Free Online OCR Scanner

Most accurate online OCR Scanner, recognize the characters from the image with high (95% to 100%) accuracy.
Supports 100+ Languages
Should you encounter any issues with the Online OCR tool, do drop us an email.

Process of using Online OCR Now

Frequently asked questions

1What is the function of OCR?
OCR is used to translate virtually any kind of images having written text, typed, handwritten, or printed into machine-readable text data.
2Is OCR machine learning?
Yes, OCR is almost always implemented with machine learning.
3What is the difference between OCR and ICR?
OCR is more convenient, so if your office work revolves around digital or paper copies, OCR may be the tool of choice. On the other hand, ICR (Intelligent Character Recognition) specializes in converting many types of handwritten characters into digital functions. Therefore, intelligent character recognition is required when processing handwritten notes or manuscript notes.
4Is Online OCR scanner Safe?

There are always fears when using online services, especially free online OCR scanner that handle confidential information. Is it safe to use? Fortunately, the answer is yes. First, OCR only converts text from images, which means it does not affect your documents or your computer. Please do not worry that it is corrupting the data in your documents.

These services themselves do not store your information. The translated text is stored in a separate file rather than in the online OCR scanner software itself. It means your information is inaccessible.

Recognized Languages

Online OCR Now supports more than 100+ languages.
Afrikaans Estonian
Albanian Finnish
Amharic French
Arabic Galician
Assamese Georgian
Azerbaijani Georgian - Old
Azerbaijani - Cyrillic German
Basque German Fraktur
Belarusian Greek
Bengali Gujarati
Bosnian Haitian; Haitian Creole
Bulgarian Hebrew
Burmese Hindi
Catalan; Valencian Hungarian
Cebuano Icelandic
Cherokee Indonesian
Chinese - Simplified Inuktitut
Chinese - Traditional Italian
Croatian Italian - Old
Czech Irish
Danish Japanese
Dutch; Flemish Javanese
Dzongkha Kannada
English Kazakh
Esperanto Khmer; Central Khmer
Kirghiz; Kyrgyz Sinhala; Sinhalese
Korean Slovak
Kurdish Slovenian
Lao Spanish; Castilian
Lithuanian Spanish; Castilian - Old
Latin Swahili
Latvian Swedish
Macedonian Syriac
Malay Tagalog
Malayalam Tajik
Maltese Tamil
Marathi Telugu
Nepali Thai
Norwegian Tibetan
Oriya Tigrinya
Panjabi; Punjabi Turkish
Persian Uighur; Uyghur
Polish Ukrainian
Portuguese Urdu
Pushto; Pashto Uzbek
Romanian; Moldavian Uzbek - Cyrillic
Russian Vietnamese
Sanskrit Welsh
Serbian Yiddish
Serbian - Latin  

What is OCR?


Optical character recognition (OCR) explains the method of electronically or mechanically converting scanned images from printed text to machine-encoded text. Think of it as the process of converting analog and digital data. Using this software tool, you can quickly convert scanned documents into searchable text files.

Nowadays, the demand for scanned documents is steadily increasing because they can be easily viewed when needed. Scanned documents can also be easily shared via electronic media. What OCR does not do is to consider the actual nature of the scanned object. It just "sees" the characters you want to convert to a numeric format. For example, when you scan a word, you will learn and recognize the letters, but you cannot identify the word's meaning.

Features of Online OCR Now

Convert Image to Text Efficiently

Online OCR Now is one of the finest tools to convert images to editable text without any additional work. You just select the image, and this tool can effectively recognize multiple formats and convert quickly, easily, and efficiently. It supports formats like JPG, JPEG, PNG, and BMP.

Fast and High Accuracy

One of the main challenges of data entry is accuracy. Automatic data entry tools such as OCR can provide fast and effective data entry. Online OCR Now is one of the most accurate OCR scanners, with the ability to recognize the characters from an image with 95% to 100% accuracy.

Easy to use and friendly interface

Online OCR Now has a simple interface and can even convert any word in an image. Files can be retrieved and edited at any time, which is beneficial to most supporting enterprises, industries, and businesses. For example, you can use OCR technology to easily view old receipts, records, credit history and other documents.

Edit the text

After scanning the document with OCR online, you can choose to edit the text with your preferred word processor program.

Accessibility

Online OCR software is a useful ease of access tool. Visually impaired users can scan incoming faxes, books, magazines, or other documents into a word processing program for use in conjunction with the computer's voice utility.

Easy to use and friendly interface

Online OCR Now has a simple interface and can even convert any word in an image. Files can be retrieved and edited at any time, which is beneficial to most supporting enterprises, industries, and businesses. For example, you can use OCR technology to easily view old receipts, records, credit history and other documents.

Edit the text

After scanning the document with OCR online, you can choose to edit the text with your preferred word processor program.

Accessibility

Online OCR software is a useful ease of access tool. Visually impaired users can scan incoming faxes, books, magazines, or other documents into a word processing program for use in conjunction with the computer's voice utility.

Convert Image to Text Efficiently

Online OCR Now is one of the finest tools to convert images to editable text without any additional work. You just select the image, and this tool can effectively recognize multiple formats and convert quickly, easily, and efficiently. It supports formats like JPG, JPEG, PNG, and BMP.

Fast and High Accuracy

One of the main challenges of data entry is accuracy. Automatic data entry tools such as OCR can provide fast and effective data entry. Online OCR Now is one of the most accurate OCR scanners, with the ability to recognize the characters from an image with 95% to 100% accuracy.

How does
Optical Character Recognition Work?

Let us look at three fundamental phases of optical character recognition: image pre-processing, character recognition, and the output's post-processing.

Image Pre-Processing in OCR

OCR software usually pre-processes images to increase the chances of successful recognition. The purpose of pre-processing is to improve the actual image data. In this way, unwanted distortion is suppressed, and some image characteristics are enhanced. These two processes are important in the following steps.

Character Recognition in OCR

To effectively recognize characters, it is important to understand what "feature extraction" is. If the input data is too large to be processed, only a small number of functions will be selected. The features are the important ones but suspected redundant features will be ignored.

Using a smaller data set instead of the first more extensive data set, performance can be improved. It is essential for the OCR process because the algorithm needs to detect a specific part or shape of the scanned image.

Character Recognition in OCR

To effectively recognize characters, it is important to understand what "feature extraction" is. If the input data is too large to be processed, only a small number of functions will be selected. The features are the important ones but suspected redundant features will be ignored.

Using a smaller data set instead of the first more extensive data set, performance can be improved. It is essential for the OCR process because the algorithm needs to detect a specific part or shape of the scanned image.

Post-Processing in OCR

Post-processing is another error correction technology that can ensure the high accuracy of OCR. If the dictionary limits the output, the accuracy can be further improved. In this way, the algorithm can return to a list of words displayed in the scanned document. To better handle the different kinds of OCR inputs, some providers have started developing OCR systems that deal more efficiently with specific types of input. These systems can also process specialized images to improve recognition accuracy and incorporate various optimization techniques.