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Image OCR

100% client-side text recognition. Images are never uploaded. Supports pasting screenshots (Ctrl+V), drag & drop, and uploading.

Local Run · 0 Bytes Uploaded · 100% Privacy Ctrl+V Paste Directly · Highly Efficient
Settings & Input
Drag & drop image here, click to browse, or paste screenshot (Ctrl+V) Hint: WeChat, QQ, or Snipping Tool screenshots can be pasted directly
Imported Image Preview
OCR image preview
Recognition Result
0 characters
Ready

About Free Online Local Image OCR

Super Image OCR is a completely free, privacy-first online utility. Powered by the popular Tesseract.js neural network library, it enables real-time Optical Character Recognition right inside your browser sandbox.

Unlike conventional online OCR websites that upload your personal documents to their cloud storage, our tool operates 100% locally in your browser. This eliminates security vulnerabilities when converting confidential files, business invoices, receipts, or ID photos.

Key Features & Advantages

  • Instant Clipboard Paste (Ctrl+V) — Take a screenshot using Snipping Tool, WeChat, QQ, or macOS screenshot, press Ctrl+V anywhere on the page, and OCR starts immediately.
  • Multiple Language Models — Instantly load neural weights for English, Simplified Chinese, Traditional Chinese, Japanese, and Korean.
  • Built-in Image Preprocessing — Enhance text recognition by running Contrast Booster, Grayscale Converter, or Binarization (converting image pixels to high-contrast black & white) beforehand.
  • WebAssembly Sandbox — Pure client-side calculations run through Web Workers, keeping your workflow safe and offline-capable.

Tips & FAQ

Q: Why does the first OCR recognition take a few seconds?

A: When you run OCR in a specific language for the first time, Tesseract.js downloads the pretrained neural network model from a CDN. Once downloaded, the browser caches the file, making subsequent OCR runs almost instantaneous, even offline.

Q: What should I do for low quality or low contrast images?

A: Enable "Enhance Contrast" or "Binarization" in the settings console. This cleans up noisy backgrounds and sharpens blurry characters to boost Tesseract's parsing accuracy.