In this talk I will review some of the methods being used in the Muninn project to extract information from the scanned documents of historical archives. Previous data extraction efforts for historical research were done through the human review of documents, one at a time. We employ an approach where computing power is used to collate similar document types to extract the information from them.
The Great War era produced a mix of hand-written and type-written documents that require processing using computer extraction methods assisted by the manual reviews of specific cases by human volunteers. I will contrast this with previous methods that have been used to digitize documents, such as recapchat, and close with some observations about managing archival data in a high-volume setting.