#Best graphic text recognition software pdf#
#Best graphic text recognition software verification#

#Best graphic text recognition software pdf#

The entire process of data conversion from original paper document, image or PDF takes less than a minute, and the final recognized document looks just like the original! In addition, you can use OCR software for creating searchable PDF archives. For example, if there is not a scanner close at hand or you cannot use it. In the same way, you can capture information from paper documents and books. With a digital camera and FineReader OCR, you can capture text outdoors from banners, posters and timetables and then use the captured information for your purposes. You can extract quotes from books and magazines and use them for creating your course studies and papers without the need of retyping. You can create an InputImage object from different sources, each is explained below. Then, pass the InputImage object to the TextRecognizers processImage method. With ABBYY FineReader OCR, you can scan paper documents for further editing and sharing with your colleagues and partners. To recognize text in an image, create an InputImage object from either a Bitmap, media.Image, ByteBuffer, byte array, or a file on the device. Advanced, powerful OCR software allows you to save a lot of time and effort when creating, processing and repurposing various documents.

With FineReader OCR, the recognized document looks just like the original.

#Best graphic text recognition software verification#

With dictionary support, the program ensures even more accurate analysis and recognition of documents and simplifies further verification of recognition results. This enables secondary analysis of the text elements on word level. In addition, ABBYY FineReader provides dictionary support for 48 languages. After processing huge number of such probabilistic hypotheses, the program finally takes the decision, presenting you the recognized text. Basing on these hypotheses, the program analyzes different variants of breaking of lines into words and words into characters. It advances numerous hypotheses about what this character is. Once the characters have been singled out, the program compares them with a set of pattern images. The lines are divided into words and then - into characters. It divides the page into elements such as blocks of texts, tables, images, etc. First, the program analyzes the structure of document image. LetвЂ™s take a look on how FineReader OCR recognizes text. These principles constitute the core of ABBYY FineReader OCR allowing it to replicate natural or human-like recognition. The exact mechanisms that allow humans to recognize objects are yet to be understood, but the three basic principles are already well known by scientists вЂ“ integrity, purposefulness and adaptability (IPA).