Image-to-text tool

Local OCR

Read printed text from an image with Tesseract.js. Everything happens in your browser.

  • No file upload
  • No sign-up
  • Free to use

Ready on your device

Choose an image you have the right to use. It is not uploaded.

Start here

Choose an image

Extract printed English, Spanish, French, or Simplified Chinese text.

Browser-local

Drop an image here

or

PNG, JPG, WebP, or BMP up to 25 MB. Clear, level text gives the best result.

Your image stays on your device.

Image decoding and OCR happen in this browser tab. Only the OCR runtime and selected language data are downloaded.

A clear local workflow

How to extract text from an image

Choose an image, identify its printed language, and select the processing mode that fits the image and your device.

  1. Choose a permitted image

    Select a PNG, JPG, WebP, or BMP that you own or may process. Choosing it gives only this browser tab access to the file.

  2. Choose the language and mode

    Select English, Spanish, French, or Simplified Chinese. Use Default for speed, Best for higher-accuracy language data, or Best + Preprocess for automatic enlargement, grayscale, contrast enhancement, OCR, and conservative spelling cleanup.

  3. Review and save the text

    Correct names, numbers, punctuation, and reading order, then copy the result or save a plain TXT file.

Which of the three modes?

Default starts fastest for clear screenshots. Best uses higher-accuracy language data without changing the image. Best + Preprocess uses the Best data after locally enlarging small images, converting them to grayscale, and stretching contrast, then performs conservative text cleanup.

What local processing means

Tesseract.js and its WebAssembly core are served from NoUpload App. The chosen language file comes from the dedicated NoUpload App model host. Your image is read from browser memory and is not uploaded with those requests.

Recommended computer

Default works best with a current 64-bit browser, a dual-core CPU, and at least 4 GB RAM. For Best, use 8 GB RAM and four logical CPU cores. For Best + Preprocess, 8 GB is the practical minimum, while 16 GB RAM and four or more modern CPU cores are recommended. A dedicated GPU is not required.

Image and browser limits

For Best + Preprocess, keep images near 12 megapixels or below for smoother work. Very large photos can use hundreds of megabytes of temporary browser memory. Phones and low-memory tablets should use Default with a cropped image. Keep the tab open until processing finishes.

What automatic correction can and cannot do

The final cleanup fixes a small set of characteristic OCR substitutions, broken word joins, spacing, and punctuation. For Chinese, it focuses on incorrect spaces between Han characters and nearby punctuation. It is not a full dictionary, grammar checker, translator, or factual verifier, so always review names, codes, prices, and dates.

Accuracy limitations

Tesseract is primarily for printed text. Handwriting, curved pages, glare, shadows, perspective distortion, decorative fonts, tiny characters, multi-column reading order, tables, formulas, and mixed-language pages can still produce errors. Automatic enhancement cannot recreate detail that is missing from the original image.

Straight answers

Local OCR FAQ

Useful details before reading text from an image.

Is my image uploaded?

No. The browser reads your image locally and sends it only to the Tesseract worker in this tab.

Why does the page download a language file?

OCR needs trained character and language data. The selected gzip file downloads toward your browser; your image is not included in that request.

What is the difference between the three modes?

Default prioritizes speed. Best uses higher-accuracy trained data on the original image. Best + Preprocess uses the same Best data after automatic grayscale, size, and contrast preparation, then applies conservative post-OCR text cleanup. The Best language download is shared by the last two modes when browser caching is available.

What does Auto Enhance Image change?

It creates a temporary OCR-only canvas in browser memory, enlarges small images when useful, converts pixels to grayscale, measures the brightness range, and automatically improves contrast. It does not overwrite or upload the original file.

Does Spell Correction guarantee correct text?

No. It is deliberately conservative and fixes only recognizable OCR artifacts, spacing, and punctuation patterns. It does not understand every word or sentence, and Chinese cleanup does not attempt broad dictionary replacement. Review the result before using it.

What computer is recommended?

Use a current 64-bit Chrome, Edge, Firefox, or Safari. Default is suitable for a dual-core computer with 4 GB RAM. Best is more comfortable with 8 GB RAM and four logical cores. Best + Preprocess is best with 16 GB RAM and four or more modern cores, especially for large images.

Which languages are supported?

English, Spanish, French, and Simplified Chinese are available. Choose the language that best matches the printed text.

Can it read handwriting?

Tesseract is designed primarily for printed text. Handwriting results are generally unreliable.

Which engine and license are used?

The page uses Tesseract.js 5.0.5 with its WebAssembly OCR core. Tesseract.js and the bundled core are provided under the Apache License 2.0; license copies are available from the site’s Open-source Licenses page.

Can I use a screenshot or scanned page?

Yes. Screenshots and clear scans work well when text is large enough and the image is not blurred or heavily compressed.

Do I need an account or payment?

No account or sign-in is required, and the tool is free to use.