Turn names in customer emails into structured details
Clean up full names shared in messages, including standardized forms and grammatical cases when available.
Trigger
New Gmail Message Received Trigger
Triggers when a new message is received in Gmail.
Action
Clean Name (FIO)
Tool to standardize and parse full names (fio), detect gender, and return grammatical cases. use when you need structured name parsing and declensions from raw fio inputs.
Why this helps
Names in email signatures and message text are inconsistent and can be hard to parse reliably.
- Standardize raw full name input.
- Receive parsed name details and grammatical cases.
- Spend less time interpreting names in message text.
Setup
Build it in a few focused steps.
- 1Connect Gmail and Dadata ru once in the Notis portal.
- 2Create an automation and describe how to identify a contact's full name and clean it.
- 3Choose the New Gmail Message Received trigger.
- 4Choose where run reports should go, then test with one real message that includes a full name.
Questions about this workflow
Will it find a name in every message?
Notis can use your instruction to look for a contact name in message text or a signature. Results depend on the available text.
Does name parsing confirm the person's identity?
No. It standardizes and parses the provided name; it does not verify a person's identity.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Gmail to Dadata ru. A trigger fires from one place; an action lands in another.
Gmail triggers
Dadata ru actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
Gmail and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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