Turn customer receipts and invoices into clean, schema-ready JSON via LlamaParse, so spend, VAT, and vendor data lands in your database without building brittle OCR cleanup code. Use Auto Mode to keep costs predictable by routing simple receipts through fast parsing and escalating only the messy scans that would otherwise break your pipeline.

Extract itemized receipts, discounts, and tender types with layout-aware table extraction, even when formats vary across stores, POS systems, and countries. Reconcile store expenses and supplier charges faster by preserving line-item structure and reading order instead of shipping teams a scrambled text blob to manually fix.

Standardize thousands of client receipts into consistent outputs like Markdown or JSON, then push categorized transactions into your GL or expense platform with traceable fields and citations for audit review. Natural-language parsing instructions let you enforce firm-specific rules (e.g., “always capture tax, tip, and project code”) without maintaining per-vendor templates.

Convert claimant receipts and proof-of-purchase into verifiable, line-level data to validate amounts, dates, and item descriptions without slowing adjusters down. Granular metadata and confidence scores make exceptions obvious, enabling fast straight-through processing for clean claims while flagging only the questionable documents for human review.