Image to Text OCR: Free Online Text Extractor

OCR input and confidence

Accepts supported image files up to 10 MB and runs browser OCR. Selecting a new file clears old text and confidence. Confidence is the OCR engine estimate, not proof of accuracy; edit and verify extracted text.

Implementation reviewed: 5 October 2026. Source documentation

Image to Text OCR

Extract text from images using OCR (Optical Character Recognition). Supports JPG, PNG, GIF, BMP, and WebP. 100% client-side processing.

Drop an image here or click to browse

JPG, PNG, GIF, BMP, WebP supported

For best results use a clear, high-contrast image.

Image to text OCR turns the words in a picture into text you can copy, edit and search. Drop in a JPG, PNG, WebP, GIF or BMP file, choose one of 10 languages and a layout mode, then click Extract Text. It suits students, office workers and marketers who need the text from screenshots, scans or photos of printed pages.

What Is Image to Text OCR?

OCR stands for optical character recognition: software that reads letters, numbers and symbols in a picture and converts them into real text characters. A photo of a page is only a grid of colored pixels. You cannot search it, paste it into a document or fix a typo in it until OCR has turned it into text.

Recognition works by finding character shapes in the image and matching them against a trained model for a specific language. That is why the Language setting matters: a model trained on English will misread accented French letters or Cyrillic characters. Accuracy also depends on how sharp the text is, how much it contrasts with the background and how the page is arranged.

Which images work well and which do not?

  • Good: screenshots, scanned printed pages, photos of book pages, slides, signs and receipts with a plain background and common fonts.
  • Harder: handwriting, decorative or very thin fonts, text over busy photos, curved or tilted pages and very small, blurry pictures.

How to Use the Image to Text OCR Tool

You can extract text in six short steps, and the whole process takes only a few seconds for a typical screenshot.

  1. Drop an image onto the box that reads Drop an image here or click to browse, or click the box and pick a file. The tool accepts PNG, JPEG, WebP, GIF and BMP files up to 10 MB.
  2. Check the Preview that appears. Make sure the right image loaded and the text is readable at a glance.
  3. Open the Language menu and pick the language of the text: English, French, German, Spanish, Italian, Portuguese, Russian, Arabic, Chinese (Simplified) or Japanese.
  4. Open the Layout menu. Keep Auto (default) for ordinary pages, or choose Single Block, Single Line or Sparse Text if your image matches one of those patterns.
  5. Click Extract Text. A status message and a percentage show the progress while the text is being recognized.
  6. Read the result, proofread it against the original image, and copy it. A Text copied! message confirms that the copy worked.

Worked Example: Pulling a Paragraph From a Book Photo

Say you photograph one page of a printed English paperback and the JPG is 2.4 MB. You drop it in, keep Language on English, and switch Layout to Single Block because the page is one solid column of text with no sidebars or images.

After you click Extract Text, the tool returns the paragraph as plain text. In a typical result, most words come out correctly, but you may see small slips such as the letters r and n merged into m ("modern" read as "modem"), a capital O read as a zero, or a line break in the middle of a sentence. Those errors are normal for any OCR output.

Your next step is a quick proofread: read the extracted text beside the photo, fix the few mistakes, and remove the extra line breaks. That takes about two minutes, compared with several minutes of retyping a full page by hand.

How Do You Read and Improve the Results?

The output is raw recognized text, so the best check is a side-by-side comparison with the original image. Good results read as natural sentences with correct spelling. Poor results contain random symbols, broken words, missing lines or text that appears in the wrong order.

Choosing the right Layout setting

The Layout option tells the engine how the text is arranged. The wrong choice is one of the most common reasons for jumbled output.

LayoutBest forExample image
Auto (default)Normal pages with paragraphsScanned letter
Single BlockOne uniform block of textBook page, quote card
Single LineOne line onlyCaption, serial number
Sparse TextScattered words with gapsDiagram labels, signs

Fixing common problems

  • Garbled characters: check the Language setting first. Reading Spanish text with English selected drops accents and swaps letters.
  • Missing text: try Sparse Text for images with scattered labels, or crop the picture so only the text area remains.
  • Only part of the page appears: switch from Single Line to Auto or Single Block.
  • Many small errors: use a larger, sharper original. Text that is under roughly 20 pixels tall in the image is hard to read reliably.

Who Is Image to Text OCR For?

This tool helps anyone who has text trapped inside a picture and wants to reuse it without retyping. Here are the situations where it saves the most time.

  • Students and researchers: copy a quotation from a textbook photo or a lecture slide into your notes.
  • Office and admin work: pull a reference number, address or table of figures out of a scanned form or receipt.
  • Marketers and SEOs: recover copy from a screenshot of a competitor-free mockup, an old design file or an infographic so you can edit it. If you are auditing images on a site, pair the extracted text with the image alt text checker to write accurate alt attributes for text-heavy graphics.
  • Translators and language learners: extract foreign-language text in French, German, Japanese or Arabic, then paste it into a dictionary or translation workflow.
  • Content editors: rescue text from a screenshot of a social post or chat when the original file is gone.

Best Practices, Common Mistakes and Troubleshooting

Better input gives better output, and most fixes happen before you click Extract Text. A little preparation often matters more than any setting.

Prepare the image first

  • Crop tightly. Remove borders, icons and photos around the text with the image crop tool. Less clutter means fewer false characters.
  • Use a larger original. If your picture is tiny, retake the screenshot at a higher zoom level, or enlarge it first with the image resizer. Enlarging cannot add detail that is not there, so a sharp source is still best.
  • Keep files under 10 MB. If a photo is bigger, shrink it with the image compressor and try again.
  • Straighten and light the page. Photograph documents from directly above, with even light and no shadows across the text.

Avoid these mistakes

  • Leaving Language on English for non-English text.
  • Using Single Line on an image that has several lines.
  • Trusting numbers, passwords or legal wording without checking them against the image.
  • Dropping in a screenshot with dark mode colors and low contrast, such as gray text on black. Take a light-mode screenshot if you can.

If you see an error message

A message asking you to select a PNG, JPEG, WebP, GIF or BMP image up to 10 MB means the file type or size is not accepted. Convert it to a supported format, or reduce its size, and try again. A message that the file cannot be decoded or read means the image is damaged or not a true image file, so export it again from the original program. If you click Extract Text with no image chosen, you will be asked to select one.

Limitations and Accuracy Notes

No OCR is perfect, and this one is no exception. Results vary with image quality, font, language and layout, so plan to proofread everything you plan to publish or rely on.

Handwriting is generally not recognized well. Complex layouts such as multi-column magazines, tables and text wrapped around pictures may come out in the wrong reading order, and the tool returns plain text rather than a formatted document. Only the ten listed languages are available, so text in other scripts, such as Hindi or Bangla, is not supported here. If you only need to find where an image came from rather than read it, the reverse image search page is a better fit.

Image to text OCR is a fast way to stop retyping and start editing. Choose the right language, pick a layout that matches your picture, and proofread the result. You can also browse more utilities in the image editing and optimization tools hub. Add your image to the box on this page and click Extract Text to try it now.

Frequently Asked Questions

What is image to text OCR?
Image to text OCR is software that reads the letters in a picture and converts them into editable text. Optical character recognition matches character shapes to a language model, so you can copy, search and edit words from a screenshot, scan or photo.
How do I convert an image to text using OCR?
Drop an image into the box, choose the Language and Layout, then click Extract Text. When the progress finishes, proofread the recognized text against the picture and copy it. For a normal page, keep the Layout on Auto (default).
What image formats and file sizes does the tool accept?
The tool accepts PNG, JPEG, WebP, GIF and BMP images up to 10 MB each. If a file is rejected, convert it to one of those formats or shrink it with an image compressor, then add it again.
Which languages can this OCR tool read?
It reads English, French, German, Spanish, Italian, Portuguese, Russian, Arabic, Chinese (Simplified) and Japanese. Pick the language that matches your text before you click Extract Text, because the wrong choice causes missing accents and swapped letters.
Why is my extracted text wrong or jumbled?
Jumbled output usually comes from a blurry or low-contrast image, the wrong Language, or a Layout that does not match the page. Crop to the text, try Single Block or Sparse Text, and use a sharper original. Handwriting is rarely recognized well.
Is the Image to Text OCR tool free to use?
Yes, the tool is free and needs no sign-in. You can extract text from as many supported images as you like, one at a time, then copy the result. Always proofread numbers and names before you rely on them.
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