Make extracted names ready for structured use
Turn a full name from a parsed document into structured name details with grammatical cases.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean Name (FIO)
Parses and standardizes a full name, with gender and grammatical forms.
Why this helps
Names extracted as one text string take extra effort to review and reuse consistently.
- Parse a full name into structured parts.
- Return gender detection and grammatical cases.
- Cut manual name formatting after document extraction.
Setup
Build it in a few focused steps.
- 1Connect Affinda and Dadata ru once in Notis.
- 2Create an automation and describe the name parsing outcome in one instruction.
- 3Choose a webhook trigger for incoming document data.
- 4Choose a report channel for run results.
- 5Test with one real extracted full name.
Questions about this workflow
What does the name action return?
Dadata ru can standardize and parse a full name, detect gender and return grammatical cases.
Does this require a special Affinda trigger?
No. Affinda exposes no trigger events in this package, so the workflow starts with a Notis webhook.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Affinda to Dadata ru. A trigger fires from one place; an action lands in another.
Affinda 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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Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
Affinda and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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