judge whether an image is suitable for every destination.

A reliable step-by-step workflow

1. Choose a clear source image in one of the formats shown by the upload field.
2. Wait for the preview to appear and confirm that orientation, colours and transparency look as expected.
3. Adjust OCR language, recognition start, editable result, copy and text-file download. Make one meaningful change at a time so it is easy to compare the result.
4. Inspect small text, faces, edges and transparent areas before downloading.
5. Save the result with a descriptive filename and keep the original separately.

If the destination specifies pixel dimensions, file weight or a particular format, check those requirements independently. Editing appearance does not automatically satisfy a size limit, and converting or compressing afterward may change the result again.

Understand the controls and downloaded file

The tool accepts JPG, PNG and WebP and uses browser-based WebAssembly. Language data may need to load before recognition begins.

The live preview is designed to show the intended visual result, while the downloaded file is the item to inspect before publishing. Browser previews may be scaled to fit the page, so open the saved file at 100% when sharpness, alignment or small lettering matters. Avoid repeatedly editing and saving a lossy JPG when you still have the original available.

Practical uses

• Copy printed text from a screenshot.
• Recover a paragraph from a clean scan.
• Create a draft transcription for manual correction.

The same operation can be part of a longer workflow. A typical sequence is to crop unwanted areas first, perform the creative change, resize to the final pixel dimensions and compress only at the end. This avoids spending processing time on pixels that will later be removed and lets you judge compression on the actual final image.

Quality, accuracy and important limitations

OCR is not guaranteed to be exact. Handwriting, curved pages, decorative fonts, low contrast, small characters and complex tables can produce errors. Proofread names, numbers and legally important text against the image.

Image quality depends strongly on the source. A high-resolution original normally leaves more room for cropping and resizing, while a small screenshot or previously compressed download may already contain blur, ringing or block artefacts. Saving a new file cannot restore information that is absent from the source. When accuracy matters, compare the finished file side by side with the original.

Private browser processing and device performance

The selected image is processed locally by JavaScript and browser canvas APIs. The editing operation does not require the file to be uploaded to the Image Online Free server. This is useful for ordinary personal and work images, but you should still control where downloaded copies are stored and who can access your device.

Large images require more memory because the browser must decode the compressed file into pixels. A modern camera photo may occupy far more memory than its file size suggests. If a phone tab becomes slow, close unused applications, process one large file at a time or resize a copy before applying the effect.

Common mistakes to avoid

• Replacing the only copy of the original with an edited or compressed result.
• Judging sharpness only from a small fitted preview instead of opening the download.
• Assuming a visual edit also meets a website's dimensions or maximum file-size rule.
• Ignoring transparency when moving between PNG, WebP and JPG.
• Applying several lossy saves when the complete workflow could start again from the original.

Continue with the right related tool

Choose the next operation according to the final requirement. Resize changes pixel dimensions, crop removes part of the frame, compression targets file weight and conversion changes the file format. These are separate tasks, even when a destination asks for several of them together.

FAQ

Is my image uploaded to a server?

No. The OCR engine runs in your browser with WebAssembly. Your image and the extracted text stay on your device.

Which languages are supported?

English, Italian, Spanish, French, German, Portuguese, Dutch, Russian, Chinese (Simplified), Japanese, and Arabic. Pick the one that matches your text before extracting.

Why does the first run take a few seconds?

The first time you use a language, the recognition model is downloaded from a public CDN and cached. Later runs in the same language are much faster.

How accurate is the text recognition?

Accuracy depends on image quality. Clean, high-contrast printed text is recognized very well; handwriting, low resolution, or heavy noise reduce accuracy.

Can it read handwriting?

It is optimized for printed and typed text. Handwriting may work partially but is not guaranteed.

Is there a file size or page limit?

You can process one image at a time up to 50 MB. There is no daily limit because everything runs locally.