Deep Space (Platform)Nov 21, 2025

AI Invoice Data Extraction for Invoice Reconciliation

What's New We've upgraded our invoice upload experience with powerful AI-driven data extraction that automatically reads and captures invoice information from your invoice - saving you time and reducing manual data entry errors. Save Time on Data Entry No more manual typing! Simply upload your invoice files, and our AI will automatically extract: Invoice number and date Total amounts and tax details Individual line items with descriptions, quantities, and unit prices Payment terms and due dates Support for Multiple File Formats Upload invoices in the format you receive them - no need to convert or merge files first: PDF documents - Standard invoice PDFs Images - Photos or scans Excel spreadsheets - XLSX and XLS files CSV files - Comma-separated data exports XML files - Structured invoice data Multi-File Upload Have an invoice split across multiple files? No problem! Upload multiple files at once: Main invoice PDF + supporting photo documentation Multiple pages scanned as separate images Invoice data in Excel + supporting documents Any combination of supported file types The AI will intelligently process all files together to extract complete invoice information. What Gets Extracted The AI automatically captures these fields when available on your documents: Header Information: Invoice number Invoice date Due date and payment terms Tax amounts (GST, VAT, etc.) Total amount Line Items: Item descriptions/name Quantities Unit prices Line totals Note: The AI only extracts information that's visible on your documents. Internal database fields like company and cost codes will need to be set by your system or manually selected after extraction. Quality Validation Our AI includes built-in quality checks: Document Type Detection - Verifies the uploaded file is actually an invoice Data Validation - Checks that required fields are present Calculation Verification - Ensures line items add up correctly Warning Alerts - Notifies you if something looks unusual

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