All use cases
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Supply chain
CS
Operations

Extract email body and attachment data

Learn how to turn your inbox into a structured, reliable data source with AI. Extract and digitize data from documents like invoices, packing lists, and customs documents using Parabola’s no-code, AI-enabled email connector.

How to extract email and attachment data automatically

Email is still one of the most common channels for operational documents—especially invoices and shipping docs from 3PLs, vendors, and freight forwarders. But this data usually arrives in messy formats like PDFs, spreadsheets, or unstructured text in the email body, requiring manual copy-paste work to extract and organize key details. Parsing these emails manually leads to delays, inconsistent data, and costly downstream mistakes.

Parabola transforms your inbox into a reliable data source. Automatically forward emails into Parabola, extract data from the email body and any attachments, and use AI to pull out and standardize the exact data you need—from invoice IDs and due dates to SKU-level packing list info. Go further and automate the entire end-to-end process, with custom rules to transform your data and update systems.

Not sure where to start?
Parabola helps you bring disparate data and documents together. Get a demo to speak to a member of our team.
Get a demo
Get a demo
Submitted!
Error please enter a valid email address
Video overview
Why Parabola
Turn plain English into automation.

With Parabola’s NLP-powered engine, anyone on the team can direct workflows, change processes, and analyze results – just by explaining their needs.
See proof of value in days.
Get your first flows live during Parabola’s “co-build” onboarding process. Reach out to Parabola SMEs on your shared Slack channel for extra support.
Document as you automate.
Parabola traces your steps as you convert complex processes into easy-to-follow chains of logic, generating artifacts for audits and new hire training.
Build once, then iterate.
There’s no need to start from scratch. Reuse Parabola workflow templates to address known inefficiencies faster.
Identify issues before they burn you.
Parabola automatically flags issues that need attention so you can stay agile without compromising accuracy.
Reinvest your talent.
Your team is full of curious self-starters. Put them in Parabola so they can focus on higher-order work.
Inspire teammates
Explore use cases beyond your role. Show your teammates what else is possible with AI and automation.
The ops team has become so dependent on Parabola—it has helped our workflow a lot.
Zachary Wilner
Head of Data @ Pair Eyewear
Extract email body and attachment data FAQs
What is email extraction?
+

Extracting email and attachment data is the process of pulling structured information from emails—like the email body, subject line, or attached documents PDFs, spreadsheets, etc.—to use in downstream operational workflows. It’s a common need for teams handling invoices, freight docs, or vendor communication sent via email.

How to extract email and attachment data in Parabola
+
  1. Set up an auto-forwarding rule from your inbox to your unique Parabola email address in the Extract from email step.
  2. Use the Extract from email step to access both the email body and attached files.
  3. Use the Auto-detect with AI feature to find values to extract, then fine tune the columns, example values, and instructions.
  4. Standardize, clean, and validate your data using steps like Edit columns, Add Math Column, or Add If/Else Column.
  5. Send the structured output to systems like NetSuite, Slack, Google Sheets, or your internal dashboard.
Tips for extracting emails and attachments in Parabola
+
  • Set up different forwarding rules based on email sender or subject to filter incoming data sources.
  • Use the email metadata (like sender or subject) as filters or logic triggers in your flow.
  • When working with attachments, take advantage of Parabola’s AI steps to extract data even when document formats vary.
  • Create fallback logic to flag emails or attachments that don’t meet formatting expectations for manual review.
  • Combine extracted email and attachment data with other sources (like PO or delivery data) to enable automated three-way matching.

What other resources are available on extracting data from emails?
+