The OCR, or Optical Character Recognition, text in BHL is generally automatically-generated and uncorrected, meaning that it may be incomplete or contain errors. We do not yet have a way for users to directly correct the OCR within BHL.
We have implemented functionality to allow BHL Partners to upload transcriptions in place of the automatically-generated OCR (Optical Character Recognition) for archival materials digitized in BHL. You are welcome to help improve the OCR for these materials by participating in various Partner crowdsourcing projects from which BHL sources transcriptions, such as the Smithsonian Transcription Center, FromThePage, and DigiVol.
Tags: crowdsourcing, OCR, text recognition, text correction, citizen science