Abstract: Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and a user profile may be retrieved. The user profile may include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for dynamically detecting duplicate items are provided. In some examples, a system, may receive a document, document image, document details or the like. The system may identify at least one other document for comparison to the received document. The system may perform optical character recognition on the document or document image to identify data within one or more standard fields of the document. The detected data may be compared to the at least one other document and, if no matches exist, the document may be identified as not a duplicate. If one or more matches exist, the system may identify x and y coordinates of a location of data within one or more standard fields on the received document. A corresponding location on the at least one other document may be identified based on the x and y coordinates.

Abstract: Aspects of the disclosure relate to processing systems that perform item recognition and profile generation for dynamic event processing. A computing platform may receive a first check image containing first check data, and may generate a profile correlating the first check data to a user account. The computing platform may receive a second check image containing second check data. The computing platform may receive profile information corresponding to one or more recognized fields of the second check image, where the profile information includes the information associated with the profile. The computing platform may determine whether a confidence score indicating a correlation between the second check data and the profile exceeds a predetermined correlation threshold. Based on determining that the confidence score does exceed the predetermined correlation threshold, the computing platform may send commands directing an event processing platform to process the second check image based on the profile.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.

Abstract: Systems for profile management and control are provided. A system may receive an instrument or image of an instrument. In some examples, data may be extracted from the instrument or image of the instrument and a document profile may be retrieved based on the extracted data. Images within the document profile may be evaluated to identify a type of document for each document. In some examples, a total number of documents of each type may be determined or identified. The total number of documents may be compared to a threshold. If the total number of documents is below the threshold, the documents or images in the profile may be maintained. If the total number of documents is at or above the threshold, in some examples, each document may be further evaluated to determine or identify documents or document images for deletion. In some arrangements, the profile may be refreshed and documents or images identified for deletion may be deleted.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and a user profile may be retrieved. The user profile may include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Systems for dynamic profile control are provided. A system may receive first check data that may include a number of checks written over a predetermined time period for an account, or the like. The first check data may be analyzed to determine a number of checks written in a predetermined time period and the volume or number may be compared to one or more thresholds or ranges. Based on the comparison, a first tier level may be identified for the account or the like. A profile record may be generated including a check profile that may include one or more parameters determined based on the identified first tier level. The system may then build the profile by adding checks or other documents to the profile upon determining that the checks or other documents meet predefined criteria. After a predetermined time period has expired, the system may process additional data to determine whether the identified tier level and associated parameters should be modified.

Abstract: Systems for dynamically detecting duplicate items are provided. In some examples, a system, may receive a document, document image, document details or the like. The system may identify at least one other document for comparison to the received document. The system may perform optical character recognition on the document or document image to identify data within one or more standard fields of the document. The detected data may be compared to the at least one other document and, if no matches exist, the document may be identified as not a duplicate. If one or more matches exist, the system may identify x and y coordinates of a location of data within one or more standard fields on the received document. A corresponding location on the at least one other document may be identified based on the x and y coordinates.

Abstract: Embodiments of the present invention provide a system for image capture and conversion. The system receives or captures an image of a resource document comprising image coordinates. The system can then cause a user interface of a computing device to display the image of the resource document and request that a specialist provide an input of an image coordinate area associated with a data field of the resource document. The specialist then provides a selection of boundaries for the coordinate area that encloses a value of the data field within the image of the resource document. The system then applies a data field-specific OCR process to the provided image coordinate area to extract a value of the data field. The extracted value can be presented on the display along with an enlarged view of the image coordinate area to allow the specialist to verify the accuracy of the extracted value.

Abstract: Embodiments of the present invention provide apparatuses and methods that help validate and process payment instruments for different products, such as but not limited to credit card payments, mortgage payments, or any other type of payment. The payment amount from a payment instrument may be determined from a multiple locations on the payment instrument. In addition, a payment amount may be determined from a remittance document that accompanies the payment instrument, such as a remittance coupon that is mailed along with a check. The amount in the remittance courtesy box, the minimum amount due, the last payment made, and the full balance remaining may all be captured and used to validate the amount on the payment instrument. Moreover, one or more confidence scores for the amounts on the payment instrument and remittance document may be used to validate the payment amount.

Abstract: Embodiments of the present invention provide a system for dynamically tuning optical character recognition (OCR) processes. The system receives or captures an image of a resource document and uses a general or default OCR process to identify a source of the document and values of multiple data fields in the image of the document. When the system determines that a data field is missing or cannot be extracted, it causes a computing device to display the image of the resource document and requests user input of a coordinate area of the missing data field from an associated specialist. Once the user input is received, the system applies a data field-specific OCR process on the coordinate area of the missing data field to extract the value of the data field. This value of the missing data field can be transmitted to a processing system for further processing.

Abstract: Embodiments of the present invention provide a system for dynamically tuning optical character recognition (OCR) processes. The system receives or captures an image of a resource document and uses a general or default OCR process to identify a source of the document and values of multiple data fields in the image of the document. When the system determines that a data field is missing or cannot be extracted, it causes a computing device to display the image of the resource document and requests user input of a coordinate area of the missing data field from an associated specialist. Once the user input is received, the system applies a data field-specific OCR process on the coordinate area of the missing data field to extract the value of the data field. This value of the missing data field can be transmitted to a processing system for further processing.

Abstract: Embodiments of the present invention provide a system for image capture and conversion. The system receives or captures an image of a resource document comprising image coordinates. The system can then cause a user interface of a computing device to display the image of the resource document and request that a specialist provide an input of an image coordinate area associated with a data field of the resource document. The specialist then provides a selection of boundaries for the coordinate area that encloses a value of the data field within the image of the resource document. The system then applies a data field-specific OCR process to the provided image coordinate area to extract a value of the data field. The extracted value can be presented on the display along with an enlarged view of the image coordinate area to allow the specialist to verify the accuracy of the extracted value.

Abstract: Embodiments of the present invention provide apparatuses and methods that help validate and process payment instruments for different products, such as but not limited to credit card payments, mortgage payments, or any other type of payment. The payment amount from a payment instrument may be determined from a multiple locations on the payment instrument. In addition, a payment amount may be determined from a remittance document that accompanies the payment instrument, such as a remittance coupon that is mailed along with a check. The amount in the remittance courtesy box, the minimum amount due, the last payment made, and the full balance remaining may all be captured and used to validate the amount on the payment instrument. Moreover, one or more confidence scores for the amounts on the payment instrument and remittance document may be used to validate the payment amount.

Abstract: A system for optical character recognition pre-verification is provided. The system may review payment documents. The payment documents may include remit stubs and paper checks. The system, utilizing optical character recognition software, may determine dollar amounts on the remit stubs and the paper checks. The optical character recognition software may determine a confidence level of whether the determined amount is the same amount that the writer of the check. If the confidence level is above first predetermined threshold level of confidence and below a second predetermined threshold level of confidence, the system may present an operator with a pre-verification GUI. The pre-verification GUI may include a view of the remit stub, a view of the check, the dollar amount due, a match button and a do not match button. Upon selection of either the match or do not match button, the payment may be processed in another check-processing system.