Digital copies of text based research data (books, letters, etc.) often comprise various files and formats. nopaque converts and merges those files to facilitate further processing and the application of other services.

nopaque converts your image data – like photos or scans – into text data through OCR making it machine readable. This step enables you to proceed with further computational analysis of your documents.

nopaque converts your image data – like photos or scans – into text data through HTR making it machine readable. This step enables you to proceed with further computational analysis of your documents.

By means of computational linguistic data processing (tokenization, lemmatization, part-of-speech tagging and named-entity recognition) nopaque extracts additional information from your text.

nopaque lets you create and upload as many text corpora as you want. It makes use of CQP Query Language, which allows for complex search requests with the aid of metadata and NLP tags.