A lot of information is stored as text in and scattered throughout many documents. Hidden in a sprawl of folders. Extensive text is shared in PDF format for the purpose of conveying very specific information. However, much of this content is irrelevant to the reader, difficult to search, and must be copied manually.
Consequence: finding the right information, keeping documents up to date, ensuring the most recent version of a manual is accessed, and sharing specifications in a PDF often leads to a high degree of inefficiency. It takes a lot of valuable time and money, if it is possible at all.
“Manage once, use in multitude”
Manage libraries of relevant specifications, standards and guidelines in a central location. As a result, you turn plain text, into smart structured information, which different applications can make use of. This makes finding and applying the right information much quicker, greatly reduces the likelihood of errors in interpreting data, and ensures that the content is now suitable for reuse.
This goes far beyond solutions that facilitate finding, collaborative editing and sharing of documents. The limitation of those applications is that the information in a document remains fixed. With Laces you turn the content in documents (document based) into structured information (model based) and therefore suitable to be used in applications.
Achieve huge time savings, save money and reduce frustration in managing and using information in documents.
Natural Language Processing (NLP)
The Specifications Library is a great tool for turning implicit PDF documents into explicitly modelled information. However, manually extracting specifications from hundreds of pages is a daunting task. Using Natural Language Processing, we can offer users the possibility to automatically transform PDFs into content that can be imported directly in a Specification Library workspace.
Anyone who works with a lot of documents. Now if this leads to repetitive actions, making mistakes and losing time, then this Laces application will make significant gains. Information in documents becomes suitable for reuse and sharing specific information with others becomes much more efficient.
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