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Image to text is an OCR tool that extracts text from images accurately.

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Drag, Upload or Paste images

Supported: JPG, PNG, JPEG, GIF, JFIF, PDF
up to 10 MB image size

* Data security comes first – We’ll never sell, store or share your data

Introducing Our Image to Text Converter

Welcome to our free online Image to Text converter!

Our OCR tool is designed to extract text from images in a few seconds. You can upload all types of images to the tool, such as screenshots, scanned documents, or photos of physical documents, and it will provide you with the text they contain.

Image to text converter is excellent for data entry specialists, office employees, teachers, and students. It is great for all types of users because of its free, no-registration access.

Introduction to image to text

How to Use Image to Text?

Using our Image to Text Converter is super easy and simple. Even if you have no prior experience in using a tool like this, you won’t have any trouble. Here is what you need to do:

Step 1: First, you need to import your images into the Converter. To import your images, you can simply upload files from your local storage, drag and drop them, copy-paste them, or simply use a URL to fetch them directly from the internet.

Image Upload
Step 2

Step 2: Once you’re done importing the image, click on the “Convert” button to start the image to text conversion process.

Step 3

Step 3: Wait for a few seconds for the extraction to complete, and then click on the Copy button to copy the text to your clipboard.

Step 4

Step 4: You can also download the text to your device to save it for later. Click on the small Download button, and the text will be saved as a TXT file.

Features of Our Image to Text Tool

There are many different features and perks that you can enjoy with this AI-based OCR tool:

feature-1

Free to Use/No Registration Needed

If you’re sick of signing up everywhere and paying for every online tool and service, we have good news for you. Our jpg to text converter requires no signing up, and it is 100% free to use. You can simply open it whenever you want, use it as many times as needed, and then click away.

feature-2

Quick and Accurate Text Extraction

Not only is our tool free to access and easy to use, but it is also quick and accurate. The total processing time for the tool is about 3 to 5 seconds. The extraction itself is accurate, and you won’t have to make any corrections to the output text since it will be all on-point.

feature-3

Multiple Image Formats Supported

This picture to text converter works with various image formats, including JPG, PNG, GIF, TIFF, WEBP, BMP, and HEIC. You can upload images in any of these formats without worrying about converting them beforehand using some other online tool.

feature-4

Save and Download Text to Your Storage

Imagetotext.org lets you download the extracted text to your device, which is super useful if you want to save the outputs for the future. The text is downloaded as a TXT file, which doesn’t take up a lot of storage space.

feature-5

Detects Blurry and Low-Resolution Images

Thanks to its advanced, AI-powered engine, our text extractor can extract text even from blurry and low-resolution images. Even if the text is not 100% clear, this photo to text converter will be able to accurately recognize it by using advanced OCR technology. This feature makes Imagetotext.org excellent for pictures of physical documents and student notes.

feature-6

Secure and Safe to Use

The images uploaded to our OCR tool are kept 100% safe and secure. They are not shared with a third party, nor are they uploaded to an online source. We use the images only for the purpose of extracting text from them and nothing else. The images remain private to you.

feature-7

Detects Mathematical Equations

Our JPG to text can detect and extract mathematical equations from the provided images. If you have notes or documents containing mathematical equations and expressions, it’s not a problem for our OCR tool. It will convert all the complex symbols to their digital form (such as +, -, ∫, ≊, ≤, ∑, etc.).

feature-8

Multilingual Text Extraction

Imagetotext.org has multilingual text extraction capabilities. It doesn’t matter if the images contain text in English, Urdu, Spanish, Arabic, Russian, or any other language. Our Text Extractor will be able to extract it with ease.

feature-9

Recognizes Handwriting

Are you worried about untidy handwriting not being successfully recognized during the extraction process? It’s not a problem for our AI image to text tool. Thanks to the AI-powered engine it utilizes, Imagetotext.org can analyze and accurately decipher handwriting inside the images.

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Frequently Asked Questions?

Yes, Imagetotext.org is completely free to use. You don’t need to make any payment or purchase a subscription to extract text from your images.

Our image to text works on an OCR engine that recognizes and deciphers text in an image to Unicode characters. As long as a language is available in Unicode, our OCR tool will be able to extract it from an image. Some examples of languages supported by our tool include:

  • English (English)
  • Urdu (اردو)
  • Arabic (العربية)
  • Russian (Русский)
  • Chinese (Simplified) (简体中文)
  • Chinese (Traditional) (繁體中文)
  • Japanese (日本語)
  • Korean (한국어)
  • Hindi (हिन्दी)
  • Bengali (বাংলা)
  • Turkish (Türkçe)
  • Persian (فارسی)
  • Greek (Ελληνικά)

The OCR process involves different steps and stages. Here is a breakdown of how the OCR process works:

  • Image processing: In the processing phase, the image is cleaned and filtered. The contrast is enhanced, and the “noise” from the image is removed to get it ready for text extraction. If there is a tilt or skew in the image, it is corrected in this phase as well.
  • Text detection: Then, the parts of the image containing the text are identified.
  • Character isolation/segmentation: Then, the characters are isolated from one another and separated individually.
  • Character analysis: After that, each of the characters is analyzed. The OCR engine recognizes the shapes and visual characteristics of each so that it can effectively recognize them.
  • Database matching: Each of the characters' shape/visual appearance is matched with digital text characters in the OCR engine’s database.
  • Output: Once the characters are all matched and recognized, they are presented to the user as digital output.

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