AI document parser that transforms PDFs or images into structured JSON or CSV data

Parsley

2025

(1/5) A document turned into fields you named.

(2/5) Upload a file, then name the fields you want.

(3/5) Demo, Gemini, or your own OpenRouter key.

(4/5) A curl command for the same parser.

(5/5) A bank statement, as JSON.

(1/5) A document turned into fields you named.

GitHubVisit the website

I used to build custom OCR systems for every document type I needed to parse. Bank statements were especially tedious: hardcoded pixel positions, regex patterns for each bank's format, and brittle parsing logic that broke with every minor PDF template change. Then I'd need similar setups for invoices, receipts, forms.

The solution

Rather than keep fighting with OCR, I built Parsley with LLMs. It understands the content directly and structures it as needed. If you ask for "customer name" it finds it, whether it's labeled "Bill To:", "Customer:", or hidden in a paragraph. No hardcoded positions or regex.

Your API keys are used directly in the web app, so documents go straight to Google or OpenRouter. I can't access them. Everything stays stateless.

Features

  • Custom schemas (define your own structure, or let AI generate it)
  • Supports PDF (including password-protected) and images (PNG, JPEG, WebP)
  • Multiple AI providers (Google Gemini, OpenRouter, your own keys)
  • Demo mode with rate-limited free tier (no API key needed)
  • Export as JSON or CSV
  • API works with n8n, Zapier, or other automation tools

How I use it

I run invoices through Parsley in n8n, extract the needed data, and send it straight to my accounting spreadsheet. Same approach for bank statements, receipts, forms, any document where I want structured data fast.

Tools