Image to Text (OCR)

Extract text from images, screenshots, and scanned documents using OCR.

1

Select Images

Drag & drop images here

JPEG, PNG, WebP, GIF, HEIC, BMP, TIFF, AVIF - Max 50MB

2

Options

How It Works

Three simple steps to transform your images

1

Upload your image

Drag & drop or click to select. Supports JPEG, PNG, WebP and more.

2

Configure settings

Select the language of the text in your image

3

Download result

Get your processed image instantly. No watermarks, no sign-up required.

About Image to Text (OCR)

Extract text from any image online with our free OCR tool. Whether you have a screenshot, a scanned document, or a photo of printed text, our optical character recognition engine will accurately convert it to editable, copyable text.

Our OCR online tool supports five languages: English, Polish, German, Spanish, and French. The auto-detection mode tries all languages and picks the best match. For optimal results, choose the specific language of the text in your image.

For best OCR accuracy, use clear, high-resolution images with good contrast between text and background. The tool preprocesses images automatically to improve recognition of printed text. Handwritten text recognition may have limited accuracy.

Why Use This Tool?

Accurate Text Extraction

Advanced OCR engine extracts text from photos, screenshots, and scanned documents with high accuracy.

5 Languages Supported

Recognizes text in English, Polish, German, Spanish, and French with auto-detection.

Copy & Download

Copy extracted text to clipboard or download as a TXT file instantly.

Use Cases

Who Is This For?

Trusted by professionals and hobbyists worldwide

1

Students Digitizing Lecture Notes

Photograph whiteboard notes or textbook pages and extract editable text for searchable study files.

2

Accountants Processing Scanned Receipts

Extract amounts, dates, and vendor names from receipt photos to speed up expense report entry.

3

Researchers Quoting Print Sources

Copy text from scanned journal articles and book pages instead of retyping lengthy passages manually.

4

Developers Extracting Text From Screenshots

Pull error messages, code snippets, or log output from screenshots for pasting into bug reports.

Pro Tips

Tip 1

Select the Exact Language

Choosing the correct language instead of auto-detect improves accuracy and avoids character confusion.

Tip 2

Crop to the Text Region Only

Remove images, borders, and decorations before uploading so the OCR engine focuses on actual text.

Tip 3

Increase Contrast Before Scanning

Dark text on a bright white background yields the highest recognition accuracy for printed documents.

Tip 4

Use High Resolution for Small Text

Scan at 300 DPI or higher when the text is small to give the engine enough pixel data per character.

Frequently Asked Questions

What types of images work best for OCR?

High-resolution images with clear, well-contrasted printed text work best. Screenshots, scanned documents, and photos of printed text all produce good results. Ensure the text is not blurry or skewed for optimal accuracy.

Can this tool read handwritten text?

Our OCR tool is optimized for printed text. Handwritten text recognition has limited accuracy and results may vary significantly depending on handwriting clarity and style.

Which languages are supported?

We support five languages: English, Polish, German, Spanish, and French. You can select a specific language or use auto-detection, which analyzes the image with all languages and picks the best match.

How accurate is the text extraction?

Accuracy depends on image quality, text clarity, and font type. Clear printed text typically achieves 85-98% accuracy. The confidence percentage shown indicates how sure the engine is about the recognized characters.

Is my image stored after processing?

No. Images are processed in memory and immediately deleted after text extraction. We never store uploaded images or extracted text on our servers.

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