Turn inbound emails and attachments into structured data

MailSlurp combines programmable inboxes, attachment handling, AI prompts, OCR, JSON schemas, and webhooks so teams can convert real emails into clean records for spreadsheets, databases, queues, and internal tools.

App screenshot

Emails + files

One intake path

Process message bodies, headers, PDFs, images, CSV files, spreadsheets, and other attachments.

JSON schemas

Consistent output

Define the fields your workflow expects so extracted data stays predictable downstream.

Webhooks

Immediate handoff

Send extracted records to your app, queue, CRM, spreadsheet, or database when messages arrive.

Programmable inboxes

Controlled inputs

Provision inboxes per customer, vendor, form, workflow, or environment without mailbox sprawl.

Core capabilities

AI email parser capabilities teams can act on

Parse inbound emails and attachments with AI prompts

Extract fields from real email bodies and attached documents using prompts, OCR, and structured extraction workflows.

  • AI parser
  • OCR
  • Attachments

Return clean JSON, CSV, and spreadsheet-ready records

Normalize extracted data into formats that finance, operations, support, and data teams can use immediately.

  • JSON
  • CSV
  • XLSX

Connect extraction to webhooks and automation pipelines

Trigger downstream workflows when a matching email arrives, a file is parsed, or a record needs manual review.

  • Webhooks
  • Routing
  • Review queues

Build on real inboxes instead of forwarded mailbox chains

Create controlled addresses for each intake flow and keep message history, attachments, and extraction results tied together.

  • Inboxes
  • History
  • APIs

Team use cases

Ways teams use MailSlurp for AI email parser

Finance teams

Invoice, receipt, and remittance extraction

Convert vendor emails and attached documents into structured records for review, reconciliation, and spreadsheet handoff.

  • Reduce manual copy and paste from attachments
  • Keep extracted fields tied to source messages
  • Route uncertain records for human review

Operations teams

Order, shipment, and case intake

Parse operational emails into consistent events that can update internal systems and trigger follow-up workflows.

  • Shorten time from email arrival to action
  • Standardize intake across vendors and customers
  • Preserve attachments and original message evidence

Engineering teams

Email parser API for internal tools

Use programmable inboxes and extraction APIs to build reliable data pipelines from messy inbound email sources.

  • Avoid maintaining mailbox polling scripts
  • Use webhooks for low-latency processing
  • Return structured records to product systems

Start testing

Start previewing customer emails quickly

Day 1

Create one intake inbox and define the target fields

Start with one email type and decide which fields your downstream system needs.

  • Provision a dedicated inbox
  • Send representative emails and attachments
  • Define the JSON fields for extraction

Week 1

Connect extraction results to a workflow

Route parsed records to a spreadsheet, webhook endpoint, queue, or review process.

  • Validate records against the expected schema
  • Send results to the target system
  • Capture exceptions for manual review

Week 2+

Scale across inboxes, vendors, and document types

Add more intake addresses and extraction schemas once the first workflow is reliable.

  • Create inboxes per vendor or workflow
  • Add schema variants for new message types
  • Monitor extraction quality and routing outcomes

Customer use cases

Where MailSlurp helps

Finance and operations owners

Challenge: Important data arrives in unstructured emails and attachments that require manual handling.

What improves: Turn each inbound message into structured records that can move through repeatable workflows.

Platform engineers

Challenge: Mailbox polling, MIME parsing, attachment handling, and retries become custom infrastructure.

What improves: Use managed inboxes, parsers, and webhooks instead of maintaining a one-off mail processing stack.

Automation teams

Challenge: Forwarding rules and shared inboxes make ownership, replay, and exception handling difficult.

What improves: Give every intake workflow its own address, schema, event trail, and downstream handoff.

Better email releases

What gets easier before send time

  • Cleaner downstream data

    Schemas and structured outputs reduce the ambiguity that makes email-driven workflows hard to automate.

  • Less mailbox plumbing

    MailSlurp provides the inbox, parsing, attachment, webhook, and API primitives in one workflow.

  • Faster exception handling

    Keep source messages and attachments connected to extracted records so failed parses are easier to review.

  • Room to expand

    Start with one email type, then add more inboxes, schemas, and routing rules as the workflow proves value.

Ready to test your next email?

FAQ

Common questions before starting

Can MailSlurp parse both email body content and attachments?

Yes. MailSlurp can process email body content, headers, and attachments so extraction workflows can work with the full message payload.

Can extracted data be sent to a spreadsheet?

Yes. Teams can route structured records to spreadsheets, webhook endpoints, queues, databases, and internal applications.

Do we need to connect an existing mailbox?

No. You can create programmable inboxes for each workflow, or use connected accounts where that fits the process.

What should we automate first?

Start with a repeatable email type such as invoices, receipts, order updates, or support attachments where the target fields are clear.