One of the largest cities in the US was struggling to process more than 200,000 multipage, handwritten paper housing registration forms each month. Their existing data capture partner scanned the forms and extracted handwritten data using single-pass verification, but typically only achieved 65% accuracy. A team of 4-6 full-time city employees worked to fix the errors and key in correct information from captured images across six different types of housing forms. The city fell weeks behind in their form reconciliations, leading to fines being levied on landlords for overdue documents. Disgruntled landlords who had submitted their forms on time called to challenge these fines, creating additional customer service burden for the city.