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How does Optical Character Recognition Work

Optical Character Recognition, or OCR for short, works by strategically scanning an image pixel by pixel for features that resemble character sets it was trained on. Under the hood, we use Tesseract, an open source optical character recognition algorithm developed by Google, for extracting text from images. For PDF files, we use the Mozilla PDF parsing library which is excellent at parsing characters in a PDF in microseconds. Both softwares are cutting edge, and scan images block by block for text-like features.

What is text to image used for?

Most commonly, image to text is used to save time in converting a long image or long PDFs, such as books, into text. You can then easily edit the text afterward using an online text editor or an offline application like Microsoft Word. You can recognize photos, cards, and text documents to quickly extract the text in an automated way.

Convert Images to Text

Do not spend hours retyping and correcting typographical errors. Save time with an efficient optical character recognition application. This is a quick and easy alternative to a scanner or a digital camera.

Is Text to PDF Safe?

The software runs right in your browser or on our services, quickly and efficiently. We do not save your information, share your data, or install any software. Online PDF to text conversion requires no installation to extract text from PDF files.

Where Else Is This Used?

Optical Character Recognition has been used in a variety of places for use in everyday life. License plate scanners use it to record tolls, keep records, and for tickets. Phones use optical character recognition to help characterize some images for grouping. Automobiles use optical character recognition to recognize informative signs on the road and provide other insights to drivers. Some devices even use optical character recognition paired with translation to help translate every day signs and text on your glasses.

Image To Text Recommendations

Use High Quality Pictures

The higher the quality, the more likely it is that your PDF or text will be read successfully.

Use Less Text and Smaller Images

The longer the text, the more difficult it is for the converter to recognize text. It is much better to use smaller amounts of text for the fastest results.

Double Check Your Result

Image to text recognition software is not perfect. Make sure to double-check the text afterward and make sure it is readable.

Use a Good Computer

Our image to text software runs on your computer. The better computer you have available, the faster you will receive results.

Good Handwriting

If you do not have good handwriting, then the success rate might be lower. Lines and boxes can confuse the application because the software might accidentally recognize them as text.

Simple Image

For best results, make sure your image the least amount of clutter possible. Clutter might be weird shapes, different colors, different symbols, or other things that might confuse the software.

Get Text From Image

In some cases, you may want to extract text from image files. The file format of your image is not important, you can easily convert from JPG, PNG, TIF, and other formats. In order to focus on presentations, lectures or meetings, it is usually easier to just take a quick photo of the slideshow or presentation, and focus on listening to the speaker. Using object character recognition, or image to text, makes this much easier. You also can scan articles, documents, receipts, invoices, and any paperwork. Those document types are often easily saved in PDF format, perfect for PDF to text. Another easily solution is to take a screenshot of a page, typically a PNG or JPG image, and use that screenshot to get text from image.

Optical Character Recognition Uses

handwriting Image to Text

picture Image to Text

book Image to Text

photo Image to Text

board Image to Text

copy Image to Text

essay Image to Text

print Image to Text

printed document Image to Text

scan Image to Text

scanned document Image to Text

screenshot Image to Text

slides Image to Text

license plate Image to Text

passport Image to Text

photo ID Image to Text

card Image to Text

PowerPoint Image to Text

PDF Image to Text

PNG Image to Text

JPG Image to Text

GIF Image to Text

English Image to Text

Arabic Image to Text

Bengali Image to Text

Bulgarian Image to Text

Catalan Image to Text

Chinese Simplified Image to Text

Croatian Image to Text

Czech Image to Text

Danish Image to Text

Dutch Image to Text

Esperanto Image to Text

Estonian Image to Text

Filipino Image to Text

Finnish Image to Text

French Image to Text

German Image to Text

Greek Image to Text

Hebrew Image to Text

Hindi Image to Text

Hungarian Image to Text

Indonesian Image to Text

Italian Image to Text

Japanese Image to Text

Korean Image to Text

Latvian Image to Text

Lithuanian Image to Text

Malay Image to Text

Malayalam Image to Text

Marathi Image to Text

Norwegian Image to Text

Polish Image to Text

Portuguese Image to Text

Romanian Image to Text

Russian Image to Text

Serbian Image to Text

Slovak Image to Text

Slovenian Image to Text

Spanish Image to Text

Swedish Image to Text

Tajik Image to Text

Tamil Image to Text

Telugu Image to Text

Thai Image to Text

Turkish Image to Text

Ukrainian Image to Text

Urdu Image to Text

Vietnamese Image to Text

About Us

We believe that anyone should be able to use technological necessities. Our way of making that happen is by building simple applications which can be used in a variety of languages. Although our main focus is language based applications, we are in the process of building tools for everyday use cases. Have an idea for an application that might be useful in many other languages other than english? Feel free to reach out to use, we would love to hear from you!

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