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Kodexa Models

This page provides an index of all available Kodexa models with links to their detailed documentation.

• Add/Remove Label - Add or remove a label from a document
• Apply Kodexa Status - A model that applies a Kodexa document status based on configuration
• AWS Textract - Extracts data from forms and tables using OCR and machine learning
• AWS Textract V2 - Extracts data from forms and tables using OCR and machine learning
• AWS Textract V3 - Extracts data from forms and tables using OCR and machine learning
• Azure Bulk Publisher V2 - A model that allow you to publish to Azure Blob Storage
• Azure Document Analysis - Provides underlying document analysis for Document in Azure
• Azure Form Recognizer - Applies advanced machine learning to accurately extract from forms and tables in documents
• Azure General Document - Applies advanced machine learning to accurately extract from a variety of document types
• Azure Invoice Recognizer - Applies advanced machine learning to accurately extract from forms and tables in documents
• Azure Read API - Provides the ability for optical character recognition upon documents
• Azure Receipt Recognizer - Applies advanced machine learning to accurately extract from receipts
• Basic Task Creator - A model that allows you to create a task for the document family
• Copy External Data Model - Copies the external data to a new key
• Document Preprocessor Model - Preprocesses the document by splitting, rotating, deskewing and classifying and more
• Document Retry - A model that runs on scheduled events to determine if a document should be retried.
• Document Timeout - A model that runs on scheduled events to determine if a document has timed out.
• Excel Parser - Creates a Kodexa Document from the Excel file
• External Data Document Classifier Model - Classifies the document using external data
• External Data Document Page Tagger Model - Model to tag each page of a document using external data
• Kodexa Additional Data Review - Leverages the Kodexa Data Definition and data extracted from the document to find additional data not extracted by the LLM. It is saved to external data.
• Kodexa Large Language Models - A model with utilities to support large language models
• Kodexa Large Language Models - A model with utilities to support large language models
• Kodexa LLM Data Labeling - Leverages the Kodexa Data Definition and builds prompts for labeling with Large Language Models
• Kodexa LLM Guidance Builder - If you have a document marked as guidance this model will build and store the guidance
• Kodexa Rules Engine - A model with utilities to support rules engines
• Label to Status - A simple model that converts a label to a document status based on configuration
• Layout Analysis - A layout analysis model that can be used to analyze the visual layout of documents to improve the structure of the document for AI.
• LLM Document Classifier Model - Classifies the document using an LLM
• LLM Embeddings Model - Generates an embedding for each page of the given document
• Metadata to Label - A simple model that looks for metadata on the document, and then converts it to a label
• PDF to KDDB Model - Creates a Kodexa Document from the given PDF
• Quality Gate Model - Checks the quality of the document
• REST Publisher - A model that allow you to publish document family metadata to a REST API
• Splitter Rotator Classifier Model - Splits, rotates and classifies the document
• Synchronize External Status - A model that allows you to synchronize the status of a document with a status in an via an external API
• Task Event Processor - A model that allows you to process task events
• TIF to PDF Model - Creates a PDF from the given TIF
• Update External Status - A model that allows you to update the status of a document via an external API
• Upload Document - Upload document into document family