Extract vendor details, dates, totals, and line-item rows from PDF invoices, scans, photos, and DOCX files in under 10 seconds. Review the result beside the source, then export accounting-ready CSV or JSON.
Upload your document to get started
Drag and drop files here
Add a PDF, DOCX, JPG, JPEG, PNG, or WEBP invoice.
In under 10 seconds, the parser organizes visible supplier details, dates, totals, currency, and line items.
Check the generated result against the original, make text corrections, and choose an export format.
The parser returns named invoice fields instead of one block of OCR text. A field appears when the model identifies it in the uploaded document.
Vendor name and address when they are visible on the invoice.
The invoice or bill number used to identify the document.
The stated invoice date and due date when present.
The visible subtotal, tax amount, and invoice total as separate fields.
The currency code or symbol identified from the source document.
Descriptions, quantities, unit prices, and line amounts where available.
Automated extraction removes repetitive typing; the workspace keeps the source available so you can check the generated result before using it.
Keep the uploaded invoice visible while reviewing the generated text.
Correct the generated text before copying it or using a text-oriented export.
Add several invoices and review each completed result separately with your available credits.
After processing at least two invoices, compare document counts, dates, totals, tax, and vendor breakdowns.
Export accounting-ready CSV or JSON, or choose Excel, Word, or TXT from the download menu.
Process supported PDFs, document files, scans, and clear invoice photos.
Invoice OCR reads text and layout from an invoice, while an invoice parser maps that content into named business fields and line-item rows. DocuGenie returns supplier details, invoice identifiers, dates, totals, currency, and line items when those values can be identified in the source.
Basic OCR usually returns readable text in document order. Invoice parsing adds structure: a vendor becomes a supplier field, a due date becomes a date field, and a product table becomes rows with descriptions, quantities, unit prices, and amounts.
Extraction quality can vary with blur, shadows, handwriting, unusual tables, and complex page layouts. Compare important dates and amounts with the original invoice before importing, paying, reconciling, or reporting the result.
Use the converter when the immediate job is to move invoice details into reviewable, reusable data without retyping the document.
Create a first-pass record of supplier details, dates, totals, and line items before coding or payment review.
Turn invoices from different suppliers into consistent fields that can be checked against each source.
Move paper and emailed invoices into spreadsheet-friendly data for expense records and accountant handoff.
Collect visible invoice dates, subtotals, tax, totals, and currencies while retaining the source for verification.
Prepare supplier and line-item data for later sorting, comparison, pivot tables, or reporting.
Compare completed invoice results by vendor, date range, subtotal, tax, and total before export.
Use basic OCR when readable text is enough. Use an invoice parser when you need common invoice details separated into fields and line-item rows for review and export.
| Feature | DocuGenie | Basic OCR |
|---|---|---|
| Returns named invoice fields | โ | Usually plain text |
| Separates line items into rows | โ | Layout-dependent text |
| Shows the source beside the result | โ | Varies |
| Supports multi-invoice reconciliation | โ | โ |
| Includes the document's extracted text | โ | โ |
| Offers Excel, CSV, JSON, Word, and TXT | โ | Varies |
Common questions about using Free Invoice to Excel Converter & AI Invoice Parser
Invoice OCR reads text and layout from a digital invoice, scan, or photo. An invoice parser goes one step further by mapping that content into named fields such as supplier, invoice number, dates, totals, currency, and line-item rows that can be reviewed and exported.
Extract bookkeeping, expense, invoice, and statement data.
Extract account details and transaction rows from bank statement PDFs, scans, and images, then review the generated table beside the source.
Scan receipt photos or PDFs into reviewable merchant, item, tax, total, and payment data.
Extract visible PDF tables as reviewable rows and columns before choosing a download format.
Skip paying for a separate app for every task. One DocuGenie subscription bundles handwriting OCR, image-to-text, PDF and Excel conversion, translation, summaries, and more - from $9/mo. Use your credits on whichever tool you need.