Drop in invoices, receipts or contracts and Parsr turns them into clean structured data. OCR reads any layout, an LLM extracts the fields you care about with a confidence score, flags anything unsure for review, and syncs straight to your tools.
Invoices, receipts and POs arrived as PDFs, scans and phone photos — and a person keyed every field into the system by hand. It was slow, error-prone, and template-based tools broke the moment a new vendor layout showed up.
The brief: read any document, any layout, pull the fields into a clean schema with a confidence score, send only the uncertain ones for human review, and sync the rest straight to accounting — no re-typing.
PDFs, scans, and phone photos all work. Layout-aware OCR recovers the text and its position on the page, so a new vendor's invoice doesn't need a new template — it just reads.
An LLM maps the messy page onto a clean field schema — vendor, dates, line items, totals — and attaches a confidence to each. High-confidence fields pass; low-confidence ones are flagged for a human.
Arithmetic and format checks catch the errors a human would (does subtotal + tax equal total?). Clean records export to CSV or push to accounting tools over the API — zero re-keying.
My team used to hand-key hundreds of invoices a week. Now they just glance at the few Parsr isn't sure about — everything else lands in our books already correct.
Across messy real-world layouts, the right value lands in the right field — with a confidence score that tells you exactly which few to double-check.
Read, extract, score and validate a document in about five seconds — versus the minutes of careful typing it replaces, at any volume.
Clean records sync to CSV or accounting over the API automatically; people only touch the handful flagged as uncertain.
Drop in a document, get structured data — OCR, field extraction, confidence scoring, and accounting sync.
Invoices, receipts, and contracts arrive and auto-process.
Every field mapped to a schema with a confidence score.
Only uncertain fields surface for human review — nothing else.
Validated records exported to CSV or pushed via API.
Extraction accuracy, throughput, and review rates over time.