Invoice Parser

AI Invoice Parser Software

Extract vendor, amount, line items, dates, and PO numbers from any invoice — PDF, scan, or email attachment. Send the data straight to QuickBooks, Google Sheets, or your API.

No credit card required · 30 free pages/month · QuickBooks-ready in 60 seconds

Input

Invoice PDF, scan, or email

Parsli

AI extracts every field

Output

QuickBooks, Sheets, API

Built for invoice data extraction

Every feature is shaped around one job: get invoice data out of PDFs and into the systems your team actually uses.

AI That Reads Any Invoice

Google Gemini 2.5 Pro reads invoices the way a human AP clerk would — understanding layout, context, and meaning. Handles new vendors and format changes without templates or zone mapping.

Full Line-Item Extraction

Multi-row line items with description, quantity, unit price, and total — preserved across multi-page invoices and merged cells. Not just header fields.

Scanned + Photo Invoices

Built-in OCR handles scanned PDFs and phone photos of invoices. No separate OCR step, no image preprocessing.

Every Field You Need

Invoice number, vendor name, billing address, dates, PO number, tax breakdown, payment terms, currency — define your schema, get consistent typed output.

Direct to QuickBooks, Sheets, or API

Push extracted invoices straight into QuickBooks Online as Bills — with the original PDF attached. Or send to Google Sheets, Zapier, webhooks, or a REST API.

Duplicate-Proof Delivery

Deterministic idempotency keys prevent the same invoice from creating two Bills. Never worry about double-posting on reprocess.

Parsli vs Template Parsers vs Manual AP

CriterionParsliTemplate ToolsManual Entry
Handles new vendors without setupYes — AI adaptsNo — new template per vendorHuman brain
Layout changesAutomaticTemplate breaksAdapts slowly
Line-item tablesMulti-row + multi-pageOften single-row onlyManual
QuickBooks pushNative (no Zapier)Usually via ZapierCopy-paste
Source PDF attachedYes (on the Bill)DependsManual upload
Duplicate protectionDeterministic keysVariesNone
Setup time2 minutes30 min per vendorOngoing
Per-invoice cost at scaleLowest tier: ~$0.08$0.15–$0.50+$15.97 (IOFM)

Manual AP cost per invoice: $15.97, per IOFM 2023 benchmarking. Parsli per-invoice cost at the Starter tier ($20 / 250 pages) assumes a 1-page invoice.

What Is an Invoice Parser?

An invoice parser is software that automatically extracts structured data — vendor, amount, line items, dates, tax breakdowns — from invoice documents. Rather than a human typing the data into accounting software, the parser reads the invoice and produces structured output that can be posted to QuickBooks, Xero, or a data warehouse.

Traditional invoice parsers use template-based extraction: you define field zones for each vendor's invoice layout, and the parser matches the template on new invoices. When vendors change their invoice format — which happens regularly — the template breaks and extraction fails silently.

Why AI Invoice Parsing Beats Template Tools

AI-powered invoice parsers use large language models that understand invoice semantics contextually — they know a "Total" field near the bottom of a document is the amount owed, regardless of what label the vendor uses ("Balance Due", "Amount to Pay", "Net Total"). According to Gartner's research on intelligent document processing, AI-based approaches achieve 30–50% higher accuracy than template-based systems and require 80% less maintenance when source formats change.

For accounts-payable teams, this matters for a concrete reason: the Institute of Finance and Management (IOFM) reports that manually processing a single invoice costs $15.97 on average with 10–15 day cycle times. An invoice parser that works for every vendor — not just ones you've pre-configured — is the difference between an AP team that scales and one that keeps hiring data-entry clerks.

How Parsli Extracts Invoice Data

Parsli is built on Google Gemini 2.5 Pro. You define a schema once — the fields you want extracted (invoice number, vendor, amount, due date, line items, PO number, payment terms). For every invoice you upload, email in, or submit via API, the AI reads the document contextually and produces a JSON object matching your schema. The same schema works across hundreds of different vendor layouts — no per-vendor setup.

Where Parsli differs from other AI invoice parsers: the native QuickBooks integration pushes extracted data straight into Bills with the original PDF attached, with no Zapier or Make middleware. For teams whose primary destination is QuickBooks, this is direct: OAuth connect, pick your expense account, drop in documents, done.

Frequently asked questions

What's the difference between an invoice parser and invoice OCR?
OCR (optical character recognition) reads raw text from an image; it doesn't know which number is the total or which line is the vendor. An invoice parser combines OCR with structured extraction — it understands that 'Total: $1,234.56' means the total field is 1234.56. Parsli is an AI-powered invoice parser: OCR + schema-aware extraction in one step.
How does Parsli compare to template-based tools like Docparser or Nanonets?
Template-based tools require you to define field zones for every invoice layout. When a vendor redesigns their invoice, the template breaks. Parsli uses AI that adapts to new layouts automatically — no zones to maintain. Accuracy stays consistent across hundreds of different vendor formats. See the full comparison at /compare/docparser and /compare/nanonets.
Can it push invoices directly to QuickBooks?
Yes. Parsli has a native QuickBooks Online integration (OAuth 2.0, Intuit App Assessment approved) that creates Bills, Expenses, or Invoices with the original PDF attached. No Zapier middleware, no per-operation fees. See /integrations/quickbooks.
Does it extract line items (not just totals)?
Yes. Parsli's table field type extracts multi-row line items — description, quantity, unit price, line total — preserved across multi-page tables and merged cells. Each line item is its own structured object in the output.
How accurate is it?
95%+ field-level accuracy on well-formed invoices, per the Everest Group IDP PEAK Matrix benchmark for AI-powered extraction. Every field ships with a confidence score so you can flag low-confidence extractions for human review.
Is there an API for developers?
Yes. The REST API supports invoice upload, extraction, and structured JSON retrieval. Batch-process thousands of invoices programmatically. API access is included on all plans. See /integrations/api.
What does it cost?
Free plan: 30 pages/month (each invoice page = one page). Paid plans start at $20/month for 250 pages. No credit card required for the free tier. See /pricing.

Stop typing invoice data into QuickBooks.

Set up a parser in 2 minutes. Forward your first invoice. Watch it land in QuickBooks with the PDF attached. Free plan included.