Distributed ledger based document image extracting and processing within an enterprise system
A method for use in a hybrid network ecosystem comprising an enterprise network and a reconciliation network, the method comprising generating, by at least one first computing node in the enterprise network or the reconciliation network, a first digital facilitator, wherein the first digital facilitator enables a first device to use a private key to access data associated with a distributed ledger operation. The method also comprises transmitting, via the reconciliation network, the data from the first computing device to a second computing device, wherein the first computing device and the second computing device are connected via the reconciliation network.
1. A method for improving processing, in an enterprise system, of information extracted from a document image, the method comprising:
receiving, using one or more computing device processors, a scan of a paper document;
generating, using the one or more computing device processors, a first file, wherein the first file is based on the scan of the paper document;
receiving, from an origination system, via an application programming interface (“API”), first information for performing a computing operation, wherein the first information comprises at least a first instruction comprising a transaction type, the first file, and at least one destination system;
onboarding, using a data hook, second information from at least one of the origination system or the at least one destination system, wherein the data hook comprises at least one of a digital matching operation or an association operation for retrieving the second information;
updating the first information for performing the computing operation based on the second information;
determining, using the one or more computing device processors, a digital facilitator comprising parameters for performing the computing operation;
converting, using the one or more computing device processors, the first instruction into a second instruction, wherein the second instruction is executable by the digital facilitator;
extracting, using the one or more computing device processors, a document image from the first file;
storing, using the one or more computing device processors, the document image in a document storage layer, wherein the document storage layer comprises at least one of an object storage database, a database manager, or an analytics engine;
retrieving, using the one or more computing device processors, the document image from the document storage layer;
sending, using the one or more computing device processors, the document image to a document analyzing system;
analyzing, using the document analyzing system or one or more machine learning operations, the document image;
generating, using the one or more computing device processors, a report based on an analysis of the document image by the document analyzing system;
accessing, using the one or more computing device processors, a distributed ledger;
executing, using the one or more computing device processors and the digital facilitator, based on the transaction type, the computing operation on the distributed ledger;
generating, using the one or more computing device processors and the digital facilitator, a result;
updating, using the one or more computing device processors, the distributed ledger based on the result;
sending, using the one or more computing device processors, the result, the report, and the document image to the at least one destination system; and
sending, using the one or more computing device processors, an alert to the origination system indicating that the computing operation has been executed.
2. The method of claim 1 , wherein the transaction type is associated with a transfer of a digital asset.
3. The method of claim 1 , wherein the at least one destination system is associated with at least two destinations.
4. The method of claim 1 , wherein the second instruction is updated based on the analyzing of the document image.
5. The method of claim 1 , wherein at least one of the transaction type, the first instruction, or the second instruction are assigned a tracking identifier.
6. The method of claim 5 , wherein the tracking identifier is generated and monitored by the digital facilitator.
7. The method of claim 6 , wherein the tracking identifier is sent to at least one of the origination system or the at least one destination system.
8. The method of claim 1 , wherein the one or more machine learning operations comprises at least one of: a rules engine based operation, an artificial intelligence based operation, and optical character recognition.
9. An apparatus for extracting and processing documents within an enterprise system, the apparatus comprising:
one or more computing device processors;
one or more memory systems comprising code, executable by the one or more computing device processors, and configured to:
receive a scan of a paper document;
generate a first file, wherein the first file is based on the scan of the paper document;
receive, from an origination system, via an application programming interface (“API”), first information for performing a computing operation, wherein the first information comprises at least a first instruction comprising a transaction type, the first file, and at least one destination system;
onboard, using a data hook, second information from at least one of the origination system or the at least one destination system, wherein the data hook comprises at least one of a digital matching operation or an association operation for retrieving the second information;
update the first information for performing the computing operation based on the second information;
provide a digital facilitator comprising parameters for performing the computing operation;
convert the first instruction into a second instruction, wherein the second instruction is executable by the digital facilitator;
extract a document image from the first file;
store the document image in a document storage layer, wherein the document storage layer comprises at least one of an object storage database, a database manager, or an analytics engine;
retrieve, using the one or more computing device processors, the document image from the document storage layer;
send, using the one or more computing device processors, the document image to a document analyzing system;
analyze, using the document analyzing system or one or more machine learning operations, the document image;
generate a report based on an analysis of the document image by the document analyzing system;
access a distributed ledger;
execute, based on the transaction type, the computing operation on the distributed ledger;
generate, using the digital facilitator, a result;
update the distributed ledger based on the result;
send the result, the report, and the document image to the at least one destination system; and
send an alert to the origination system that the computing operation has been executed.
10. The apparatus of claim 9 , wherein the transaction type is associated with a transfer of a digital asset.
11. The apparatus of claim 9 , wherein the at least one destination system is associated with at least two destinations.
12. The apparatus of claim 9 , wherein the second instruction is updated based on the analyzing of the document image.
13. The apparatus of claim 9 , wherein at least one of the transaction type, the first instruction, or the second instruction are assigned a tracking identifier.
14. The apparatus of claim 13 , wherein the tracking identifier is generated and monitored by the digital facilitator.
15. The apparatus of claim 14 , wherein the tracking identifier is sent to at least one of the origination system or the at least one destination system.
16. The apparatus of claim 9 , wherein the one or more machine learning operations comprises at least one of: a rules engine based operation, an artificial intelligence based operation, and optical character recognition.