PDF Tools’ Swiss engineering standards make them the trusted choice for over 6,000 clients around the world, including Smallpdf, Lufthansa, UBS, and Swiss Life, among others. We’ve worked with them for many years, using their premium document processing capabilities, especially compression, to bring the best PDF tools to our users. Hans Bärfuss in 2002, PDF Tools is a best-in-class document processing technology provider.

Who Are PDF Tools?įounded by renowned expert Dr. With offices in Zurich and Belgrade and a staff of over 90 employees, Smallpdf has been experiencing a period of hyper-growth and this acquisition will solidify our standing as a leader in the global document management market. Smallpdf started out as a single compression tool in 2013, and now we’ve expanded to a suite of 20+ PDF tools used by over 50 million users a month. Their market-leading document rendering, manipulation, and conversion solutions have been the backbone of Smallpdf’s most used products,’ says Dennis Just, CEO of Smallpdf. PDF Tools has been a superb partner of ours over the years. ‘We’re very proud and excited to announce this milestone in Smallpdf’s journey. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.Zurich-based document and contract management software platform, Smallpdf, has acquired PDF Tools, a Swiss-owned global provider of PDF manipulation technology for a cash consideration of $30 million.

Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs.

OCR is a field of research in pattern recognition, artificial intelligence and computer vision.Įarly versions needed to be trained with images of each character, and worked on one font at a time. Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation – it is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast).

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