How to Extract Text from Images Online — Free OCR, No Upload

What Is Image-to-Text (OCR)?

Optical Character Recognition (OCR) is the technology that reads text from images. Instead of manually retyping content from a photo, screenshot, or scanned page, OCR software detects characters and converts them into editable, searchable text.

Common use cases:

• Digitizing paper documents — scan a page and extract the text.
• Screenshots — grab text from an app, error message, or webpage screenshot.
• Receipts and invoices — pull data for expense tracking.
• Business cards — quickly capture contact information.
• PDF images — extract text from PDFs that contain scanned pages rather than selectable text.

How ConvertCraft's OCR Works

ConvertCraft uses Tesseract.js, an open-source OCR engine compiled to WebAssembly and JavaScript. The entire recognition process runs inside your browser:

• No server processing — your images stay on your device.
• Multi-language support — English, Spanish, French, German, Portuguese, and more.
• Image preprocessing — automatic contrast enhancement and de-skewing for better accuracy.
• Copy-ready output — extracted text is selectable and copyable with one click.

Step-by-Step: Extract Text from an Image

1. Open the tool — go to Image Text Extractor or find it under Image Tools.
2. Upload your image — drag a PNG, JPG, WebP, or BMP file onto the drop zone.
3. Select language — choose the primary language of the text in the image (English is the default).
4. Click Extract — OCR processing runs in-browser. Larger images take longer.
5. Review and copy — the extracted text appears in an editable text box. Copy it, edit inline, or download as a .txt file.

Tips for Better OCR Accuracy

1. Use High-Resolution Images

OCR accuracy depends heavily on image quality. A 300 DPI scan gives much better results than a blurry phone photo taken from a distance. When scanning, set resolution to at least 200–300 DPI.

2. Ensure Good Contrast

Dark text on a light background is ideal. If your image has low contrast (gray text on beige paper), adjust brightness and contrast before running OCR.

3. Straighten the Image

Skewed or rotated text significantly reduces accuracy. Rotate the image so text lines are horizontal before uploading.

4. Crop to the Text Region

Remove borders, logos, and decorative elements. The less non-text area the engine has to analyze, the faster and more accurate the result.

5. Choose the Correct Language

OCR engines use language-specific dictionaries and character sets. Selecting the right language improves word recognition, especially for accented characters.

Common Mistakes

Expecting Perfect Output from Handwriting

OCR works best with printed text (typed documents, screenshots, signs). Handwriting recognition is limited — neat block letters may work, but cursive script will produce errors.

Using Heavily Compressed JPEGs

JPEG compression creates artifacts around text edges that confuse OCR. Use PNG for screenshots and lossless formats for scans when possible.

Ignoring Layout Structure

Multi-column layouts, tables, and mixed text-with-images can confuse the OCR engine. For complex documents, consider using the PDF to Text tool which handles structured layouts better.

Privacy: Why Browser-Based OCR Matters

Images you OCR often contain sensitive content — medical records, financial statements, legal documents, personal correspondence. Cloud-based OCR services process your images on remote servers, creating potential privacy risks.

ConvertCraft's OCR runs entirely in your browser using WebAssembly. Your images are never uploaded, never stored remotely, and never logged. This makes it safe for:

• Medical and health documents (HIPAA-sensitive content)
• Financial records and tax forms
• Legal contracts and agreements
• Personal identification documents

Supported Image Formats

• PNG — best quality for screenshots and scans
• JPEG / JPG — photos and camera captures
• WebP — modern web format
• BMP — uncompressed bitmap images
• TIFF — common for high-quality scans

Frequently Asked Questions

How accurate is the OCR?

For clean, printed text at decent resolution, accuracy is typically 95–99 %. Handwriting, low-resolution images, and unusual fonts will lower accuracy.

Can I extract text from a PDF?

If your PDF contains scanned images (not selectable text), use the PDF to Text tool which applies OCR to PDF pages. For PDFs with selectable text, simple copy-paste works.

Does it work on mobile?

Yes. Take a photo with your phone camera, open ConvertCraft in your mobile browser, and upload the photo for OCR. Works on iOS Safari and Android Chrome.

What languages are supported?

English, Spanish, French, German, Portuguese, Italian, Dutch, and more. The language selector shows all available options.

Summary

Extracting text from images doesn't require expensive software or cloud uploads. ConvertCraft's browser-based OCR gives you fast, private, and accurate text extraction from any image. Try the Image Text Extractor now, or explore related tools: PDF to Text, Text to PDF.