78 results about "DigiDoc" patented technology

The present disclosure relates to systems, methods, and non-transitory computer-readable media that iteratively generates, utilizing a machine learning model, text responses to reduce hallucinated content. In particular, in some embodiments, the disclosed systems receive a digital query and selects one or more supporting digital documents for the digital query. Furthermore, in some embodiments the disclosed systems generate a first text response from a first text prompt generated by using the digital query. Moreover, in some embodiments the disclosed systems extract a misalignment portion of the first text response by comparing the first text response and the one or more supporting digital documents. Additionally, from the misalignment portion of the first text response and the digital query, the disclosed systems further generate a second text response.

Embodiments extract a key phrase from an online profile of a user of a professional social network (PSN) and identify a set of skills associated with the key phrase. A set of skill embeddings corresponding to the identified set of skills may be retrieved from a store of skill embeddings. The skill embeddings may be pre-created by a large language model (LLM). The retrieved skill embeddings may be aggregated to create a skill-centric digital representation of the user. Based on the skill-centric digital representation of the user, a subset of digital documents may be identified to present to the user via the PSN.

Methods, systems, and non-transitory computer readable storage media are disclosed for optimizing computer memory usage for lookup lists in computer memory via probabilistic data structures. For example, the disclosed system generates a probabilistic data structure (e.g., a Bloom filter) to represent data in a lookup list including multi-token items by hashing items of the lookup list to sets of bit values in a bit vector. The disclosed system classifies text content in a digital document by utilizing a maximum number of tokens from multi-token items in the lookup list to select and compare sets of sequential tokens in the digital document to the probabilistic data structure. The disclosed system also iteratively reduces the number of tokens in sets of sequential tokens for subsequent comparisons. Furthermore, in some aspects, the disclosed system causes a computing device to modify a digital document and / or database operations based on the classifications.

Thematic summary generation of digital document techniques are described. A one or more semantic groups are parsed having differences, one to another, from first and second digital documents by comparing the first and second digital documents. Text descriptions of the one or more semantic groups are acquired. The text descriptions are generated using generative artificial intelligence as implemented by at least one machine-learning model. One or more clusters are formed based on the text descriptions and a cluster description of the one or more clusters is obtained. The cluster description is generated using generative artificial intelligence as implemented by at least one machine-learning model. A thematic summary is constructed of the differences in the first and second digital documents based on the cluster description for output in a user interface.

A secure digital management tool for managing real estate ownership and leases, consisting of: a tamper-proof enclosure containing a secure processing module; a biometric authentication module comprising a fingerprint sensor and an iris scanner, which are operationally coupled with a secure biometric engine to verify a user's physical identity; a document integrity module configured to generate a cryptographic hash of a digital document representing a certificate of ownership or a lease agreement; a smart contract engine configured to compile and execute the logic for legal transactions related to ownership in a Turing-complete virtual machine environment, the logic defining obligations, rights, payment schedules or renewal triggers encoded in the lease or ownership contract; a blockchain interface processing unit operationally connected to the document integrity module and the smart contract engine, wherein the blockchain interface processing unit is configured to anchor cryptographic hashes of the documents and the execution status of smart contracts in a decentralized ledger network; a secure element embedded in the secure processing module and configured to store cryptographic private keys and perform isolated signature and encryption operations without exposing confidential key material to general storage space; a communication subsystem that includes at least one of the following elements: a GSM / 4G module, a Wi-Fi 6 module and a GPS receiver, configured for secure network connectivity and geolocation binding of transactions; a touchscreen interface configured for displaying transaction forms, digital agreements, and interactive contract signing interfaces, the interface also including pen input for capturing digital handwritten signatures; and a secure audit trail subsystem configured to maintain a chronologically ordered, append-only log of all biometric access events, document hash generations, blockchain anchoring events, and smart contract lifecycle transitions, with the audit trail regularly hashed and anchored for forensic integrity in a decentralized blockchain network.

A method of digital document review using factor graph document databases comprising an extract method and a summarise method, wherein the extract method uses a Large Language Model (LLM) to decompose into variables and elements a document or series of documents and to identify new terms semantically associated with the description of the interest of the desired audience for the document review process, and representing the variables and elements in a factor graph document database, and wherein the summarise method includes indexing the factor graph document database based on terms of interest to the audience of the review, and inferring which of the new variables and elements are relevant to the audience, and reconstructing a human interpretable document out of the variables and elements inferred in the factor graph document database.

Methods and systems for generating live digital documents are provided. The method includes receiving a static document file including human-readable data. Then, parsing the static document file into a plurality of subunits. Then, generating a sharable document splice of the static document file. The sharable document splice includes access to a subset of the plurality of subunits, and the access is provided through an Application Programming Interface (API) or Software Development Kit (SDK) endpoint for each subunit in the subset. Then, executing a digital thread script to generate the live digital document from the sharable document splice and an input digital model representation, using API or SDK endpoints in the sharable document splice. The live digital document is configured through the digital thread script to reflect changes in the input digital model representation. Finally, adding execution metadata for the execution of the digital thread script to the live digital document.

An apparatus comprises at least one processing device configured to receive a cryptographically attested digital document from an onboarding management system, wherein the cryptographically attested digital document comprises one or more credentials for at least one device requesting access to a secure communication channel to communicate with the onboarding management system. The at least one processing device is further configured to verify whether the cryptographically attested digital document is valid, and identify the one or more credentials in response to verifying that the cryptographically attested digital document is valid. The one or more credentials are transmitted to at least one authenticator in response to a request from the at least one authenticator to authenticate the at least one device. The at least one device is given the access to the secure communication channel responsive to verification of the one or more credentials by the at least one authenticator.

In one aspect, a computerized method for document extraction workflow for unstructured documents includes the steps of implementing a text mining operation on a set of digital documents the incoming documents. This is done by defining a document type of each digital document. Based on the document type, the method defines a set of data dictionaries to extract any data from each digital document. The method uses the defined set of data dictionaries to extract any data from each digital document.

In an embodiment, a method of blockchain-enhanced proof of identity (POI) includes receiving identity information of a user in connection with a POI request. The method also includes generating a first cryptographic hash using at least a portion of the identity information and storing the first cryptographic hash on a public blockchain in a first blockchain transaction. The method also includes establishing a request identifier based on the first blockchain transaction. The method also includes receiving a digital image that depicts the user together with a POI document, the digital image including the request identifier. The method also includes creating a POI digital document comprising at least a portion of the digital image. The method also includes generating a second cryptographic hash using at least a portion of the POI digital document and storing the second cryptographic hash on the public blockchain in a second blockchain transaction.

The invention discloses a hybrid PDF (Portable Document Format) document analysis and knowledge fragment construction method and device, and belongs to the technical field of digital document intelligent processing. The method comprises the following steps: firstly, carrying out layout element identification and semantic classification on a PDF page through a deep learning model, and calculating the confidence of the PDF page; when the confidence coefficient is lower than or equal to a threshold value, a correction module based on vertical and horizontal projection analysis is automatically switched to carry out boundary detection and result error correction; the fused layout result is converted into structured JSON data, and the structured JSON data is further mapped into a Markdown format with a reserved title level; and finally, knowledge fragment segmentation is carried out based on a Markdown hierarchical relationship, so that each fragment carries a complete title context path. According to the method, the problems of semantic deficiency, insufficient stability and context splitting in the prior art are effectively solved, and the robustness and accuracy of complex format PDF and low-quality scanning copy analysis and the interpretability of downstream knowledge retrieval are remarkably improved.

The invention relates to the field of data processing, in particular to a scientific and technological achievement data batch arrangement method based on OCR and semantic processing. Comprising the following steps: scanning paper scientific and technological achievements to obtain an archive image; preprocessing and segmenting the archive image, and converting the archive image into a digital document; extracting corresponding metadata from the digital document; storing the digital document and the corresponding metadata into a database as a paper scientific and technological achievement in a structured data form; generating a knowledge graph according to the digital document and the corresponding metadata, and storing the knowledge graph in a graph database in a knowledge graph form; storing the original scanning copy of the paper scientific and technological achievement into the storage object; correlating the contents of the same paper scientific and technological achievements in the database, the graph database and the object storage. Through the multi-mode OCR recognition, dynamic semantic annotation, intelligent data analysis and knowledge fusion technology, full-process automation of scientific and technological achievement data from collection, processing to storage is achieved.

An intelligent and multi-layered approach that uses real-time analysis to identify and confirm the authenticity and inauthenticity of bulk digital documents. Support Vector Machine (SVM) learning is implemented to perform significant attribute validations, such as barcode validation, image-specific validations, and signature validations. An SVM classifier is implemented to compare, analyze, predict the accuracy of the document (i.e., quantify the certainty of authenticity) and decision the documents as either valid / authentic or invalid / tampered-state. Neuro-symbolic Artificial Intelligence (AI) technology is subsequently implemented to confirm or deny the authenticity decision resulting from the SVM classifier.

A digital documentation system for preparation of engineering documents utilizing one or more artificial intelligence (AI) algorithms is provided. The system includes a user interface for selecting and populating templates with data, and one or more AI algorithms for creating and recommending templates, and preparing documents based on the recommended templates. The system uses natural language processing and semantic analysis algorithms to understand the content of the templates, documents, and associated engineering data, and to generate and recommend relevant templates to the user based on user prompts. The system also uses machine learning and predictive modeling and decision-tree algorithms to assist with the preparation of documents, by generating suggestions for data fields and values based on the user's previous inputs and the overall context of the document and available engineering data, including model data and metadata from digital models accessed in a zero-trust framework.

A method performed by a computer system for providing a digital document organizer service is disclosed. The method includes generating a digital document organizer for a user of an online software platform, adding at least a digital document to the digital document organizer, wherein the digital document represents a certification issued by a certifying authority, generating metadata associated with the digital document based on analyzing the digital document, storing metadata associated with the digital document, receiving, over a network, a request by the user to view the digital document, retrieving the digital document from a database in response to receiving a request to view the digital document, and transmitting the digital document and the metadata associated with the digital document to a device operated by the user as a response to the request to view the document.

This disclosure describes methods, non-transitory computer readable storage media, and systems that use intelligent digital content analysis and large language models to resolve transaction disputes. The disclosed system selects appropriate digital content analysis tools for analyzing digital documentation including details of a transaction in response to a transaction dispute. The disclosed system utilizes data extracted from the digital documentation to generate a number and type(s) of model prompts to provide to a large language model based on attributes of the transaction dispute. The disclosed system uses responses generated by the large language model for the model prompts to determine a dispute resolution operation (e.g., approval, denial, or agent review). Furthermore, the disclosed system provides a response to the request to one or more computing devices associated with the request in response to execution of the dispute resolution operation.

A system and method are provided by which an electronic address associated with a user is monitored. Based on the monitoring, an electronic message is detected including a digital document. A cryptographic function is applied to the digital document to generate a hash which is rendered accessible at a network location. An identification of the network location of the hash is transmitted to a first computing system associated with the user.

The invention relates to the technical field of computer information processing, in particular to a digital document management system and method and a storage medium, and the management method comprises the following steps: obtaining a to-be-sorted file and a file sorting instruction during file sorting; identifying a file sorting instruction based on a large language model, carrying out file content integration on a to-be-sorted file, generating an abstract corresponding to the to-be-sorted file, and generating a file sorting scheme according to a set sorting rule; when a confirmation instruction of the file arrangement scheme is received, the file arrangement scheme is executed to store the to-be-arranged file, and file arrangement is completed; when the file is retrieved, obtaining a file retrieval condition; and retrieving in the stored file according to the file retrieval condition, and returning a file information list meeting the file retrieval condition. According to the system and the method, file retrieval universality and accuracy can be improved, and compared with manual operation of traditional arrangement, the system and the method have the advantage that manual intervention links are reduced through workflows.

A method of anonymizing a digital document includes: receiving a digital source document containing text including at least one date; referring to a user-defined rule set, wherein the rule set includes at least a date offset function; and applying modifications to the digital source document according to the user-defined rule set, so as to anonymize the digital source document, the modifications including changing the least one date to a different date in accordance with the date offset function; and saving the modified digital source document as an output document.

System and methods for validating and confirming the integrity of documents and for validating identity related to the documents based on artificial intelligence and / or blockchain systems. In embodiments, a system implements validation controls to validate and / or confirm the integrity of documents to safeguard against document tampering, ensuring the integrity of the document remains intact throughout the signing process and afterwards. In addition, in embodiments, a system with enhanced functionality implements advanced verification and / or validation mechanisms to ensure the identity of the signatory parties of a document accurately reflects the authorized individual(s). The advantageous result of a system implemented in accordance with the present disclosure is a system that is able to address the critical gaps of current existing digital signature systems and in doing so, the present disclosure enables a system to significantly bolster the security, reliability, and trustworthiness of digital document signing and management.

A digital documentation system for preparation of engineering documents utilizing one or more artificial intelligence (AI) algorithms is provided. The system includes a user interface for selecting and populating templates with data, and one or more AI algorithms for creating and recommending templates, and preparing documents based on the recommended templates. The system uses natural language processing and semantic analysis algorithms to understand the content of the templates, documents, and associated engineering data, and to generate and recommend relevant templates to the user based on user prompts. The system also uses machine learning and predictive modeling and decision-tree algorithms to assist with the preparation of documents, by generating suggestions for data fields and values based on the user's previous inputs and the overall context of the document and available engineering data, including model data and metadata from digital models accessed in a zero-trust framework.

One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

The online system extracts information from unformed documents. The online system receives an image of the form document and obtains a set of phrases and the locations of the phrases on the form image. For at least one field, the online system determines a key score for the set of phrases. The online system identifies a set of candidate values ​​for the field from the identified set of phrases and identifies a set of neighbors for each candidate value from the identified set of phrases. The online system determines neighbor scores, where the neighbor scores for the candidate values ​​and their respective neighbors are determined based on the neighbors' key scores and the spatial relationship of the neighbors to the candidate values. The online system selects the candidate values ​​and their respective neighbors as values ​​and keys for the field based on the neighbor scores.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for implementing content-aware filters to autonomously remove scan marks from digital documents. In particular implementations, the disclosed systems utilize a set of targeted scan mark models in a scan mark removal pipeline. For example, each scan mark model includes a corresponding content-aware filter configured to identify document regions that match a designated class of scan marks to filter. Examples of scan mark models include staple scan mark models, punch hole scan mark models, and page turn scan mark models. In certain embodiments, the disclosed systems then use the scan mark models to generate mark-specific masks based on document input features. Additionally, in some embodiments, the disclosed systems combine the mark-specific masks into a final segmentation mask and apply the final segmentation mask to the digital document for correcting the identified regions with scan marks.

System and methods for validating and confirming the integrity of documents and for validating identity related to the documents based on artificial intelligence and / or blockchain systems. In embodiments, a system implements validation controls to validate and / or confirm the integrity of documents to safeguard against document tampering, ensuring the integrity of the document remains intact throughout the signing process and afterwards. In addition, in embodiments, a system with enhanced functionality implements advanced verification and / or validation mechanisms to ensure the identity of the signatory parties of a document accurately reflects the authorized individual(s). The advantageous result of a system implemented in accordance with the present disclosure is a system that is able to address the critical gaps of current existing digital signature systems and in doing so, the present disclosure enables a system to significantly bolster the security, reliability, and trustworthiness of digital document signing and management.

A system for semantic parsing of an input digital document using visual and textual features is provided. The system includes a user interface, a document layout classification module, a semantic recovery module, and a text structuring module. The user interface enables users to upload the input digital document. The document layout classification module processes the document to categorize its elements based on page images and textual data, outputting layout information with tags and locations. The semantic recovery module uses this layout information to derive content, including tables, lists, and charts, and generates a hierarchical structure. The text structuring module organizes tokens based on the layout tags, groups text into sections by topic relevance, and handles page boundaries, producing another hierarchical structure.

An automated process can extract field data from a digital file comprising at least one digital document associated with at least one document type based at least in part on information associated with the at least one digital document or a user input. The automated process can include determining, from a configuration file, the one or more fields associated with the document type and extracting the field data from the at least one digital document. The determination can include using the document type to identify the one or more fields associated with the document type from the configuration file. The extracted field data can be stored and accessible to client devices.

A system and method iteratively update a determined structure of a digital document file to remediate disconnected text in blocks of the determined structure. In embodiments, a method includes determining a structure of a digital document file using a document understanding analysis, the structure including blocks of elements having text information; determining for each of the blocks of the digital document file whether text information in the block is disconnected; determining an order of the blocks in the digital document file; pairing two blocks from a list of blocks with disconnected text information to form a block pair, wherein the two blocks are ordered based on the determined order of the blocks; determining that the text information of the block pair forms a complete sentence using natural language processing; and consolidating the block pair to form a new block.

Circuit for processing the content of a digital document, whereby the circuit is set up for: Receiving (11) configuration data for the content preparation of a digital document, wherein the configuration data indicates a processing chain with processing modules from a predefined set of processing modules for the content preparation of a digital document; Generating (12) a processing chain according to the configuration data; Receiving (16) a digital document; and Applying (18) the processing chain to the digital document to prepare the digital document.

A computer implemented method, system, and non-transitory computer-readable device for a digital document verification process. In some embodiments, a split deposit tool may be provided in a mobile banking application to allow a customer to split a deposit and schedule deposit dates for various portions of the split deposit. In some embodiments, the split deposit tool may be provided in response to a determination that an amount of a check in an image exceeds a remaining remote deposit limit. In some embodiments, the amount may be determined using realtime optical character recognition (OCR), for example, active OCR performed on a live stream of check imagery.