Goods & Services

Providing downloadable software for automating office, business and administrative processes and procedures; providing downloadable software for the transcription of text through the use of machine learning and natural language processing; providing downloadable software for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing. Providing an online, non-downloadable software infrastructure platform for automating office, business and administrative processes and procedures; providing an online, non-downloadable software infrastructure platform for transcription of text through the use of machine learning and natural language processing; providing an online, non-downloadable software infrastructure platform for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing; technological consultancy and providing information relating to computer technology and programming relating to the management, reporting, organization, validation, and quality assurance of data in the field of artificial intelligence (AI) software customization; technological consultancy and providing information relating to computer technology and programming for training large language models in the field of artificial intelligence.

Abstract

A method for annotating documents. When a new document is received from an external device, the new document is analyzed to determine a group of documents that the new document is most similar to. Once the group of documents is determined on or more trained machined learning models that have been trained on previous documents associated with the group of documents are retrieved and used to analyze the new document. Based on the analysis the one or more trained machine learning models produce one or more annotation suggestions and present these to a user; the user may then provide one or more corrections, which are then used along with one or more validated annotation suggestions to annotate the new document as well as update the one or more trained machine learning models.

IPC Classes  ?

• G06F 40/169 - Annotation, e.g. comment data or footnotes
• G06F 16/93 - Document management systems
• G06N 3/045 - Combinations of networks
• G06N 3/08 - Learning methods

Goods & Services

(1) Providing downloadable software for automating office, business and administrative processes and procedures; providing downloadable software for the transcription of text through the use of machine learning and natural language processing; providing downloadable software for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing. (1) Providing an online, non-downloadable software infrastructure platform for automating office, business and administrative processes and procedures; providing an online, non-downloadable software infrastructure platform for transcription of text through the use of machine learning and natural language processing; providing an online, non-downloadable software infrastructure platform for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing; technological consultancy and providing information relating to computer technology and programming relating to the management, reporting, organization, validation, and quality assurance of data in the field of artificial intelligence (AI) software customization; technological consultancy and providing information relating to computer technology and programming for training large language models in the field of artificial intelligence.

Goods & Services

Downloadable software for automating office, business and administrative processes and procedures; downloadable software for the transcription of text through the use of machine learning and natural language processing; downloadable software for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing (Based on Use in Commerce) Providing an online, non-downloadable software infrastructure platform for automating office, business and administrative processes and procedures; Providing an online, non-downloadable software infrastructure platform for transcription of text through the use of machine learning and natural language processing; Providing an online, non-downloadable software infrastructure platform for extracting data and transcription of text from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing; (Based on Intent To Use) Technical consulting and information services in the field of artificial intelligence (AI) software customization relating to the management, reporting, organization, validation, and quality assurance of data; Consulting and information services in the field of computer programing for training artificial intelligence large language models; Data automation and collection service using proprietary software for the collection, processing, and organization of large language model data in the field of artificial intelligence; Computer programming for the purpose of training large language models in the field of artificial intelligence.

Abstract

A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score.

IPC Classes  ?

• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06F 40/151 - Transformation
• G06N 3/08 - Learning methods
• G06N 5/01 - Dynamic search techniquesHeuristicsDynamic treesBranch-and-bound
• G06N 20/20 - Ensemble learning
• G06V 30/19 - Recognition using electronic means
• G06V 30/40 - Document-oriented image-based pattern recognition

Goods & Services

Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures; software as a service (SAAS) services featuring software featuring natural language processing, image recognition and machine learning functionality; software as a service (SAAS) services featuring computer vision, machine learning, and natural language processing software for document processing, namely, extracting data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction.

Goods & Services

Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures; software as a service (SAAS) services featuring software featuring natural language processing, image recognition and machine learning functionality; software as a service (SAAS) services featuring computer vision, machine learning, and natural language processing software for document processing, namely, extracting data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction.

Goods & Services

(1) Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures namely for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; Software as a service (SAAS) services featuring software featuring natural language processing, image recognition and machine learning functionality for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for converting natural language into machine executable commands, for evaluating customer behaviour in online shops, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; Software as a service (SAAS) services featuring computer vision, machine learning, and natural language processing software for document, text, and image processing, namely, extracting business data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of document, text, and image data extraction

Goods & Services

(1) Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures namely for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; Software as a service (SAAS) services featuring software featuring natural language processing, image recognition and machine learning functionality for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for converting natural language into machine executable commands, for evaluating customer behaviour in online shops, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; Software as a service (SAAS) services featuring computer vision, machine learning, and natural language processing software for document, text, and image processing, namely, extracting business data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of document, text, and image data extraction

Goods & Services

Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures; Software as a service (SAAS) services featuring software for natural language processing, image recognition, and machine learning; Software as a service (SAAS) services featuring software for extracting data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing

Goods & Services

Software as a service (SAAS) services featuring software for automating office, business and administrative processes and procedures; Software as a service (SAAS) services featuring software for natural language processing, image recognition, and machine learning; Software as a service (SAAS) services featuring software for extracting data from images and scanned documents and identifying, collecting, and learning from human input to ensure accuracy of data extraction through the use of machine learning and natural language processing

Abstract

In some embodiments, a method includes training a first machine learning model based on multiple documents and multiple templates associated with the multiple documents. The method further includes executing the first machine learning model to generate multiple relevancy masks, the multiple relevancy masks to remove a visual structure of the multiple templates from a visual structure of the multiple documents. The method further includes generating multiple multichannel field images to include the multiple relevancy masks and at least one of the multiple documents or the multiple templates. The method further includes training a second machine learning model based on the multiple multichannel field images and multiple non-native texts associated with the multiple documents. The method further includes executing the second machine learning model to generate multiple non-native texts from the multiple multichannel field images.

IPC Classes  ?

• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods
• G06V 10/40 - Extraction of image or video features
• G06V 30/10 - Character recognition

Abstract

A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score.

IPC Classes  ?

• G06N 20/20 - Ensemble learning
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06F 40/151 - Transformation
• G06N 3/08 - Learning methods
• G06N 5/01 - Dynamic search techniquesHeuristicsDynamic treesBranch-and-bound
• G06V 30/19 - Recognition using electronic means
• G06V 30/40 - Document-oriented image-based pattern recognition
• G06V 30/10 - Character recognition

Abstract

A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score.

IPC Classes  ?

• G06N 20/00 - Machine learning
• G06V 30/10 - Character recognition
• G06V 30/40 - Document-oriented image-based pattern recognition

Abstract

A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score.

IPC Classes  ?

• G06N 20/20 - Ensemble learning
• G06F 40/151 - Transformation
• G06N 3/08 - Learning methods
• G06N 5/00 - Computing arrangements using knowledge-based models
• G06V 30/40 - Document-oriented image-based pattern recognition

Abstract

A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score.

IPC Classes  ?

• G06K 9/62 - Methods or arrangements for recognition using electronic means

Abstract

In some embodiments, a method includes training a first machine learning model based on multiple documents and multiple templates associated with the multiple documents. The method further includes executing the first machine learning model to generate multiple relevancy masks, the multiple relevancy masks to remove a visual structure of the multiple templates from a visual structure of the multiple documents. The method further includes generating multiple multichannel field images to include the multiple relevancy masks and at least one of the multiple documents or the multiple templates. The method further includes training a second machine learning model based on the multiple multichannel field images and multiple non-native texts associated with the multiple documents. The method further includes executing the second machine learning model to generate multiple non-native texts from the multiple multichannel field images.

IPC Classes  ?

• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06K 9/46 - Extraction of features or characteristics of the image
• G06N 3/08 - Learning methods

Goods & Services

Automated systems, namely, downloadable software for automating office, business and administrative processes and procedures; software featuring natural language processing, image recognition and machine learning functionality.

Goods & Services

(1) Automated systems, namely downloadable software for automating office, business and administrative processes and procedures, namely for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; software featuring natural language processing, image recognition and machine learning functionality for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for converting natural language into machine executable commands, for evaluating customer behaviour in online shops, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups

Goods & Services

Automated systems, namely, downloadable software for automating office, business and administrative processes and procedures; software featuring natural language processing, image recognition and machine learning functionality

Goods & Services

Automated systems, namely, downloadable software and hardware for automating office, business and administrative processes and procedures; software featuring natural language processing, image recognition and machine learning functionality.

Goods & Services

(1) Automated systems, namely downloadable software for automating office, business and administrative processes and procedures, namely for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups; software featuring natural language processing, image recognition and machine learning functionality for automating document management, document, text, and image processing and extraction, data management and processing, data entry of accounts receivable and account collections and for providing related accounting, word processing and integrated email support, for searching and retrieving information across a computer network, for the analysis of business data and information, for converting natural language into machine executable commands, for evaluating customer behaviour in online shops, for optical character recognition, for converting document images into electronic format, for automating data extraction, collation of data and classification of data from documents, for processing logic and data validation, and for improving automation through database lookups

Goods & Services

Automated systems, namely, downloadable software for automating office, business and administrative processes and procedures; software featuring natural language processing, image recognition and machine learning functionality