InvoiceDataExtraction

InvoiceDataExtraction is an AI spreadsheet generator tool. An AI document extraction service that turns invoices, bank statements, receipts and payslips into Excel, CSV or JSON. A panel of agents must agree on each value, and anything unresolved is flagged Review Needed with a link to the source page.

InvoiceDataExtraction is a document extraction service built around a simple loop: upload invoices or images, describe in plain language what you want out, and download a spreadsheet. The site positions it for accountants, bookkeepers, accounts payable teams and business owners, and the same engine handles bank statements, receipts, payslips, utility bills, supplier statements and purchase orders. Documents can arrive as PDFs, JPGs or PNGs, including scans and phone photos, in any layout and any language. The differentiator is the reliability model. Rather than trusting a single pass over a page, a panel of AI agents has to agree on every value. Where the panel cannot agree, the row or cell is flagged Review Needed with a note on what to check, and a built-in results viewer opens that page beside the spreadsheet row so a human can compare, confirm or correct. Source File tracking ties every row back to the file and page it came from. A document that fails is reported by name and not charged, which matters when a single PDF can run to 5,000 pages and a batch to 6,000 files. In practice most work starts with a prompt. You can name a list of fields, state the job (a quarterly VAT return, a 1099 prep), or write exact rules about date formats, credit note signs, skipped cover pages and row granularity. A prompt library stores one prompt per client or document type, a structured prompt mode fixes exact column headers and order, and a suggest prompt option writes the prompt from the uploaded files. Output is Excel, CSV or JSON, with numbers as numbers and dates as dates. Alternatives fall into two camps: generic chat assistants that read a page without traceability, and OCR tools that only convert image to text without understanding what an invoice date is versus a due date. This tool sits between them, adding consensus checking and source links to a batch pipeline. It is available on the web, with Node.js and Python SDKs plus a REST API and an MCP server for teams that want extraction inside their own code or agents.