Intelligent document processing (IDP)
Use intelligent document processing (IDP) to integrate automated document processing into your end-to-end processes.
About IDP
IDP uses artificial intelligence (AI) and machine learning (ML) to identify, extract, and organize data from your structured and unstructured documents into a structured format you can use in your processes.
For example, use IDP to extract and use data from invoices and other document types in your document processing workflow.
Configure IDP
Configure IDP for your Camunda 8 setup with access to the required components and credentials.
Configure IDP
Configure IDP for your Camunda 8 setup with access to the required components and credentials.
Prerequisites
Check prerequisites required for IDP such as AWS IAM user permissions and Amazon S3 bucket access.
Example IDP deployment
Deploy and run Camunda 8 IDP in a local development environment using Camunda 8 Run or Docker.
Get started with IDP
Once initial configuration is complete, get started with IDP.
IDP applications
Start by creating an IDP application in which to store and manage your IDP document extraction templates.
Document extraction
Publish a document extraction template for each type of document you want to extract data from.
IDP integration
Integrate your published document extraction templates into your end-to-end processes.
IDP concepts
Learn about key IDP concepts and terms, such as the difference between structured and unstructured documents, document classification, and how IDP uses LLM Foundation models.
- Structured and unstructured documents
- Document classification
- Extraction model/Large Language Models (LLM)
- Extraction fields
IDP reference
Technical IDP reference information, including technical architecture and document storage, supported documents and types, and extraction models.