Invoice Parsing
Flick AI helps teams extract useful accounting data from invoices, bills, and receipts so bookkeeping starts with structured records instead of manual typing.
For Indian accounting, invoice extraction needs more than a total amount. Teams need supplier names, customer details, GSTIN context, tax amounts, invoice dates, and line-level clues for ledger review.
Flick AI uses extracted invoice data to support bank matching, ledger suggestions, GST/TDS reconciliation workflows, and financial reports.
Key Capabilities
Use invoice parsing for PDFs, bills, receipts, scanned documents, and common business document formats.
Extracted data flows into reconciliation, ledger review, and reporting instead of staying as isolated OCR text.
Basic includes 100 invoice parses per month and Pro includes 500 invoice parses per month.
| Field | Why it matters | Accounting use |
|---|---|---|
| Invoice date | Places transaction in the right period | Monthly close |
| Supplier or customer | Identifies party relationship | Receivables and payables |
| GST details | Supports tax review | GST reconciliation support |
| Amount | Creates accounting value | Reports and matching |
FAQ
AI invoice parsing reads invoice documents and extracts fields like party, date, amount, tax, and document details for accounting use.
Basic includes 100 invoice parses per month and Pro includes 500 invoice parses per month.
Yes. Structured invoice data makes it easier to match invoices with bank transactions and review monthly books.
Try Flick AI
Start with a 14-day free trial or book a demo to see how Flick AI handles invoice parsing, reconciliation, GST/TDS support, and reports for Indian businesses.
