Free Image to Text OCR – Extract Text from Any Image Instantly (2026)

Convert images to editable text using this free online OCR tool — no signup, no installation. Upload up to 20 images at once, choose from 10 languages, crop and rotate before extracting, and download results as PDF, TXT, or PNG. Powered by Tesseract.js: all processing happens entirely in your browser, so your images never leave your device.

Image to Text OCR

Sponsored

Sponsored banner

Batch OCR — Up to 20 Images

Upload multiple images and extract text from all of them sequentially. Each image shows a real-time animated progress bar and per-image confidence score.

10 Languages Supported

Extract text in English, Hindi, Spanish, French, German, Chinese, Arabic, Japanese, Portuguese, and Russian using the language dropdown selector.

Crop & Rotate Before Extract

Pre-process images with the built-in crop and 90° rotate tools to isolate the text region and improve OCR accuracy before extraction.

Confidence Score per Image

Every result shows a color-coded confidence score — green (≥80%), yellow (60–80%), red (<60%) — so you instantly know which results to review and correct.

Download as PDF, TXT, or PNG

Export each image's extracted text or all combined results as a plain text file, PDF document, or PNG image — whichever format fits your workflow best.

100% Private — No Upload

All OCR processing runs locally in your browser using Tesseract.js WebAssembly. Your images are never sent to any server — complete privacy guaranteed.

Complete Guide to Image to Text OCR (2026)

OCR (Optical Character Recognition) technology has transformed how we handle printed and photographed text. Whether you need to digitize a scanned document, extract text from a screenshot, or convert a photo of handwritten notes, this free Image to Text OCR tool handles it all directly in your browser — no installation, no account, no cost.

What is OCR and How Does It Work?

Optical Character Recognition works by analyzing image pixels to identify patterns that match known character shapes. This tool uses Tesseract.js — an open-source OCR engine trained on millions of text samples across dozens of scripts. Tesseract segments your image into text lines, then words, then individual characters, comparing each against its neural network models to produce a text output with a confidence percentage. Running via WebAssembly, the entire process happens inside your browser tab with zero data sent to any server.

Supported Image Formats

FormatExtensionBest ForMax Size
JPEG.jpg / .jpegPhotos, screenshots, scanned docs10 MB
PNG.pngScreenshots, diagrams, sharp graphics10 MB
WEBP.webpWeb images, modern camera photos10 MB
GIF.gifSimple graphics (first frame used)10 MB
BMP.bmpUncompressed high-fidelity images10 MB

Supported OCR Languages (2026)

LanguageScriptBest Use Case
EnglishLatinDocuments, screenshots, web content
Hindi + EnglishDevanagari + LatinHindi text mixed with English
Spanish + EnglishLatinSpanish documents with English terms
French + EnglishLatinFrench documents and mixed content
German + EnglishLatinGerman documents and mixed content
Chinese (Simplified)HanMainland China publications
ArabicArabic (RTL)Arabic documents, right-to-left text
JapaneseKanji / KanaJapanese text, books, manga
Portuguese + EnglishLatinPortuguese and Brazilian content
Russian + EnglishCyrillicRussian documents and mixed content

7 Tips to Improve OCR Accuracy

  1. Use high resolution: Images at 300 DPI or higher yield significantly better character recognition than low-resolution photos.
  2. Ensure good contrast: Dark text on a light background (or vice versa) is easiest for OCR. Avoid low-contrast combinations like light gray on white.
  3. Rotate upright first: Use the built-in rotate button to fix orientation before extracting. Tilted text significantly reduces accuracy.
  4. Crop the text area: Use the crop tool to eliminate logos, borders, and decorative elements — focus the OCR engine on the actual text region.
  5. Select the correct language: Always choose the language that matches your image. Mixing incorrect language models causes character misidentification.
  6. Avoid heavy stylized fonts: Decorative or handwritten fonts are harder to recognize. Standard serif and sans-serif fonts work best.
  7. Use Re-extract after editing: After cropping or rotating an image, click the Re-extract button on the result card to run OCR again with your improvements.

Who Uses Image to Text OCR?

Students & Academics

Convert textbook photos, handwritten class notes, and scanned assignments into editable digital text for easy studying, quoting, and sharing.

Professionals & Lawyers

Extract text from scanned contracts, invoices, business cards, and official documents for editing, keyword search, and digital archiving.

Developers & Designers

Copy error messages and stack traces from screenshots, extract text from UI mockups, and quickly digitize content from design assets.

Writers & Bloggers

Extract quotes from book photos, magazine scans, and printed articles to use in posts and research without retyping every word.

Business Teams

Process bulk invoices, printed forms, and paper receipts. Batch upload up to 20 images and download all extracted text as one combined PDF.

Researchers

Digitize printed research papers, historical archives, and physical documents — with 10 language options including Arabic, Chinese, and Japanese.

How to Use Image to Text OCR — Step by Step

  1. Select language from the dropdown (default: Hindi + English). Match it to the language in your image.
  2. Upload images by clicking the upload zone or dragging and dropping files. Up to 20 images, max 10MB each.
  3. Preprocess (optional): Click the rotate icon to fix orientation, or the scissors icon to crop and isolate the text area.
  4. Click "Extract Text" to start OCR. Each image displays a real-time progress bar and confidence score upon completion.
  5. Review and edit the extracted text in the editable area below each result. Correct any OCR errors before saving.
  6. Download results — individual images as .txt, .pdf, or .png, or use "Combined Output" to download all extracted text together.

Privacy — Your Images Never Leave Your Device

This OCR tool uses Tesseract.js, an in-browser OCR engine that processes images entirely on your device using WebAssembly. No image data is transmitted to any server at any point — not even for language model downloads (models are cached locally in your browser after first use). This makes our tool completely safe for processing sensitive documents such as ID cards, contracts, medical records, and financial statements.

Frequently Asked Questions

  • What is OCR and how does it work?

    OCR (Optical Character Recognition) is a technology that analyzes image pixels to identify characters and words. This tool uses Tesseract.js — an open-source OCR engine running entirely in your browser via WebAssembly — to scan each region of your image, match pixel patterns against trained character models, and output machine-readable text along with a confidence score.

  • Which image formats are supported?

    This OCR tool supports JPG, JPEG, PNG, WEBP, and GIF image formats. For best results, use high-resolution JPG or PNG images with clear, sharp text and good contrast between text and background.

  • Which languages can this OCR tool detect?

    The tool supports 10 languages: English, Hindi (+ English), Spanish (+ English), French (+ English), German (+ English), Chinese Simplified, Arabic, Japanese, Portuguese (+ English), and Russian (+ English). Select the appropriate language from the dropdown before extracting text for best accuracy.

  • How accurate is the text extraction?

    Accuracy depends on image quality. For clear, high-resolution images with standard fonts and good contrast, accuracy typically reaches 90–98%. Each result shows a color-coded confidence score — green (≥80%), yellow (60–80%), red (<60%) — so you can identify which results need manual correction.

  • Can I upload multiple images at once?

    Yes. You can upload up to 20 images at a time. The tool processes them sequentially, showing a real-time progress bar and confidence score for each image. All results can be downloaded together as a single combined file.

  • How do I improve OCR accuracy?

    For better results: use high-resolution images (300 DPI or higher), ensure strong contrast between text and background, use the built-in rotate tool to make text upright, crop out non-text areas with the crop tool to focus OCR on the text region, and always select the correct language matching your image content.

  • Can I edit the extracted text?

    Yes. Every result card contains an editable textarea where you can correct OCR errors, remove unwanted lines, or clean up formatting before copying or downloading. Your edits are preserved throughout the session.

  • What file formats can I download the extracted text in?

    You can download extracted text as a plain text file (.txt), a formatted PDF document (.pdf), or as a PNG image (.png). Both per-image downloads and a combined-all download of every image's text are available.

  • Is my image data uploaded to any server?

    No. This tool is 100% browser-based. Images are processed entirely on your device using Tesseract.js running in WebAssembly. Nothing is ever uploaded to a server, making it safe for sensitive documents like contracts, ID cards, medical records, and financial statements.

  • Is this OCR tool free to use?

    Yes, completely free. There is no signup, no subscription, no usage limits, and no watermarks on downloads. The tool runs in your browser using open-source Tesseract.js technology.

  • What is the maximum image size allowed?

    Each image can be up to 10MB in size. For very large images, you can use an image compressor tool first to reduce file size. Smaller, well-focused images often produce faster and more accurate OCR results.

  • Can I use this OCR tool on mobile?

    Yes. The tool works on all modern mobile browsers including Safari and Chrome on iOS and Android. You can upload photos directly from your camera roll or take a new photo with your camera to extract text from it instantly.