Classification and Understanding of documents based on their content. The classifier analyzes the text and sorts documents according to syntactical and semantic patterns into pre-trained categories. Classes can be arranged in a hierarchy to adequately reflect the organizational structure of a company e.g. in automatic mail processing. Also, this classifier is ultra-fast [ 1 ms] so that a multiple classification of the same document or page according to multiple criteria becomes easily possible. Laera Content Classifier using a Voting mechanism with a pretrained LLM Classifier that achieves superior results.

Once the document type is known from automatic or manual classification the document content can be analyzed and relevant information can be extracted. The approach of LAERA Information Extractor allows to find and extract and validate relevant data from forms, semi-structured documents and completely unstructured documents as e-Mails or contracts. Laera Extraction uses predictive generative algorithms to allow the system to find the correct content based on the context and trained models.