OCR Image

AllPic OCR cleans gray backgrounds, enhances contrast, recognizes text locally, repairs OCR artifacts, and exports a clean TXT file.

Browser local Local AI

Choose an image to start

Files never leave your browser — all processing happens locally

The first run downloads and caches the local model required by this tool.

Supported formats

JPGPNGWebP

Browser local

Supported formats

Input: JPG · PNG · WebP

Output: TEXT/PLAIN

Local processing

Selected files are handled inside your browser session. Large images and batch work depend on browser memory and device performance.

Limits

Performance depends on image size, batch count, browser support, model loading, and device memory.

Decision guide

Know what the result can and cannot do

OCR converts visible text into an editable draft. Recognition is probabilistic, so names, totals, dates, and identifiers should always be checked against the image.

Best for

  • Printed receipts and documents
  • Copying text from screenshots
  • Creating a searchable draft before manual review

Watch for

  • Handwriting and curved text are less reliable
  • Low contrast and perspective reduce accuracy
  • OCR output may contain private information

Before you share

  • Check numbers and proper nouns character by character
  • Compare missing line breaks with the source
  • Store or share the text according to its sensitivity

Try this scenario

Treat recognized text as a draft that needs comparison

OCR creates editable text, not a guaranteed transcript. Numbers, names, dates, and identifiers deserve a character-by-character check.
Try it with
Recognize a receipt or document containing totals, dates, and proper nouns.
Check before sharing
  • Compare every number and proper noun against the source image
  • Check missing line breaks and handle the extracted text as sensitive data
Last updated
August 1, 2026

Steps

How this tool works

  1. Step 1

    Choose an image with clear text.

  2. Step 2

    Pick fast, balanced, or accurate recognition.

  3. Step 3

    Set language, scene, preprocessing strength, and smart repair.

  4. Step 4

    Use receipt or dense text scene for small photographed text.

  5. Step 5

    Run OCR in the browser.

  6. Step 6

    Download the TXT result.

FAQ

Useful limits and answers

Is my image uploaded?

The OCR tool processes the selected image in your browser.

Which text works best?

Sharp, high-contrast text with steady alignment gives the best result. Receipt and document modes help with gray backgrounds and uneven lighting.

Which languages are supported?

The OCR engine supports English, Simplified Chinese, and mixed English plus Chinese mode.

What does smart repair do?

Smart repair cleans common OCR artifacts, merges broken lines, preserves lists, and prepares copyable plain text.

What happens when the OCR CDN is slow?

The OCR loader uses cached resources when available and tries fallback runtime URLs during loading.

What are the limitations?

OCR quality depends on browser support, image sharpness, text size, layout, language data, and device performance.

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