AI Document Parser
Extract structured data from any document — invoices, emails, PDFs, receipts, bank statements, contracts, freight docs. One AI, no templates, route to QuickBooks or Google Sheets or your API.
No credit card required · 30 free pages/month · Works on any document type
Input
Any document, any format
Parsli
AI extracts to your schema
Output
Structured JSON, CSV, Sheets
Parse any document type
The AI reads every document type the same way a human would. No per-type setup.
Invoices
Vendor, amount, line items, PO numbers, tax breakdowns.
Emails
Email bodies and attachments — orders, leads, confirmations.
PDFs
Native and scanned PDFs. Any layout, any length.
Bank Statements
Transactions, balances, dates across any bank format.
Receipts
Merchant, items, total, tax, payment method.
Contracts
Parties, dates, clauses, obligations, terms.
Bills of Lading
Shipper, consignee, commodity, weight, load numbers.
Forms
Any structured or semi-structured form — W-9, 1099, ACORD.
What makes a document parser actually useful
Moving from "I can extract text" to "my team's workflow runs without me" — here's what that requires.
One AI for Every Document Type
Google Gemini 2.5 Pro handles invoices, emails, bank statements, contracts, freight docs — no per-document-type setup or separate models.
No-Code Schema Builder
Define the fields you want in plain language. The AI maps them to any document layout without templates, zones, or rule-writing.
Tables + Line Items + Nested Objects
Extract not just flat fields but multi-row tables (line items, transaction rows), nested structures, and repeating sections.
Scans, Photos, and Handwriting
Built-in OCR handles scanned PDFs, phone photos, and even handwritten forms. No separate OCR pipeline needed.
Route to Any Destination
Send extracted data to QuickBooks, Google Sheets, Zapier, webhooks, or your REST API. Multiple destinations per parser.
Built for Developers Too
REST API for programmatic upload and JSON retrieval. Webhook delivery. Idempotency keys for safe retries. Fair usage, no per-call surprises.
Route to where the work happens
Extracted data lands in the tools your team already uses — no manual copy-paste.
What Is a Document Parser?
A document parser is software that reads a document — invoice, email, PDF, form — and produces structured data (usually JSON, CSV, or a spreadsheet row) matching a schema you define. It replaces manual data entry: the steps a human would take to read a document and type its contents into another system.
Traditional document parsers are template-based: you define field zones for a specific document layout, and the parser matches that template on future uploads. The Association for Intelligent Information Management (AIIM) estimates that 65% of business-critical data arrives in unstructured document form — which is why the intelligent document processing (IDP) market is growing at 24.3% CAGR per Fortune Business Insights.
AI Document Parsing vs Template-Based Tools
Template-based tools (Parseur, Docparser, Rossum-classic) require you to define field zones for every document layout. When a vendor changes their invoice format, the template breaks. Per Gartner research on intelligent document processing, AI-based document parsers achieve 30–50% higher accuracy than template-based systems and require 80% less maintenance when source formats change.
Parsli is an AI-first document parser built on Google Gemini 2.5 Pro. You define a schema — the fields you want extracted — and the AI maps them to any document layout. Schemas compose across document types: one parser per output shape, not per vendor or per layout variation.
Where Document Parsers Fit in Your Stack
The point of a document parser isn't extraction in isolation — it's getting structured data into the systems your team actually uses. For accounting teams, that's QuickBooks or Xero. For ops teams, it's Google Sheets or a data warehouse. For developers, it's a REST API or webhook. Parsli's integrations (see all integrations) are designed so the same extracted data can fan out to multiple destinations from one parser — e.g., push an invoice to QuickBooks as a Bill and to Google Sheets as a row, simultaneously.
Frequently asked questions
What counts as a 'document' in a document parser?
Do I need a separate parser for each document type?
How is this different from OCR software?
How does this compare to Parseur, Docparser, or Nanonets?
Is there an API?
What about security?
How accurate is it?
What's the pricing?
Parse your first document in 2 minutes.
Define a schema. Drop in a document. Get structured data back. Connect to QuickBooks, Sheets, or your API. Free plan included.