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Business & Operations

Parsio

AI document and email parser that turns PDFs, invoices, receipts, and emails into structured data for Google Sheets, QuickBooks, and 6,000+ apps

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4.5 / 5Open Site

Parsio extracts structured data from PDFs, scanned documents, emails, and attachments automatically, so nobody has to retype invoices, receipts, bank statements, or leads by hand. Four parsing engines cover different jobs: an AI parser with pre-built models for common document types such as invoices, receipts, bank statements, business cards, ID documents, and W-2 forms; a GPT parser for unstructured documents; a template parser for stable, repeated layouts that you set up by highlighting the text to extract; and an OCR converter for PDFs and images. It also works as an email parser that reads incoming messages and attachments (PDF, HTML, XLSX, CSV, DOCX, XML, TXT) in real time, and it extracts tables with a variable number of rows. An AI code assistant writes Python for custom post-processing from a plain-language description. Parsed data exports to Excel, CSV, JSON, and Google Sheets, and connects through Zapier, Make, n8n, webhooks, an API, and integrations such as QuickBooks, Slack, and Google Drive. It reports 10,000+ businesses and a 4.9/5 rating on Capterra.

Best for
Small businesses, accountants, and operations teams that handle repeated invoices, receipts, bank statements, or lead emails and want the data sent to spreadsheets or accounting software without manual data entry
Pricing
Free forever plan (30 credits a month, no credit card, 30-day data retention); Starter from $24/mo billed yearly (100 to 1,000 credits); Growth $124/mo billed yearly (5,000 credits, unlimited team members); Business from $249/mo billed yearly (12,000 to 100,000 credits, 180-day retention); a parsed page costs 1 to 3 credits depending on the parser, and credits renew monthly

Pros

  • Permanent free plan with 30 credits a month and no credit card, enough to test it on real documents
  • Four parser engines in one tool: AI, GPT, template, and OCR, so you can match the method to each document type
  • Works for both documents and incoming emails, including attachments, and exports to Google Sheets, Excel, QuickBooks, and thousands of apps via Zapier, Make, and n8n
  • Prices have stayed unchanged since launch according to the pricing page, and every plan includes the AI code assistant

Cons

  • Usage is credit-based at 1 to 3 credits per page, so the free 30 credits cover only a handful of AI-parsed pages (the AI parser costs 3 credits a page)
  • Free and Starter plans are limited to 1 user, while unlimited team members start at the $124/mo Growth plan
  • Multi-language support is stated for Latin and European languages, so it is a weaker fit for other scripts

Core features

  • • AI parser with pre-built models for invoices, receipts, bank statements, business cards, IDs, and W-2 forms
  • • GPT parser for unstructured documents
  • • Template parser for stable layouts, set up by highlighting text
  • • OCR converter for PDFs and images, including handwriting in Latin and European languages
  • • Email parser that reads messages and attachments in real time
  • • Table extraction with a variable number of rows
  • • AI code assistant that writes Python post-processing from plain-language instructions
  • • Export to Excel, CSV, JSON, and Google Sheets
  • • Integrations with QuickBooks, Slack, Google Drive, Zapier, Make, n8n, webhooks, and an API

Use cases

  1. 1. Turning supplier invoices and receipts into rows in Google Sheets or QuickBooks
  2. 2. Pulling bank statement data from any bank into a spreadsheet
  3. 3. Capturing leads from incoming emails and sending them to a CRM or Slack
  4. 4. Extracting contact details from business cards and email signatures
  5. 5. Processing order forms or tax documents without manual data entry

FAQ

Is there a free plan?

Yes. The free plan gives 30 credits a month with no credit card required and 30-day data retention.

What file types can it parse?

PDFs, scanned documents, images, and emails with attachments such as PDF, HTML, XLSX, CSV, DOCX, XML, and TXT.

How are credits counted?

A parsed page costs 1 to 3 credits depending on the parser type, and credits renew every month.

Where can the data go?

Exports to Excel, CSV, JSON, and Google Sheets, and connects to QuickBooks, Slack, Google Drive, Zapier, Make, n8n, webhooks, and an API.

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