Abstract: Among other things, embodiments of the present disclosure enables corporate entities to connect with each other and enables social networking interactions, credibility rating, identity verification, and/or business transactions between the corporate entities.

Abstract: Methods, systems, and computer storage media are provided for data extraction. A target document representation may be generated based on modified text of a target electronic document. A measure of similarity may be determined between the target document representation and a reference document representation, which may be based on modified text of a reference electronic document. Based on the measure of similarity, the reference document representation may be selected. An extraction model associated with the selected reference document representation can then be used to extract data from the target document.

Abstract: Image data having text associated with a plurality of text-field types is received, the image data including target image data and context image data. The target image data including target text associated with a text-field type. The context image data providing a context for the target image data. A trained neural network that is constrained to a set of characters for the text-field type is applied to the image data. The trained neural network identifies the target text of the text-field type using a vector embedding that is based on learned patterns for recognizing the context provided by the context image data. One or more predicted characters are provided for the target text of the text-field type in response to identifying the target text using the trained neural network.

Abstract: Image data having text associated with a plurality of text-field types is received, the image data including target image data and context image data. The target image data including target text associated with a text-field type. The context image data providing a context for the target image data. A trained neural network that is constrained to a set of characters for the text-field type is applied to the image data. The trained neural network identifies the target text of the text-field type using a vector embedding that is based on learned patterns for recognizing the context provided by the context image data. One or more predicted characters are provided for the target text of the text-field type in response to identifying the target text using the trained neural network.

Abstract: Among other things, embodiments of the present disclosure enables corporate entities to connect with each other and enables social networking interactions, credibility rating, identity verification, and/or business transactions between the corporate entities.

Abstract: Among other things, embodiments of the present disclosure may be used to enable multiple entities having interests in an event (such as a transaction) to receive and view information related to the event. Entities may receive alerts and status information related to different aspects of a transaction or other event.

Abstract: Embodiments of the present disclosure may be used to scan a check or other payment instrument into an image file and apply a credit to one or more invoices associated with the entity, such as invoices issued by a business partner of the entity originating the check. Where there are multiple invoices outstanding invoices, embodiments of the present disclosure can selectively apply credits to such invoices based on input from the entity and/or based on rules defining how such credit are to be applied to the invoices.

Abstract: Enhanced systems and methods for processing invoices, payments, and money transfers are described. One aspect of the invention is a computer-implemented method (and corresponding system and computer program product) for inviting an entity to open an account at a billing and payment system, the method comprising: issuing a check payable to the entity, wherein a checkbox for opening an account at the billing and payment system is printed on an endorsement section of the check along with a reference to additional information regarding additional information related to the account opening; receiving an image of the endorsement section of the check after the check is cleared; determining whether the checkbox is checked in the image; and responsive to a determination that the checkbox is checked, opening an account for the entity at the billing and payment system.

Abstract: Among other things, embodiments of the present disclosure enables corporate entities to connect with each other and enables social networking interactions, credibility rating, identity verification, and/or business transactions between the corporate entities.

Abstract: Among other things, embodiments of the present disclosure may be used to enable multiple entities having interests in an event (such as a transaction) to receive and view information related to the event. Entities may receive alerts and status information related to different aspects of a transaction or other event.

Abstract: Embodiments of the present disclosure may be used to scan a check or other payment instrument into an image file and apply a credit to one or more invoices associated with the entity, such as invoices issued by a business partner of the entity originating the check. Where there are multiple invoices outstanding invoices, embodiments of the present disclosure can selectively apply credits to such invoices based on input from the entity and/or based on rules defining how such credit are to be applied to the invoices.