The Challenge
Finance teams spend countless hours manually entering and validating invoice data. Invoices come in multiple formats such as PDFs, scans, images, or Excel sheets, each with varied layouts from different suppliers. Manual entry is slow, error-prone, and creates downstream issues in payment cycles, vendor reconciliation, and compliance reporting. This delays month-end closing and ties up valuable staff in repetitive wo
The Solution with SIA
SIA’s Field Extraction Agent converts unstructured invoices into structured, system-ready data. It captures key fields like invoice number, line items, GST or VAT, payment terms, and totals, even across varied formats. Unlike rigid template-based OCR tools, SIA adapts to new layouts without pre-configuration. Teams can validate exceptions quickly, export the results to Excel or CSV, or connect to ERP on customization basis.
Impact You Can Measure
- Faster invoice-to-payment cycles
- Reduction in manual errors and rework
- Lower processing costs per invoice
- More accurate vendor reconciliation and compliance reporting
Real-World Example
In the FMCG sector, where companies process thousands of supplier invoices each month, automating invoice field extraction reduces manual workload and accelerates payment processing. Finance teams are freed from repetitive entry and can focus on analysis and vendor relationships.
FAQs
Yes. Scanned images and PDFs can be converted to structured data. SIA picks value pairs that user desires to extract.
No. Unlike template-driven OCR, SIA learns from varied layouts and can extract fields across different formats without fixed schemas.
Invoice number, date, vendor details, line items, quantities, tax details, payment terms, and totals are commonly extracted. Custom fields can also be added.
No. You can begin by exporting extracted data as Excel or CSV and uploading it manually. Integration can be added later if desired.