Connect Template To and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
New Template
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Template
Triggers when a new template is created.
Do thisActions
Action is the task that follows automatically within your Template To integrations.
Create File
Creates a PDF or Text files based on the template and data passed provided.
Create Template
Create an existing template.
Import to Classifier
Import data to your Nyckel classifier
Classify
Classify image or text data
Center Detect
Detect Objects center in images
Train Classifier
Train your Nyckel classifier by adding more data
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Frequently Asked Questions
To start, connect both your Template To and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Template To triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Template To data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Template To and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Template To and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Template To
TemplateTo allows you to easily create Liquid-based templates for your documents. Utilise our drag-and-drop editor or provide your HTML.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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