Intelligent Document Processing
Without the Enterprise Price Tag
Get enterprise-grade document AI without six-figure contracts. Parsli extracts structured data from any document with zero model training and no templates.
No credit card required · 30 free pages/month
Why Parsli?
Skip the enterprise IDP sales cycle
Without Parsli
- Enterprise IDP platforms cost $50K–$500K per year
- Weeks of model training before you extract anything
- Need dedicated ML engineers to maintain the system
- Locked into long-term contracts with rigid pricing
- Months-long implementation timelines
With Parsli
- Start at $20/month — no enterprise sales calls needed
- Zero training required — AI works out of the box
- No-code setup — anyone on your team can use it
- Month-to-month pricing with a perpetual free tier
- Go live in minutes, not months
Enterprise-grade extraction at 1/100th the cost.
No Model Training Required
Traditional IDP platforms require weeks of annotated training data. Parsli's AI uses Google Gemini 2.5 Pro — a frontier language model that understands documents out of the box. Upload a document and start extracting immediately.
Compatibility
Every document format supported
How It Works
Three steps to structured data
Define Your Schema
Use the visual schema builder to describe the data you need — field names, types, and plain English instructions.
Send Documents
Upload files, forward emails, or connect via API. Parsli accepts PDFs, images, scans, Word, Excel, and email attachments.
Get Structured Data
Extracted data flows to Google Sheets, webhooks, Zapier, Make, or your own systems. Review, approve, and export.
See It In Action
From document to structured data in minutes
No complex setup. No code required. Just define what you need and let AI do the rest.
Create a parser
Give your parser a name and description. Each parser is a reusable extraction template — create one for invoices, another for receipts, another for contracts.
Define your schema
Tell the AI exactly what data to extract. Add fields like “invoice number”, “line items”, or “total amount” — choose from 15 field types including tables, objects, and lists.
Connect your tools
Send extracted data wherever you need it — Google Sheets, Zapier, Make, Power Automate, webhooks, or Gmail inbox. One-click setup, no code required.
Features
Why teams choose Parsli
Zero Model Training
No annotated datasets, no training cycles, no ML engineers. Parsli's AI extracts data from any document on the first try. According to Everest Group, zero-training extraction reduces time-to-value from weeks to minutes.
Transparent, Self-Service Pricing
Plans start at $20/month. No sales calls, no annual contracts, no hidden fees. According to Gartner, hidden costs in enterprise document processing contracts average 25–40% above listed prices.
Works on Any Document Type
Invoices, contracts, bank statements, insurance claims, medical records, tax forms — one platform handles them all without per-document-type configuration.
Full Integration Ecosystem
Connect to Google Sheets, [Zapier](/guides/parse-email-attachments-with-zapier), [Make](/guides/automate-receipt-processing-with-make), QuickBooks, webhooks, and REST API. Your data flows where you need it.
No credit card required · 30 free pages/month
What Is Intelligent Document Processing (IDP)?
Intelligent document processing (IDP) uses artificial intelligence to extract, classify, and validate data from unstructured documents. Unlike basic OCR, which only converts images to text, IDP understands document context — identifying fields, tables, and relationships across the page. Learn more in our guide to [what intelligent document processing is and how it works](/guides/what-is-intelligent-document-processing).
The global IDP market was valued at $2.30 billion in 2024 and is projected to reach $12.35 billion by 2030, growing at a 33.1% CAGR (Grand View Research). This growth is driven by enterprises seeking to automate document-heavy processes across finance, healthcare, logistics, and legal — where 80–90% of data remains trapped in unstructured documents (Deloitte).
IDP vs OCR vs RPA: What's the Difference?
OCR (optical character recognition) converts images of text into machine-readable characters. It's a single technology, not a complete solution. RPA (robotic process automation) automates repetitive tasks by mimicking human actions — clicking buttons, filling forms, moving data between systems. IDP combines AI-powered document understanding with extraction capabilities, sitting between OCR (which reads text) and RPA (which acts on data).
In practice, an IDP platform like Parsli handles the entire document processing pipeline: receiving documents, reading them with OCR, understanding their structure with AI, extracting specific fields, and delivering structured data to downstream systems. RPA tools like UiPath or Automation Anywhere often integrate with IDP platforms to complete end-to-end workflows.
How IDP Reduces Document Processing Costs
According to IOFM, manual document processing costs approximately $6.30 per document, while automated processing costs approximately $1.45 — a 77% reduction. At scale, the savings are transformative: a team processing 5,000 documents per month saves over $24,000 monthly by switching from manual to AI-powered extraction.
Beyond direct cost savings, IDP reduces processing time from minutes per document to seconds, virtually eliminates data entry errors, and frees staff to focus on analysis and decision-making instead of typing. Forrester estimates that AI-powered document processing reduces overall processing costs by 30–40% compared to semi-automated approaches.
FAQ
Frequently asked questions
How is Parsli different from enterprise IDP platforms?
Enterprise platforms like ABBYY, Kofax, and UiPath require large upfront investments, dedicated ML teams, and months of implementation. Parsli offers the same AI extraction capabilities with self-service pricing starting at $20/month and setup in minutes.
Does Parsli require model training?
No. Parsli uses Google Gemini 2.5 Pro, a frontier language model that understands documents out of the box. No annotated datasets, no training cycles, no ML engineers required.
What document types does IDP support?
Any document type — invoices, contracts, bank statements, insurance claims, medical records, receipts, tax forms, shipping documents, and more. Parsli adapts to any layout without per-type configuration.
Can Parsli handle high-volume document processing?
Yes. Plans support up to 25,000 pages/month. For higher volumes, contact us for enterprise pricing. Most documents process in under 3 seconds regardless of complexity.
How does Parsli compare to ABBYY or Nanonets?
ABBYY and Nanonets offer powerful IDP but at significantly higher price points and with longer setup times. See our detailed comparisons: [Parsli vs ABBYY](/compare/abbyy) and [Parsli vs Nanonets](/compare/nanonets).
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Start extracting structured data in minutes. No credit card required.
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