MiceText is a precise, technologically advanced, user-friendly and simple scan to text application and MT OCR engine. Conversion of its image (scan) to the editable text. Recognises more then 60 languages and more then 30 fonts
For immediate release Press Contact: MiceText Limited 220C Blythe Road W14 0HH London United Kingdom E-Mail: firstname.lastname@example.org
MiceText OCR 3.1 has been released.
MiceText is a precise, technologically advanced, user-friendly and simple scan to text application and MT OCR engine.
The aim of the application work is to copy (recognise) the contents of a scanned paper document (scan) to an editable text document. MiceText is an OCR application that copies documents - neither 'improves' not corrects them.
Document archiving is an every-day reality. Dozens of invoices, letters and documents of various kinds that come everyday to your company by fax and traditional mail, as well as those signed directly with customers have to be archived. Huge and fast-growing stacks of documents are becoming a problem in even the smallest business. A reasonable and optimal solution is scanning documents.
This process is implemented in many entities by using a basic scanner software provided by the manufacturer of the purchased scanner. It supports only a quick scanning of each page to form its graphic image. The document saved in this way does not allow a user to edit or modify its content. The analysis of paper documents is not very efficient and therefore expensive.
Formats of electronic documents that are very often the images of the scanned document (despite being saved in a file with the pdf or doc extensions) cannot search for short texts or whole phrases. This makes the effective work with documents of this type impossible. They are just a collection of disorderly scattered electronic pieces of paper, but not dynamically developed and systemized source of knowledge (knowledge base) about contracts, tasks, tenders, purchases or any other activities of your business. The model of systematized source of knowledge can be supported only by the OCR software that will convert an image scan of the paper document into an editable electronic form.