From invoices and receipts to bank statements and medical forms—see how teams automate document data extraction across industries.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Extract invoice number, date, vendor name, line items, subtotal, tax, and total from any vendor format. Match against POs automatically for three-way reconciliation.
Capture merchant name, date, amount, tax, and payment method from receipts of any format. Ideal for expense management and reimbursement workflows.
Pull transaction dates, descriptions, amounts, and balances from bank statements regardless of issuing institution. Consolidate multi-bank data for reconciliation.
Process bills of lading, packing slips, delivery receipts, and customs forms. Extract shipment details, weights, quantities, and tracking numbers.
Extract patient data, procedure codes, diagnosis information, and claim details from healthcare documents. HIPAA-compliant processing with BAA available.
Pull key terms, dates, parties, amounts, and renewal clauses from contracts. Useful for legal teams managing large volumes of vendor or client agreements.
AP automation, bank reconciliation, expense processing, and audit preparation. High volume, high format variety, strict accuracy requirements.
Bills of lading, customs declarations, freight invoices, and delivery confirmations. Multiple partners mean dozens of document formats.
Patient intake forms, insurance claims, explanation of benefits, and medical records. Requires HIPAA compliance and careful data handling.
Lease abstractions, maintenance invoices, utility bills, and tenant applications. Portfolio-scale document volumes across many vendors.
Contract review, court filings, client intake documents, and billing records. Structured extraction reduces manual review time.
Distributor invoices, purchase orders, receiving documents, and compliance certifications. High vendor variety with frequent format changes.
Every industry that processes documents at scale faces the same fundamental problem: critical data is locked inside unstructured files. Invoices arrive as PDFs, receipts as phone photos, bank statements as scanned images, and medical forms as faxes. Manually re-keying this information into spreadsheets and databases is slow, expensive, and error-prone—yet most organizations still rely on it because traditional extraction tools demand templates for every document layout.
A layout-agnostic bulk extraction engine changes this equation entirely. Accounting teams consolidate vendor invoices from hundreds of suppliers without configuring a single template. Logistics companies process bills of lading, customs forms, and freight invoices from global partners in one unified workflow. Healthcare organizations extract patient intake data and insurance claims while maintaining HIPAA compliance. The common thread is that AI understands document structure by context, not by rigid coordinate mapping.
Lido’s AI-powered bulk extraction engine is purpose-built for this cross-industry flexibility. Teams upload documents on day one and receive structured output immediately—no training phase, no setup consultations, and no per-format fees. Whether you process fifty documents a month or fifty thousand, the same extraction engine adapts to every layout it encounters.
The industries with the highest adoption of AI data extraction are accounting and finance, logistics and transportation, healthcare, property management, legal services, and food and beverage distribution. These industries share common characteristics: high document volume, format variety across vendors and partners, and regulatory requirements for accurate record-keeping. Lido serves teams across all of these industries with the same layout-agnostic extraction engine.
AP teams typically set up email forwarding so vendor invoices are processed automatically as they arrive. The bulk extraction engine pulls invoice number, date, vendor name, line items, subtotal, tax, and total into a structured spreadsheet. Many teams then use this data for three-way matching against purchase orders and receiving documents. Lido’s AI columns let AP teams define custom fields specific to their workflow, such as GL codes or cost center assignments.
Yes, AI bulk extraction engines process bank statements by identifying transaction dates, descriptions, amounts, and running balances regardless of the bank’s specific format. This is particularly useful for reconciliation workflows where data from multiple banks needs to be consolidated. The same extraction engine handles credit card statements, investment reports, and other financial documents without separate configuration.
Any document with structured or semi-structured data works well with AI extraction. The strongest results come from invoices, purchase orders, receipts, bank statements, bills of lading, packing slips, medical forms, insurance claims, contracts with standard fields, and tax documents. The key factor is whether the document contains identifiable data fields that need to be captured as structured data.
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