Document AI

Extract PDF invoices, scanned tables, and documents to Excel with AI

Turn tables in PDFs, invoice photos, and scanned trade documents into structured Excel data for review, filtering, and reconciliation.

Đội ngũ sản phẩm ChuyenFile · 9/23/2026 · 8 min read
Operations analyst comparing printed invoices with a structured spreadsheet on a monitor

If your team retypes invoices, price lists, packing lists, or PDF reports into spreadsheets, the cost is more than staff time. A misplaced decimal, tax field, or item code can disrupt reconciliation. ChuyenFile AI Convert to Excel identifies tables and organizes their content into editable rows and columns.

Quick answer

Upload a PDF, Word file, or image; select automatic detection, define the fields you need, or provide an Excel template; review the extracted grid; correct uncertain cells; then export .xlsx. For financial or legal documents, validate totals, taxes, units, dates, and identifiers before importing the result into a system of record.

Best-fit use cases

  • Accounting: consolidate invoice and quotation data.
  • Trade and logistics: extract invoices, packing lists, and bills of lading.
  • Operations and sales: normalize price lists, catalogs, and purchase orders from varying layouts.

A five-step workflow

  1. Open AI Convert to Excel and upload the source.
  2. Use automatic mode for changing layouts, or define fields for a known schema.
  3. Upload an Excel template when the organization already has a reporting format.
  4. Review and edit the preview grid.
  5. Export .xlsx while retaining the source file for traceability.

Table extraction is more than plain OCR

Basic OCR returns characters. Table extraction must also identify rows, columns, headers, merged cells, and label-value relationships. Context matters across languages: “Amount”, “Thành tiền”, and “金额” may represent the same business field.

Personalize the schema

An accounting team might request invoice number, date, supplier, subtotal, tax, and total. A logistics team may need SKU, description, carton count, weight, origin port, and destination. Clear field names and a representative template reduce cleanup after extraction.

Quality-control checklist

  • Compare row counts and totals with the source.
  • Verify decimal separators, thousands separators, and dates.
  • Flag uncertain cells instead of sending them directly to an ERP.
  • Retain the source filename for every batch.
  • Do not base financial decisions on unreviewed extraction.

Bottom line

AI is most useful when it removes repetitive entry while keeping people in control of final validation. ChuyenFile is designed for teams that need to move tables from PDFs and scans into Excel, review the result, and correct it before download.

FAQ

Can ChuyenFile extract tables from scanned PDFs to Excel?

Yes. It uses image recognition and table structure analysis; clear, straight, well-lit scans produce the best results.

Can I use my company Excel template?

Yes. Provide a template or a field list so the output follows your existing reporting workflow more closely.

Should extracted data be reviewed?

Yes. Always validate totals, taxes, dates, item codes, and fields that affect accounting or legal decisions.

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