Convertix | Extract Text from Image Online Free – OCR Tool No Signup

Extract Text from Image Free Online — OCR Tool No Signup | Convertix
Free · 10+ Languages · No Upload

Extract Text from Images Free

Convert any photo, screenshot or scanned document to editable text in seconds. Runs 100% in your browser — your image is never sent to any server.

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Upload Image
Drop your image here, or click to browse
The text in your image will be extracted and made editable
JPG  ·  PNG  ·  WebP  ·  BMP  ·  GIF  ·  TIFF
You can also paste a screenshot with Ctrl+V
Image preview
Processing
Loading OCR engine… 0%
Please wait — running in your browser, no upload needed
The first run downloads language data (~10 MB). Subsequent extractions are instant.
Extracted Text
0 words 0 characters 0 lines
Confidence

How to Extract Text from an Image Online for Free — Without Uploading Anything

Whether you've got a screenshot of an article you can't select text from, a photo of a receipt you need to type up, a scanned contract, or a picture of handwritten notes — the ability to convert an image to editable text is one of those things that saves an enormous amount of time once you know how to do it. This page lets you do exactly that, at no cost, with no account, and without your image ever leaving your device.

What is OCR and how does it work?

OCR stands for Optical Character Recognition. It's the technology that lets software "read" text that exists as part of an image — rather than as actual typed characters in a document. Historically, OCR required dedicated desktop software like Adobe Acrobat or ABBYY FineReader. Today, the Tesseract engine — originally developed by HP and later maintained by Google — runs entirely in a web browser using JavaScript, which is exactly what powers this tool.

When you click Extract Text, the engine analyses the pixel patterns in your image, compares them to its trained language model, and reconstructs the characters it identifies. The entire process happens inside your browser tab. Nothing is transmitted, stored, or logged.

Step-by-step: how to convert a screenshot to text for free

The process takes less than a minute from start to finish:

  • Step 1 — Upload your image by clicking the upload zone or dragging a file onto it. You can also paste a screenshot directly from your clipboard using Ctrl+V (or Cmd+V on Mac), which is the fastest method for screenshots.
  • Step 2 — Select the language of the text in your image from the dropdown. Choosing the wrong language is the most common reason for poor results — even if the text looks similar across languages, the engine uses language-specific character recognition models.
  • Step 3 — Click Extract Text. The first time you run an extraction in a new browser session, the tool downloads the language training data (around 10 MB). This takes a few seconds on a normal connection. After that, it's cached and all subsequent extractions are instant.
  • Step 4 — Edit the text in the output box if needed, then copy it to your clipboard with one click, or download it as a plain .txt file.

How to get better OCR accuracy from your images

The quality of the extracted text depends almost entirely on the quality of the image you give it. Here are the factors that matter most:

  • Resolution — higher is better. An image at 300 DPI gives significantly better results than one at 72 DPI. If you're scanning a document, scan at 300 DPI or higher. If you're taking a photo of printed text, get as close as practical to fill the frame.
  • Contrast — dark text on a white background is ideal. The engine struggles with low-contrast combinations like grey text on a slightly lighter grey background. If your image has poor contrast, try running it through the Convertix Image Enhancer first to boost contrast before extracting the text.
  • Orientation — text should be horizontal. Rotated or skewed text reduces accuracy significantly. Straighten your image in a basic photo editor before uploading if the text isn't level.
  • Font type — clear sans-serif and serif fonts (Arial, Times New Roman, etc.) are recognised extremely accurately. Decorative, cursive, or stylised fonts are much harder. Handwritten text is the most challenging of all.
  • Language selection — always match the language setting to the text in your image. If your image contains mixed languages, try whichever language makes up the majority of the text.

Practical uses for image-to-text conversion

Once you know this tool exists, you'll find uses for it constantly:

  • Copy text from screenshots — social media posts, forum threads, apps that disable selection, or any web page where the text is inside an image.
  • Digitise printed documents — scan a physical letter, invoice, receipt or legal document and get the text into a format you can search, edit and store.
  • Extract text from PDFs rendered as images — some PDFs are created by scanning paper pages rather than generating the text digitally. Screenshot the page and run it through this tool.
  • Copy text from presentation slides — when someone shares a slide deck as images instead of a .pptx file, extracting the text saves an enormous amount of retyping.
  • Translate text in images — extract the text first, then paste it into a translation tool. Much more reliable than screenshot-based translation services.
  • Extract text from photos of books, menus or signs — useful for researchers, travellers, students or anyone building a digital archive.

Why this tool doesn't upload your images

Most popular "free" OCR websites upload your image to a remote server, process it there, and return the result. That approach raises obvious privacy concerns — you have no way to verify what the server does with the image after it returns the text. A photo of a contract, a medical document, or a personal message is sensitive information.

This tool uses Tesseract.js, an open-source port of the Tesseract OCR engine that runs natively in your browser using WebAssembly. There is no server involved. The text recognition happens on your own CPU. Closing the tab is enough to guarantee the image is gone — there is nothing stored anywhere to delete.

Supported languages

The tool currently supports 12 languages: English, Arabic, French, Spanish, German, Italian, Portuguese, Russian, Chinese (Simplified), Japanese, Korean and Turkish. Additional languages can be supported by the underlying engine — if you need a language not on the list, get in touch via the Contact page.

Frequently Asked Questions

Upload your image using the tool above, select the language of the text, and click Extract Text. The result appears in seconds — no account, no sign-up, no watermark. You can copy the text or download it as a .txt file.
No. The OCR processing runs entirely inside your browser using Tesseract.js and WebAssembly. Your image data is never transmitted to any server, never stored, and never logged. Closing the browser tab removes all traces of it.
Yes. Press Ctrl+V (or Cmd+V on Mac) anywhere on the page to paste a screenshot directly from your clipboard. This is often faster than saving the screenshot to a file and then uploading it.
The most common causes are: wrong language selected, low image resolution, poor contrast between text and background, or rotated/skewed text. Try boosting the contrast using the Image Enhancer first, then re-run the extraction. Also make sure the language dropdown matches the language in your image.
It can work for very clear, neat handwriting, but accuracy is significantly lower than for printed text. The Tesseract engine used here is optimised for printed fonts. For best handwriting results, use clear block letters on a white background with good lighting.
The first time you extract text in a browser session, Tesseract.js downloads the trained language data file for the selected language (around 10 MB for English). This is cached by your browser for the rest of the session, so all subsequent extractions in the same language are near-instant.
The tool accepts JPG, PNG, WebP, BMP, GIF and TIFF files. For scanned documents, PNG or TIFF at 300 DPI gives the best results. For screenshots, any common format works well since screen captures are already at a consistent resolution.

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