Use Case

Extract Data from Emails Automatically

Set up an inbound email address, forward business emails (orders, leads, confirmations, vendor invoices), and get structured data in the system of record — QuickBooks, Sheets, CRM, or your API. No templates.

The Problem

Business-Critical Data Is Trapped in Email Bodies

The Association for Intelligent Information Management (AIIM) reports that 65% of business-critical data arrives as email content or attachments. Order confirmations from e-commerce platforms, lead-form notifications, vendor invoices, shipping confirmations — all of it structured enough for a human to read, none of it structured enough for a database. Someone has to manually copy it every time.

Zapier's Built-In Email Parser Is Rule-Based

Zapier's Email Parser works on pattern matching — you train it by highlighting fields in a sample email. When senders change their email format (and they do — Shopify, Amazon, Squarespace all update their templates), the pattern breaks silently. Leads go to the wrong system, orders don't sync, and no one notices until a customer complains.

Attachments Still Get Handled Manually

Even when email-body extraction works, the real data often lives in attached PDFs — invoices, statements, shipping labels. Zapier's parser can't read attachments. Your team either downloads each PDF by hand or builds a separate Zapier-to-cloud-storage-to-OCR Rube Goldberg machine. Either way, someone is in the loop.

How Parsli Solves This

Parsli's AI handles the heavy lifting so you can focus on what matters.

Your Own Parsli Inbox Address

Each parser gets a unique email address (parser-abc@parsli.co). Forward emails there directly, set up Gmail/Outlook auto-forward rules, or pipe them from any email provider. Parsli processes the email body AND every attachment in a single extraction.

AI Understands Email Context

Google Gemini 2.5 Pro reads the email the way a human assistant would — understanding subject, body, signature, and attachments as one logical whole. Format changes don't break it. New sender formats work immediately without retraining.

Extract from Body AND Attachments

A vendor-invoice email usually has text in the body ("Invoice #1234 attached") plus a PDF with the actual data. Parsli extracts from both in one pass — no separate attachment-handling step, no downloading-and-re-uploading.

Fan Out to Multiple Destinations

The same extracted email data can route to [QuickBooks](/integrations/quickbooks) as a Bill, [Google Sheets](/integrations/google-sheets) as a row, Zapier for a notification, and your REST API for backup — all from one parser. See [/integrations](/integrations) for the full list.

Frequently Asked Questions

What kinds of emails can Parsli extract from?

Any email with structured data — vendor invoices, order confirmations (Shopify, WooCommerce, Amazon, Etsy), lead-form emails, booking confirmations (hotels, flights, rentals), shipping notifications, support tickets. If a human can read the email and identify the fields you want, Parsli can extract them.

How does this compare to Zapier's built-in email parser?

Zapier's parser uses pattern matching — train it on a sample, hope the pattern holds. Parsli uses AI that reads emails contextually. In practice: Zapier breaks when email formats change (which happens often); Parsli adapts automatically. Zapier can't read attachments; Parsli processes body + attachments in one pass. Zapier's parser doesn't support line-item tables; Parsli does. See the head-to-head in our [Zapier alternative comparison](/zapier-alternative).

Do I need to change my email provider?

No. Parsli works with any provider — Gmail, Outlook, Yahoo, custom domains, transactional-email services. You either forward the emails to your Parsli inbox address, or set up auto-forward rules in your existing inbox. For Gmail there's also a native integration that processes emails without forwarding.

Can I filter which emails get processed?

Yes, several ways. Use Gmail or Outlook filters to auto-forward only matching emails (e.g., 'from: *@amazon.com'). Or set up separate parsers for different email types — one for vendor invoices, one for order confirmations — each with its own inbox address. Or route everything to one parser and let the AI schema determine what's extracted.

How is this different from an inbox add-in?

Inbox add-ins (like Superhuman's AI features) run in your personal inbox and summarize emails for you. Parsli is server-side and workflow-focused — it runs unattended, extracts structured data to your downstream systems (QuickBooks, Sheets, CRM), and operates at volumes (hundreds or thousands of emails/day) where a personal inbox add-in isn't the right tool.

Is there an API for programmatic email submission?

Yes. Besides the inbound email address, the REST API accepts email content as MIME or raw JSON payloads. Useful if you're pulling emails from a transactional-email service (Postmark, SendGrid inbound) and routing programmatically. See [/integrations/api](/integrations/api).

What's the latency?

Forwarded emails are typically processed within 3–10 seconds of arrival, including destination delivery. For high-volume senders, Parsli queues and processes in parallel — a spike of 100 emails resolves in under 60 seconds end-to-end.

Works with your stack

Route extracted data straight into the tools you already use — no middleware required.

Related Resources

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