> ## Documentation Index
> Fetch the complete documentation index at: https://developer.box.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Extract APIs overview and use cases
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Data extraction can be challenging because source content varies widely with different layouts, templates, and file types. The Box Extract API provides two AI-powered endpoints: structured extraction and freeform extraction that standardize how you extract metadata from files in Box. With these endpoints, you can:
* Extract specific fields into a consistent schema or Box metadata template (structured extraction).
* Use enhanced extraction for more complex use cases and improved accuracy powered by advanced AI models (structured extraction).
* Extract content when the target fields are not known ahead of time (freeform extraction).
* Run extractions without building your own orchestration, permission checks, or throttling logic around the extraction workflow.
* Extract data from documents in various languages, file formats, scanned documents, or photos.
To explore the possibilities of these endpoints, discover the following use cases in various industries:
**Recommended endpoint:** structured metadata extraction (`POST /2.0/ai/extract_structured`)
Ideal for high-volume, standardized documents where you need predictable data types:
* **Automated data entry:** Structured metadata extraction ensures consistent JSON response every time thanks to a preconfigured metadata template.
* **Invoices and purchase orders:** Extract line items, totals, and dates.
* **Client contracts:** Parse standardized fields like "Effective Date" or "Total Contract Value" to update CRM records.
**Recommended endpoint:** freeform metadata extraction (`POST /2.0/ai/extract`)
Ideal for queries where document structure is not known ahead of time or varies:
* **HR onboarding:** Extract key personal details from diverse offer letters or candidate resumes.
* **NDA clauses:** Extract specific NDA clauses from legal documents.
Use advanced features like Optical Character Recognition (OCR) and enhanced extraction agent for regulated sectors:
* **Know Your Customer (KYC) documents:** Verify user’s identity by extracting text from scanned passports or driver's licenses.
* **Loan origination:** Automate income verification by pulling data from scanned utility bills or pay stubs.
* **Clinical Trial Enrollment:** Extract patient criteria from medical forms to match candidates with trials.
* **Regulatory submissions:** Organize and validate the data required for submissions such as FDA or EMA.
* **Permit applications:** Accelerate zoning approvals by validating required documentation.
* **Public records requests:** Automatically classify and prioritize documents for public requests such as Freedom of Information Act (FOIA).
## Core benefits of using the Box Extract API
* **Managed scaling:** The Box Extract API is designed to handle queues and rate limits, so you can run high-volume processing.
* **No defensive code:** The Box Extract API is model-agnostic, which enables switching between supported LLMs with minimal code changes and minimizing vendor lock-in.
* **Security and compliance:** All extracted data inherits the enterprise-grade security and governance policies of the Box platform.
## Next steps
Get started with the Box Extract API with practical example-led quick starts guides, API reference pages, and extensive developer guides: