Turn PDF invoices into a clean CSV your systems can import. The AI reads the invoice number, dates, vendor, line items, tax, and totals from any layout and writes them to a flat, UTF-8 CSV that loads straight into QuickBooks, Xero, NetSuite, a database, or a custom import.
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Accounting systems and databases import structured rows, not documents. A PDF carries no delimiters, no header row, and no consistent columns, so it cannot map to an import template until something extracts the data first.
A CSV import needs commas, a header row, and one field per column. A PDF has none of that, so the importer has nothing to parse.
QuickBooks, NetSuite, and most ERPs reject a file unless the columns match their template. Hand-built CSVs fail on a single misnamed header.
A flat import usually wants one row per line item with the invoice number repeated. Flattening a multi-line invoice by hand is slow and easy to botch.
Stray currency symbols, commas in amounts, and non-UTF-8 characters cause silent import errors that are painful to trace.
An image-only scan or photo has no text layer to convert, so there is nothing for a basic exporter to turn into CSV.
Converting one invoice is a chore. Mapping hundreds into a clean import file every month is a recurring cost in staff hours.
Upload your invoices and the AI returns a flat CSV with consistent columns, ready to map to your import template. No rules, no manual flattening.
A header row plus one field per column, UTF-8 encoded, with amounts as plain numbers your ERP will accept.
Each line gets its own row with the invoice number, description, quantity, unit price, and amount for clean line-level imports.
AI identifies fields across thousands of formats without a template, so a new supplier just works on the first upload.
Built-in OCR converts scanned PDFs and phone photos, so image-only invoices become CSV just like native PDFs.
Upload a stack of PDFs and get one consolidated CSV, with every invoice and line item in the same structure.
Files are processed over encrypted connections and are not used to train public AI models.
From upload to import file in under a minute.
Drag in one PDF or a batch. Native PDFs, scans, and photos all work, with no setup or template.
The converter detects the layout and writes the invoice number, dates, vendor, line items, tax, and totals into structured CSV columns.
Tip: Match the CSV headers to your ERP import template before the first load.
Get a clean, UTF-8 CSV ready to import into QuickBooks, Xero, NetSuite, a database, or your own pipeline.
Built for US finance and data teams who import invoices into systems at volume.
Load supplier invoices into the ERP without retyping a single field.
Produce import-ready files for QuickBooks and Xero across many clients.
Feed structured invoice rows into databases, warehouses, and internal tools.
Get predictable CSV columns to script against instead of parsing PDFs.
CSV is the format almost every accounting system and database accepts for a bulk import, which is why it is the safer choice when the goal is loading data rather than reviewing it in a workbook. The catch is that importers are strict: the header row, column order, date format, and encoding all have to line up with the target template, or the load fails. The converter gives you predictable columns and UTF-8 output so you can map once and reuse it every month.
If you would rather keep the data in a workbook to review and adjust first, the invoice PDF to Excel converter produces an .xlsx instead, and our guide on converting PDF invoices to a spreadsheet walks through both routes. For deeper line-level detail, see invoice line item extraction. If the documents you need as CSV are bank statements rather than supplier invoices, bankxlsx.com converts PDF bank statements to CSV for reconciliation.
Upload the PDF and the AI reads the invoice, then returns a flat CSV you download. It writes the invoice number, dates, vendor, line items, tax, and totals into separate columns with a header row, so the file imports into your ERP or database without manual cleanup. It takes a few seconds per invoice.
CSV is a plain text format that nearly every accounting system, ERP, and database accepts for bulk imports, while Excel is better for reviewing data by hand. If your goal is to load invoices into QuickBooks, NetSuite, or a database, CSV maps directly to their import templates and avoids workbook-specific issues.
Yes. The converter outputs a clean CSV with consistent column names and UTF-8 encoding, which is the structure those systems expect. Match the headers to the target import template once, and you can reuse the same mapping for every batch of invoices you convert afterward.
Yes. The converter can output one row per line item, repeating the invoice number on each, which is the layout most line-level ERP imports expect. That keeps descriptions, quantities, unit prices, and amounts in separate columns for accurate cost coding and matching.
Yes. The converter runs OCR on scanned PDFs, JPGs, and photos to recover the text, then extracts the fields into CSV columns. A scan is only an image with no text layer, so OCR is the step that makes an image-only invoice exportable as CSV.
Yes. Upload a batch and the converter returns one consolidated CSV with every invoice in the same column structure. Batch conversion is the main reason data and AP teams use it instead of mapping invoices into an import file one at a time.
AI extraction reaches roughly 98% to 99% field accuracy on clear invoices, well above template tools at around 85% to 90%. Accuracy dips on poor scans, so uncertain fields are flagged for a quick review before you download the CSV and run the import.
The output is a comma-delimited, UTF-8 encoded CSV with a header row and amounts as plain numbers, which avoids the encoding and number-format errors that break ERP loads. You can open it in any spreadsheet tool to verify the columns before importing.
Convert PDF invoices to a clean Excel workbook.
Extract every field and line item to structured data.
Capture full line-item tables, not just the totals.
Automate invoice-to-CSV in your own pipeline.
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