Image to Text (OCR) Online

Extract text from images online using client-side OCR. Convert PNG, JPG, and WEBP to editable text instantly in your browser.

Drop your image here to extract text

Drag & drop PNG, JPG, WEBP, or click to browse

💡 Tip: You can paste an image directly using Ctrl+V / Cmd+V
Processed locally in your browser — your images are never uploaded to our servers
🔒 Processes locally in your browser — no files, code, or images are uploaded to our server.

Secure Client-Side Image OCR

The Image to Text (OCR) tool offers a quick and secure method to extract text from images, scanned documents, screenshots, and receipts. Using client-side Optical Character Recognition (OCR) powered by WebAssembly, this tool runs entirely in your web browser.

By performing all document and image scanning locally on your device:

  • Your images remain private: No photos, documents, or processed texts are uploaded to external servers. Confidential invoices, screenshots, and typed records are processed only in browser memory.
  • Immediate results: Extract text without waiting for network file uploads. Processing begins immediately as Tesseract runs locally on your machine’s CPU threads.
  • Completely free to use: Extract text from unlimited images without registering, paying, or hitting hidden limits.

Multiple Input Methods and Multi-Language Support

This tool is designed to fit seamlessly into modern workflows:

  • Pasting Images directly: Hit Ctrl+V or Cmd+V to paste an image copied directly from your clipboard or screenshot utility. No need to save the file first.
  • Drag and Drop: Drag an image file from your system explorer directly into the dropzone.
  • Multi-Language OCR: Choose from multiple languages, including English, Spanish, French, German, Chinese, Japanese, Hindi, and Portuguese. The OCR engine dynamically loads the correct language model to ensure high-accuracy character recognition.

How to Convert Image to Text Step-by-Step

Follow these instructions to extract text:

  1. Load Image: Drop an image file, click to browse, or paste an image directly from your clipboard.
  2. Adjust Layout & Preprocess (Optional):
    • If the image is sideways or upside down, use the Rotate Left or Rotate Right buttons to align the text upright.
    • If the document contains shadows or poor contrast, check the B&W Scan Filter and adjust the threshold slider until characters look clear and sharp.
  3. Select Language: Choose the language corresponding to the text in the image.
  4. Run OCR Engine: Click Extract Text.
  5. Monitor Progress: Check the live progress bar as the engine initializes, loads the language traineddata files, and parses the layout.
  6. Copy or Download: The output panel displays the extracted text. Click Copy to Clipboard or download the output as a .txt file.

Frequently Asked Questions (FAQ)

Is it safe to upload images of private records?

Yes. DwellixTools processes all character recognition locally in your browser. No files, images, or texts are uploaded to our servers, ensuring your data remains completely secure on your machine.

Which image formats are supported?

The OCR tool supports all major browser image formats, including PNG, JPEG, JPG, WEBP, BMP, and GIF.

How can I improve text extraction accuracy?

For best results:

  • Ensure the text is oriented upright using the Rotate buttons.
  • For scanned papers with shadow gradients, turn on the B&W Scan Filter and adjust the threshold level so characters are clearly distinguished from the background.

Why is the first conversion slower?

The tool uses Tesseract.js, which must load the core WebAssembly binary and the selected language training pack (e.g. eng.traineddata) upon its first run. Subsequent extractions run significantly faster because the assets are cached in browser memory.

Can the tool read handwritten text?

This tool is optimized for printed or typed text (such as in screenshots, book pages, invoices, and documents). It can extract clean handwriting under good lighting, but character accuracy is highest for machine-printed text.