Invoice data extraction for bookkeepers
Bookkeepers use InvoiceJet to turn a pile of client invoices into verified, structured data in about 30 seconds each, with every field tied to the exact spot on the document it came from. Entity tags keep each client's invoices separate, and clean invoices auto-verify so you only touch the ones that need a decision.
What slows you down
- Keying invoice data by hand, 3 to 5 minutes each, across every client.
- Chasing down which document a number came from at review time.
- Keeping one client's invoices from bleeding into another's books.
How InvoiceJet helps
Verified before it reaches you
Two models must agree and the math must check out before a field reaches high confidence, so you are not re-typing or re-checking every value.
Every number cites its source
Click any field and the exact text is highlighted on the original invoice. Review and audit stop being a scavenger hunt.
One workspace, many clients
Entity tags separate per-client or per-company records, and exports filter by tag, so each client's data stays clean and portable.
Common questions
Can I keep invoices separate per client?
Yes. Entity tags let you track and export invoices per client or per company, so nothing gets mixed up at reconciliation time.
How do I get the data into my accounting tool?
Export CSV or JSON filtered by entity tag, or use signed webhooks and the REST API to push verified invoices into your own workflow.
See it work
The interactive demo on the home page replays a real extraction, or read how invoice data extraction works.
Turn your next invoice into verified data
Free for 10 invoices a month, no card. Every field carries a confidence level and cites its source.