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MailSlurpMailSlurp
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Extract

Quick setup

Choose a page below to configure your extraction workflow.

Transformers

Define prompts, schemas, and extraction behavior.

Open

Mappings

Connect inboxes or phone numbers to transformer pipelines.

Open

Results

Inspect extracted output, export data, and connect sheets.

Open

Extract pipeline

Extract structured data from every inbound channel

Extract structured data from emails, attachments, and SMS using AI prompts, content schemas, and OCR document analysis.

1. Transformers2. Mappings3. Results

Define

Configure extraction logic

Define exactly what to extract using AI instructions and optional JSON/content schema constraints for stable field names and data types.

Connect

Attach inboxes and phone numbers

Map inboxes and phone numbers to transformer pipelines and process inbound emails, attachments, and SMS events automatically or by API invocation.

Operate

Use and route structured outputs

View results as table, sheet, or JSON, export CSV, fetch via API, or connect outputs to downstream sinks such as Google Sheets.

Resources

Example use cases and implementation guides

Start from common automation patterns and adapt prompts, schemas, and mappings to your own workflow.

Finance ops

Convert inbound invoices into spreadsheets

Extract supplier, due date, totals, and line items from invoice emails and attachments into spreadsheet-ready rows.

Logistics

Extract delivery details from package updates

Capture tracking IDs, courier names, ETA windows, and status changes from inbound shipment notifications.

Testing

Capture links and OTP codes during test runs

Parse authentication emails and SMS for one-time codes, magic links, and verification URLs in automated tests.

Support

Normalize inbound support requests

Structure sender intent, priority, references, and action items to route requests into downstream queues and tools.