Agentic data extraction for smart process automation

Unlock critical data within your content

Box Extract incorporates the latest extraction technology to identify and retrieve structured data from your unstructured content at scale from documents and spreadsheets to images, video, and more. Automate complex document processing with AI-powered extraction agents and accelerate workflows with accuracy and confidence.

Leap ahead with agentic data extraction

Powered by the latest AI agents and LLMs, Box Extract intelligently delivers relevant data without the need for custom model development or additional training. Utilize multiple data science techniques, including chain-of-thought prompting, AI graders, integrated OCR, and extraction-specific Retrieval-Augmented Generation (RAG).

Extract with confidence and deploy at scale

Choose the Standard Extract Agent to quickly extract basic fields such as names, dates and amounts from short, standard documents. Leverage the Enhanced Extract Agent to handle complex fields like risky clauses and non-standard items in longer documents with complicated tables, graphs, and more. Two choices with a world of possibilities.

Simplify data extraction across your enterprise

Extract data from complex documents — from detailed lease agreements and utility bills to bank statements and handwritten bills of lading. Easily set confidence thresholds to flag fields for review and tailor AI prompts to ensure reliable, consistent data extraction. Box Extract is simple to set up, easy to deploy, and convenient to manage, test, and track.

AI-powered extraction APIs

Automate and scale accurate data extraction across your technology stack with the Box Extract APIs. From flexible processing of unstructured data to schema-based extraction, our APIs help ensure consistency and accuracy.

Power intelligent workflows with metadata

Leverage extracted data to drive custom dashboards and metadata views built with Box Apps; or seamlessly drive workflows with Box Automate, using metadata to route tasks, generate documents, and more. Process data within Box or in external systems like Salesforce, Snowflake, Openflow, Databricks, and more to streamline workflows.

Enterprise-grade security, compliance, and governance

Enjoy all the benefits of data extraction right where all your content lives - on Box. And rest assured that your content and metadata is on a secure, compliant, and AI-native content platform that scales with your business - across billions of files. Drive faster decision-making and efficient collaboration by leveraging metadata that provides timely business context.

How Box Extract works

Transform your content-driven business processes with a secure, end-to-end extraction pipeline that turns documents into structured insights. Box Extract delivers high quality data by combining state of the art models with advanced data science techniques and agentic approaches to iteratively improve accuracy. This highly accurate, enriched metadata powers dashboards in Box Apps, accelerates workflows in Box Relay, seamlessly integrates with external applications like Salesforce and Snowflake, and connects to external agent ecosystems - unlocking a whole new level of business process automation across enterprises.

Learn how customers leverage AI-powered data extraction with Box

Increased data extraction speeds by 5X and accelerated quote processing times from two weeks to five minutes with Box Extract

Achieved 98% accuracy by extracting key information from COIs and validating coverage requirements with Box Extract

Saved 800+ hours on manual travel processes with custom AI extract agents and automation

Built a secure, AI-powered integration with Salesforce to accelerate underwriting and streamline external collaboration, saving over 30 hours per week.

Increased reimbursements by up to 4X and boosted reimbursements for 11.8 million patients annually using Box Extract on 300M documents per year.

Extracted 240,000+ data points annually and cut manual processing time by up to 48 hours with Box Extract.

Key features

Standard Extract Agent

Extract key data from content using OCR and support for basic data types like text, dates, numbers, and small taxonomies for high-volume tasks.

Enhanced Extract Agent

Leverage powerful models with chain-of-thought reasoning and advanced techniques to extract structured data with higher accuracy from complex documents.

Custom Extract Agents

Customize and manage extraction configurations, including template selection, metadata fields, extraction rules, and AI prompts and instructions.

AI-generated metadata templates

Use AI to generate metadata templates from sample documents with suggested fields and extraction instructions.

Field-level AI prompts

Ensure precise and accurate results with AI-powered field instructions and prompts.

Validate and review with confidence

Review extracted data using confidence scores and bounding boxes for faster validation.

Automatic data extraction

Apply Custom Extract Agents to parent folders and automatically extract metadata from new and existing files across nested subfolders at scale.

Metadata taxonomies

Map extracted metadata to hierarchical enterprise taxonomies for consistent classification and governance.

Extract agent APIs

Extend the power of agentic data extraction to third party and custom applications via APIs.

FAQ

What is Box Extract?

Box Extract is the collection of all capabilities Box offers via UI and APIs to accurately extract information from content and save it as metadata in Box or export that data to third party systems or custom apps. It combines Box AI Extract Agents with advanced techniques, including advanced OCR, metadata taxonomies, and more to automatically and accurately extract information from content in Box at scale and apply it as metadata.

What is intelligent document processing, and how is it different from traditional OCR?

Traditional OCR converts scanned images into machine-readable text, but it does not understand what the content means. Intelligent document processing goes further by using AI to interpret the document, extract specific fields, and structure that information so it can be used immediately in workflows and downstream systems. In practice, that means an OCR tool might return a wall of text from a contract, while intelligent document processing can identify and extract the counterparty name, effective date, renewal clause, and expiration date as structured data.

What’s the difference between intelligent document processing tools (IDP) and data extraction in Box?

Traditional IDP tools are often template or rule‑based and built for high‑volume structured or semi‑structured forms. Box Extract is AI-powered, template‑flexible, and cloud‑native, designed for highly unstructured and variable documents. IDP tools are typically standalone solutions that do not store content and require extra integration for content management. Box Extract applies structured data as metadata natively to content in Box, helping organizations automate business processes and downstream workflows, accelerate content discovery, and drive efficient decision making.