11. A system for creating digitized text for a record from an image of the record, comprising: one or more processors; and a memory, the memory storing instructions that are executable by the one or more processors and configure the system to: obtain a digital image of a record; evaluate the record image in order to locate each of multiple word images; for each located word image, identify multiple word features of that word image; assign each of the multiple word images that have similar word features to one of a plurality of word clusters; select a representative word image in each of the word clusters as a centroid; receive, from an analyst, the centroid in each of the word clusters, and entering digitized text for the centroid; and assign the digitized text for the centroid to all other word images in the same word cluster as the centroid.
11. A system for creating digitized text for a record from an image of the record, comprising: one or more processors; and a memory, the memory storing instructions that are executable by the one or more processors and configure the system to: obtain a digital image of a record; evaluate the record image in order to locate each of multiple word images; for each located word image, identify multiple word features of that word image; assign each of the multiple word images that have similar word features to one of a plurality of word clusters; select a representative word image in each of the word clusters as a centroid; receive, from an analyst, the centroid in each of the word clusters, and entering digitized text for the centroid; and assign the digitized text for the centroid to all other word images in the same word cluster as the centroid. 17. The system of claim 11 , wherein each word image is assigned to a word cluster based on its feature vector, by: calculating a distance between each one of the multiple word images and every other one of the multiple word images, based on feature vectors associated with those word images; selecting, from among the multiple word images, two of the word images that are closest in distance to each other; and assigning the two of the word images to the word cluster.