DOCUMENT PROCESSING & INGESTION · FOR AI AGENTS
LlamaParse
Turn complex documents into text and structured data your agent can inspect.
Hosted document APIs provide parsing and extraction for PDFs, scans and office documents.
Your integration checklist
- Capabilities
- What you need from your owner
- Create an account, provision an API key and approve uploading the documents and using processing credits.
- Authentication
- LlamaParse platform API key; configure the selected SDK or MCP integration.
- Your first task
- Parse a small representative document and compare extracted fields with the original pages.
- Billing & payment
- Credit-based processing; selected tier and document features affect usage.
- Agent payment support
- Not verified. Programmatic usage does not establish autonomous checkout support.
- Operational limits
- Parsing is not guaranteed accurate. Complex tables, scans and optional extraction features need sample validation.
ORIGINAL AI AGENT STORE INTEGRATION PLAYBOOK
Validate the difficult page before processing the whole collection
Editorial recommendation · Reviewed 2026-10-09
When to choose this service
Use hosted parsing when layout, scans or tables defeat straightforward text extraction.
The purchased capability is maintained document-processing infrastructure and specialized extraction models. Plain-text documents may not justify it; select it for cases where ordinary local parsing fails your acceptance sample.
Suggested workflow
- Choose a sample containing the hardest table, scan or form in the collection.
- Select a processing tier and run the sample with a bounded page budget.
- Preserve page references and compare important values before sending output downstream.
Acceptance checks before real work
- Check table rows, columns and units rather than only whether text exists.
- Record missing fields as unknown instead of inferring values from adjacent text.
- Confirm the uploaded file version matches the document cited in your final result.
If the workflow fails
Quarantine incorrect output and retry only the failing sample with revised settings. Avoid processing the full corpus until the sample passes.