All documents are scanned with the patented Qidenus technology, which guarantees the highest standards in terms of document protection.
Our expertise and strict safety guidelines have enabled us to successfully digitize more than 982 million pages over the last 12 years without causing any damage to the files.
Archives can choose to digitize their documents on-site or in our digitization center located in Vienna.
The pace of digitization may vary depending on the type of documents being scanned, their fragility, and their format. Please contact us to obtain an estimate of the time required to digitize your collection.
Handwriting Text Recognition (HTR) is a technology that converts handwritten text into digital text.
In our development process we use machine learning algorithms called Hidden Markov Models and Neural Networks.
Want to find out more? Visit our Searchink website.
Our usual scanning services allows for the digitization of any type of document, book, bound material, archive material, photograph, or loose document in formats Din A8 – Din A0.
However, if your collection requires special treatment and/or has an unusual format, please contact us to find an optimal solution for your documents.
After the digitization process, we convert handwritten text from the scanned documents into digital text using HTR technology. From a technological perspective, this is equivalent to extracting from an image letters and words that are recognizable to computer programs. We are converting an image of text into actual, machine-encoded text. That way, a computer can recognize and process the whole content of the digitized document.
The crucial benefit of the obtained digital text versus the original image of a handwritten document is its searchability. Our software allows one to automatically find relevant words and content in the entire document.
Text searchability allows users to find a word, letter, or text snippet in the whole repository of documents. The search results are not limited to indexed and transcribed elements but cover the whole text contained in the documents.
As a result, your customers will be able to find relevant content more easily and obtain more accurate search results. Additionally, the technology will significantly reduce the amount of manual indexing work required to offer an effective internal archival search engine.