Solutions
Document parsing by type
Choose a document type to see how AutoDocParse extracts structured fields, routes low-confidence data to review, and delivers JSON, CSV, or API output.
Bank & Credit Card Statements
Extract transactions, balances, and account details from bank and credit card statements. Automate reconciliation with confidence scoring and review queues.
Learn more →Invoices & Accounts Payable
Automate invoice data extraction for AP teams. Capture vendor, line items, tax, and totals with confidence scores, PO matching, and ERP-ready exports.
Learn more →Purchase & Sales Orders
Extract PO and sales order data from PDFs — line items, ship-to addresses, quantities, and pricing — ready for your OMS or ERP.
Learn more →Shipping & Delivery Notes
Extract consignee, carrier, tracking, and cargo details from bills of lading, packing lists, and delivery notes at scale.
Learn more →Contracts & NDAs
Pull key terms, parties, dates, and obligations from contracts and NDAs. Structure legal documents for CLM and compliance workflows.
Learn more →Resumes & Applications
Extract candidate name, contact info, skills, and work history from resumes and job applications into your ATS or HRIS.
Learn more →Utility Statements
Extract usage, charges, and account details from electricity, gas, water, and telecom utility statements for property and facilities teams.
Learn more →PDF Forms
Extract checkbox, radio, and text field responses from PDF forms. Turn completed forms into structured records for operations teams.
Learn more →Word Documents
Extract structured data from Word (.docx) business documents — contracts, forms, and reports — with AI parsing and review workflows.
Learn more →Other Documents
Build custom parsers for any business document type. AutoDocParse handles unique layouts with schema builder, confidence scores, and review queues.
Learn more →
Document parsing solutions by document type
Every business document has a different structure — invoices have vendor and line items, bank statements have transactions, contracts have parties and dates. AutoDocParse solution pages explain how we extract structured data for each document type, which fields are included, and how review and export fit your workflow.
Browse solutions for accounts payable (invoices, receipts), procurement (purchase and sales orders), logistics (shipping and delivery notes), legal (contracts and NDAs), HR (resumes and applications), banking (statements), and general PDF or Word documents. Each page links to a matching parser template you can deploy in one click.
All document types share the same production pipeline: upload, AI extraction with confidence scores, human review for exceptions, and delivery via API, webhook, or spreadsheet export.
- Invoices and accounts payable — vendor, totals, tax, line items
- Purchase and sales orders — PO numbers, quantities, ship-to
- Shipping and delivery notes — carrier, tracking, received quantities
- Contracts and NDAs — parties, effective dates, key terms
- Bank statements and utility bills — transactions, balances, due dates
Frequently asked questions
Which document types does AutoDocParse support?+
Invoices, receipts, purchase orders, packing slips, delivery notes, bills of lading, bank statements, utility bills, contracts, NDAs, resumes, tax forms, and more. Use a pre-built template or define a custom schema.
Can one parser handle multiple document layouts?+
Yes. AI extraction adapts to layout variations within a document type. Low-confidence fields route to review. You can also create multiple parsers for different vendors or formats.
How do I get started with a specific document type?+
Pick a document type below, review the recommended fields, then create a parser from the linked template. Upload a sample PDF to see extraction results immediately.
Do all document types support the API?+
Yes. Every parser — regardless of document type — is accessible via the REST API with the same upload, poll, and webhook patterns.