The National Library of Norway (NLN) holds a large collection of letters and manuscripts. However, the heterogeneity of handwritten documents is a bigger challenge in handwritten text recognition (HTR) than in OCR. The goal of the Hugin-Munin project is to extend the HTR capabilities to make handwritten documents searchable with high accuracy on the NLN portal. To reach this goal, TEKLIA will develop high performance HTR for Norwegian based on the latest deep learning techniques.