Perhaps, every PC user at least oncefaced with the need to digitize the text printed on a regular sheet of paper. Of course, this operation can be performed manually, but what if the document consists of dozens or even hundreds of pages? Fortunately, there are special programs for text recognition that will help you significantly speed up the process of digitizing documents and make it more comfortable. They will be discussed further on.
So, programs for text recognition (OpticalCharacter Recognition) are intended for converting typewritten or printed text into digital data. In addition, these same utilities can convert screenshots, photos and PDFs to ordinary Microsoft Word documents.
Once the text has been digitized, you canWork with it exactly as if you typed it manually. For example, you can scan or photograph a newspaper article, drive it through a program for recognizing texts, and then edit it at your discretion.
In the opinion of a huge number of users,FineReader is the best program for text recognition. In Word, by the way, it is possible to integrate a separate panel for the "FineReader", which only adds to this popularity program.
The application can work with almost everyoneimage formats and digital documents, as well as a built-in editor and a spelling checker. In addition, the interface of the program is quite understandable, so you do not have to spend a lot of time learning it.
The main disadvantage of the application is that it is paid. However, you can try to use the hacked version.
Unlike FineReader, CuneiForm isfree text recognition software. It supports more than 20 languages, works perfectly with all popular graphic formats, and also easily transfers tables and graphics from the source file. In addition, the application has its own database of dictionaries, which can also be expanded.
It is worth saying that CuneiForm recognizes the text notso exactly like the same Fine Reader. Nevertheless, for most ordinary users, the program's capabilities will be enough. Moreover, developers are constantly improving their offspring. Already, the application can compete with its paid counterparts, and in the future it is possible that it will outperform them.
Еще одна платная программа для сканирования и recognition of texts. OmniPage easily copes with documents in PDF format, as well as other image files. The utility supports more than hundreds of languages, has built-in dictionaries of medical, legal and technical terms, and also has a high speed of operation.
The features of OmniPage include the ability to create audio files from the text. At the same time, you can convert an image into a sound with one click, which will save your time considerably.
And this is not a program for text recognition,and a full-fledged online service that does not require installation on a computer. The Online version has a somewhat limited set of functions, compared to the desktop FineReader, but it still does its best with its basic tasks. Having recognized the text, you can either download it to your computer, or immediately download it to the cloud storage.
Unfortunately, like her older brother, FineReaderOnline is a paid program. Money is charged for each recognized page, but a few free attempts are given to each user per month.
New ORC is another convenient online service,which is also completely free. In addition to text recognition, in it you can adjust the brightness and contrast of the original image, rotate it if necessary, and select the format of the final document.
You can save the recognized test to the computer, after selecting the format you need, or immediately send it to the cloud storage.
To recognize text, you can usea tool that is almost always at hand for every person. It's about a smartphone or tablet. So, by installing the appropriate application, you can take a picture of the text, and then immediately convert it to digital format.
The most popular mobile programs forText recognition is considered TextGrabber + Translator (here there is also an interpreter function), CamScanner and Mobile Document Scanner. Each of them is better suited for certain devices, so you will have to experiment.
