Databricks Document Intelligence
AI model · Computer vision · Image → Text by Databricks
Pushing the frontier for complex document extraction and understanding
An AI model for high-performance document extraction that transforms complex, unstructured enterprise documents into structured data for analytics. It is natively integrated into the Databricks platform for use in data engineering and AI workflows.
Model specs
- Provider
- Databricks
- Model family
- Document Intelligence
- Version
- Document Intelligence
- Released
- 2026-08-18
- Input
- Files
Category: Computer Vision
- Access
- Databricks Data + AI Platform, SQL AI Functions
- Released
- 2026-08-18
- Primary Task
- Complex document extraction
- Integration Platform
- Databricks Data + AI Platform
- Access Method
- SQL AI Functions
- Input Formats
- Unstructured documents
- Pushes the frontier for complex document extraction
- Transforms unstructured documents into structured data
- Integrated with Databricks SQL AI Functions
- Designed for high-complexity enterprise layouts
Overview
Databricks Document Intelligence is an AI model designed for high-performance document extraction and understanding within the enterprise. It solves the problem of transforming unstructured documents with complex layouts into structured data ready for analytics and AI applications. The model is natively integrated into the Databricks Data + AI Platform, allowing technical teams to streamline their data engineering pipelines. Users can leverage the model through SQL AI Functions to classify, extract, summarize, and parse documents directly where their data lives. It is specifically engineered to handle the varied and high-complexity document types found in large-scale business environments.
Document Extraction Tasks
- Complex Layout Handling: The model is designed to handle high-complexity layouts and varied document types found in enterprise environments.
- Unstructured to Structured Data: It transforms unstructured documents into structured data suitable for downstream analytics and AI applications.
- High-Performance Extraction: The model pushes the frontier for complex document extraction and understanding within enterprise workflows.
Platform and Workflow Integration
- Platform Integration: Databricks Document Intelligence integrates with the Databricks Data + AI Platform to streamline data engineering pipelines.
- AI Functions Support: It enables the application of AI models to data from SQL to classify, extract, summarize, and parse documents.
Use cases
- Data engineers use the model to automate the transformation of unstructured PDF documents into structured tables for BI reporting.
- Analysts apply AI Functions in SQL to extract specific fields and summarize long enterprise documents at scale.
- AI teams integrate document extraction into agentic workflows to ground AI agents in unstructured business knowledge.
Specifications
- Tasks
- complex document extraction, classification, extraction, summarization, parsing
- Access
- Databricks Data + AI Platform, SQL AI Functions
- Released
- 2026-08-18
- Primary Task
- Complex document extraction
- Integration Platform
- Databricks Data + AI Platform
- Access Method
- SQL AI Functions
- Input Formats
- Unstructured documents
- Output Formats
- Structured data
FAQ
What is Databricks Document Intelligence?
It is an AI model designed for high-performance document extraction and understanding, specifically focused on transforming complex, unstructured documents into structured data.
How do I access Document Intelligence?
The model is integrated into the Databricks Data + AI Platform, allowing users to apply it via SQL AI Functions to classify, extract, and parse documents.
What types of documents can it handle?
It is built to handle high-complexity layouts and varied document types commonly found in enterprise environments that traditional OCR might struggle with.
Added by AntSpace from public sources (databricks.com).