6. A method for reducing a number of user corrections entered to obtain a correct account number for a financial transaction card, comprising: receiving, from a server configured to perform text recognition, multiple versions of text recognition results, each version comprising multiple character positions with one or more corresponding recognized characters; identifying a best guess from the multiple versions of text recognition results; displaying a textual representation of the best guess; receiving a correction character corresponding to a character of the textual representation, the correction character indicating a difference between the best guess and the correct account number; eliminating, based on the correction character, one or more of the multiple versions of text recognition results to create one or more remaining versions by: eliminating any of the multiple versions that do not match the correction character; and eliminating any of the multiple versions that, based on the correction character, either do not satisfy the Luhn algorithm or do not match any of multiple known issuer identification numbers; identifying a new best guess from the remaining versions; and updating the textual representation with the new best guess showing at least: a first difference indicating the correction character, and a second difference indicating a difference between the best guess and the correct account number other than the correction character.
6. A method for reducing a number of user corrections entered to obtain a correct account number for a financial transaction card, comprising: receiving, from a server configured to perform text recognition, multiple versions of text recognition results, each version comprising multiple character positions with one or more corresponding recognized characters; identifying a best guess from the multiple versions of text recognition results; displaying a textual representation of the best guess; receiving a correction character corresponding to a character of the textual representation, the correction character indicating a difference between the best guess and the correct account number; eliminating, based on the correction character, one or more of the multiple versions of text recognition results to create one or more remaining versions by: eliminating any of the multiple versions that do not match the correction character; and eliminating any of the multiple versions that, based on the correction character, either do not satisfy the Luhn algorithm or do not match any of multiple known issuer identification numbers; identifying a new best guess from the remaining versions; and updating the textual representation with the new best guess showing at least: a first difference indicating the correction character, and a second difference indicating a difference between the best guess and the correct account number other than the correction character. 9. The method of claim 6 wherein displaying the textual representation of the best guess comprises providing an indication that one or more characters of the textual representation have individual confidence scores below a specified threshold level.