Systems and methods for securely generating and printing documents are disclosed. For example, processor(s) of a computer system may receive information for the document from a computing device through a network, verify the information for the document, and upon verification, generate document generation data using at least a portion of the information for the document. The document generation data may include document metadata that enables generation of an image of the document and/or the image of the document. Upon the processor(s) verifying first authentication information of a first code associated with a printing device received from the computing device through the network and second authentication information of a second code associated with the computing device received from the printing device through the network, the processor(s) may transmit the document generation data to the printing device through the network, and cause the printing device to print the image of the document.

Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.

A settlement system with higher security which replaces a settlement system using credit cards is provided. The settlement system has a user terminal, a settlement device, and a settlement terminal. First, a user ID, a password, and upper limit amount information identifying an amount are inputted in a user terminal 100 (S912), and sent to the settlement device (S913). The settlement device performs credit determination (S922), generates temporary permission information if credit is possible (S923), and sends the temporary permission information to the user terminal (S924). The user terminal generates a one-time password (S915). The one-time password is inputted to the settlement terminal (S931). If the one-time password sent from the settlement terminal to the settlement device is identical to the one-time password created in the settlement device, the settlement device allows a user's payment (S928).

An apparatus, method, and computer program product for generating a unified digital check register are provided. An example method includes receiving, by input/output circuitry, check data and determining, by check evaluation circuitry, whether the received check data corresponds to a digital check or a physical check. In response to determining that the received check data corresponds to a digital check, the method includes generating digital check data based on the received check data. In response to determining that the received check data corresponds to a physical check the method includes generating physical check data based on the received check data. The method further includes inserting, by registry management circuitry, any generated digital check data with any generated physical check data into a unified check dataset, and curating, by the registry management circuitry, a unified digital check register using the unified check dataset.

In an example embodiment, a payment processor automatically generates a virtual account number that can be used by customers to perform push payments, such as ACH, wire transfer, and direct deposits. This virtual account number may be surfaced to customers via invoices sent by service or product providers. The payment processor is then able to automatically match the payment sent to the virtual account number and the amount owed on the invoice.

Systems and methods are disclosed for establishing a video connection between a client device and a notary support terminal while enabling the client device and notary support terminal to notarize a digital document. In particular, the client device can display multiple panes simultaneously, the multiple panes including a first pane that displays the video chat and a second pane that displays at least one notarization interface for notarizing the digital document. While the client device displays the multiple panes and during the video chat, the disclosed systems can notarize the digital document by authenticating the user of the client device, collecting signatures from the user of the client device and the notary associated with the notary support terminal, and applying an electronic notary seal to the digital document.

Disclosed in some examples are methods, systems, devices, and machine-readable mediums that provide an ability for an entity to independently commence, advance, and complete a resource allocation offer in a matter of minutes as opposed to weeks or months after an automated resource pre-committal process. The system, using and incorporating machine learning techniques and algorithms, may have several phases, including a setup phase, resource pre-committal phase, an import phase, a processing phase, a verification phase, a resource allocation offer phase, and a resource allocation phase in which the system allocates resources to a vendor.

In an example embodiment, a payment processor automatically generates a virtual account number that can be used by customers to perform push payments, such as ACH, wire transfer, and direct deposits. This virtual account number may be surfaced to customers via invoices sent by service or product providers. The payment processor is then able to automatically match the payment sent to the virtual account number and the amount owed on the invoice.

Various methods, apparatuses, and media for implementing a check fraud detection module are provided. A processor parses received digital image of a check into separate portions, one of the portions including a signature of an account holder. The processor applies a machine learning model to generate a new 128-dimensional embedding of the signature of the account holder parsed from the received digital image of the check and compares it preauthorized historical reference 128-dimensional embedding of the signature stored onto a database. The processor generates, based on comparing, a similarity score between the new 128-dimensional embedding of the signature and the preauthorized historical reference 128-dimensional embedding of the signature; and identifies whether the received check is fraudulent or not based on the generated similarity score.

A method may include generating, by a computing device, a first dynamic QR code comprising a plurality of QR code frames, each QR code frame transmitted at a first frequency, the plurality of QR code frames comprising non-viable QR code frame(s) and at least one viable QR code frame. The method may include displaying, by the computing device, the first dynamic QR code, the at least one viable QR code frame displayed at a first time. The method may include transmitting, by the computing device, a first pulse to a user device. The method may include capturing, by the user device at the first time and in response to receiving the first pulse, the at least one viable QR code frame. The method may include generating and displaying, by the user device, a second dynamic QR code, causing the computing device to complete a requested transaction.