45 results about "DigiDoc" patented technology

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.

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.

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.

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.

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.

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.

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.

Various embodiments include network computing devices and methods for managing digital document authentication. A processor of a network computing device may generate a hash value of a digital document, generate a token including the generated hash value, configure the digital document to include the token wherein the presence of the token is obfuscated, and send to a second computing device the digital document comprising the included token. The processor may receive a request to authenticate the digital document including the token, extract the token from the digital document, generate a second hash value of the digital document, and generate a message indicating that the digital document is authenticated in response to determining that the second hash value matches the hash value included in the token.

A method includes obtaining descriptive information for a first machine learning project, identifying, based on the descriptive information, a plurality of past machine learning projects which are similar to the first machine learning project, retrieving digital documents that describe the bias evaluation pipelines that were used to evaluate the plurality of past machine learning projects, detecting a common bias evaluation pipeline step among at least a subset of the digital documents, extracting, from the subset, a snippet of machine-executable code that corresponds to the common bias evaluation pipeline step, modifying the snippet of machine-executable code with use case data that is specific to the first machine learning project to generate modified machine-executable code, and generating a proposed bias evaluation pipeline for evaluating the first machine learning project, wherein the proposed bias evaluation pipeline includes the modified machine-executable code.

A system for converting digital documents into American Disabilities Act (ADA) Web Content Accessibility Guidelines (WCAG) compliant content includes a content upload system capable of receiving a digital document. An optical character recognition program converts the digital document to a plain text document. A language module structurally organizes the plain text document while maintaining the content of the digital document. A hypertext markup language (HTML) module builds an HTML based document having a structure that is WCAG compliant.

Systems and methods for generating digital documents with embedded security features are provided. Methods may include receiving a first dataset comprising content data that was manually inputted by a system user, receiving a second dataset comprising an identifier associated with the system user, receiving a third dataset comprising a location associated with the system user, and cryptographically embedding, via a machine-learning (ML) module, the second and the third datasets into the first dataset to create a fourth dataset. In the fourth dataset, the first dataset may be visible to a human viewer while the second and the third datasets are invisible, and the second and third datasets may be extractable by a trusted system in possession of a cryptographic key. Methods may include generating an output document displaying the fourth dataset.

The present invention relates to a secure artificial intelligence based document management and intelligent content classification system implemented within a controlled enterprise computing environment for regulated industries. The system is configured to receive digital documents from multiple enterprise sources, normalize heterogeneous document formats into a standardized internal representation, and perform multi-dimensional content analysis to extract structural, semantic, and metadata characteristics. Adaptive artificial intelligence based classification logic is applied to determine document category, sensitivity, and regulatory relevance, followed by computational validation procedures that ensure deterministic and auditable classification outcomes. The invention further incorporates document content fingerprinting, continuous integrity monitoring, and real-time regulatory compliance evaluation to prevent unauthorized modification, misclassification, or non-compliant document handling.

Techniques described herein relate to a method for performing preprocessing of documents for data extraction. The method includes obtaining a document preprocessing request; in response to obtaining a document preprocessing request: obtaining a document associated with the document preprocessing request; performing data preparation on the document to generate an updated document; generating a document type prediction using the updated document and a document type prediction model; identifying a data extraction service of a plurality of data extraction services associated with the document type prediction; and initiating further processing of the document to perform data extraction using the identified data extraction service.

The present invention relates to the technical field of the validation and the authentication of a digital data, such as, for example, a digital document. Particularly, the invention relates to the technical field of the validation of a digital content of a digital message, such as an operation certified by an entity allowing a controller to execute said operation.

The disclosure relates to a device and method for updating a digital document. The method comprises: displaying an initial content comprising strokes classified and segmented into initial blocks; defining an update zone (UZ) around a detected handwriting input interaction (IN); defining a context zone comprising the update zone (UZ) and strokes related with the strokes of the update zone; defining an extended zone (EZ) including the context zone and initial blocks intersecting with the update zone; selecting all the strokes at least partially included into the extended zone (EZ); reclassifying the selected strokes of the extended zone; re-segmenting the reclassified strokes of the extended zone; retrieving the re-segmented strokes of the update zone; retrieving the classified and segmented strokes of the initial content; and overwriting the classified and segmented strokes of the update zone with the re-segmented strokes of the update zone to generate updated content (MC).

A method may include receiving a first set of information relating to a childfree individual; generating a digital document based on the first set of information; storing the digital document in a database; periodically communicating a notification to a device of the childfree individual; receiving a second set of information in response to the notification; modifying the digital document based on the second set of information; and updating the database with an updated digital document. In this way, the method enables trustee, executor, and power of attorney services for childfree people regardless of location.

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.

Embodiments are disclosed for context retrieval for document question answering. The method may include obtaining a plurality of digital documents and dividing the plurality of digital documents into a plurality of document chunks. A similarity between each of the plurality of document chunks is determined. A multi-document graph is constructed based on the similarity between each of the plurality of document chunks. The multi-document graph includes a plurality of nodes representing the plurality of document chunks.

Described herein are systems and techniques for generating a digital document from an original document. In some embodiments, such techniques may involve receiving the original document associated with a user, identifying one or more object categories within the original document, wherein the object categories are grouped based on items depicted in the original document, extracting one or more data values associated with the items depicted in the original document from the one or more object categories, generating document data as a digital version of the original document based on the one or more data values associated with the items depicted in the original document, and presenting the document data to at least one user device.

The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.

A system or method of just-in-time conversion of non-interoperable digital documents from a first secure standard (such as ISO) to a second secure standard (such as Verifiable Credentials) includes a wallet and issuer of the first secure standard, a verifier and a just-in-time issuer and converter of the second standard, where the wallet performs the functions of making a service request of the verifier, sending a proposed presentation to the verifier, generating a token and consented attributes with the just-in-time issuer and converter which forwards the token to the issuer and securely builds a presentation request for the second secure standard, receiving the presentation request from the just-in-time issuer and converter, forwarding the presentation request to the verifier, and presenting information about a converted presentation of a digital document of the second secure standard in the wallet of the first secure standard.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for training a large language model to generate coherent extractive summaries. In some embodiments, the disclosed systems generate an initial extractive summary of a digital document utilizing a large language model. In some embodiments, the disclosed systems generate a feedback set including a set of annotations indicating corrections to the initial extractive summary relative to one or more coherent summaries of the digital document and a set of quality scores for the initial extractive summary. In some embodiments, the disclosed systems adjust parameters of the large language model to reduce differences between the initial extractive summary and the one or more coherent summaries based on the feedback set.

A user device transmits a digital representation of a document or contract to a document or contract validation system through one or more channels. The document or contract validation system validates the document or contract before submitting the document or contract to a transaction system as a valid transaction. The digital representation of the document or contract may include one or more sets of parameters that are useful in the validation process.

Systems and methods for providing digital platform supply chain solutions for an integrated supply chain automation platform by transforming official, standard physical documentation into official, standard digital documentation. The systems and methods may include an integrated supply chain automation platform. The systems and methods may include an artificial intelligence / machine learning (“AI / ML”) processor. The AI / ML processor may be operable to parse uploaded documents, output matched documents, and identify discrepancies within the platform. The systems and methods may include a network of applications. The network of applications may be contained in a hybrid cloud environment. The systems and methods may include a middleware engine. The middleware engine may be operable to connect, within the hybrid cloud environment: the platform, the AI / ML processor, and the network of applications.

This application discloses a method, apparatus, electronic device, and storage medium for the traceability and protection of digital documents. The method and apparatus are applied to an electronic device and specifically involve: extracting characters from a digital document to be encrypted and distributed to obtain document characters; performing encrypted conversion on the document characters to obtain a layout document, the layout document including conversion relationships; saving the layout document; returning user information based on the processing of user scripts; and processing the layout document according to the conversion relationships to obtain a new font library containing traceability information. Users can encrypt the digital document to be distributed based on the new font library. The processed content can be converted into other characters, and only the new font library can convert it into the actual content, thus effectively protecting the content of the digital document. Because it contains extractable traceability information, the corresponding digital document can be effectively traced and protected.