Popular ngram + Floworg AI flows

Start from a real workflow other teams are already running.

Choose a trigger

ngram logo

ngram

When this happens...

Choose an action

Floworg AI logo

Floworg AI

Automatically do this!

Full list

Supported Triggers & Actions

Everything you can automate between ngram and Floworg AI.

When this happensTriggers

A trigger is an event that starts a workflow.

When a video is completed

When a video is completed

Runs the workflow automatically whenever a video is completed.

Request a new Trigger for ngram

Do thisActions

Action is the task that follows automatically within your ngram integrations.

View Video Status

View Video Status

View a video's processing state and progress (queued, processing, failed, or ready to download).

Create Video From Text

Create Video From Text

Create an on-brand video from a text prompt; set duration and aspect ratio, and optionally send a webhook when the video is ready.

Add Tag By Name To User

Add Tag By Name To User

Add tag by name to specific user

Add Tag To User

Add Tag To User

Add a tag to a specific user

Broadcast Sub flow To User

Broadcast Sub flow To User

Broadcast sub flow by user ns list

Clear User Field

Clear User Field

Clears the user variable field value

How to build your first workflow with viaSocket
2-Minute Guide

Learn how to build your first workflow

Follow a simple walkthrough to create, test, and launch your first automation.

  1. 1

    Connect your apps

    Link the apps you want to automate.

  2. 2

    Configure your workflow

    Set up triggers, actions, and map your data.

  3. 3

    Test & publish

    Test your workflow and publish it.

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Integrations ngram
ngram + Floworg AI
ngram logo

About ngram

Ngram is an AI-powered video creation platform for product and marketing teams. It turns docs, URLs, PDFs, images, and screen recordings into polished, on‑brand videos by handling research, storyboarding, scripting, voiceover, and motion graphics while you control audience, goal, style, and length. Features include brand kits, captions, multi-aspect exports (16:9, 9:16, 1:1), and upcoming smart screen-recording edits—ideal for product demos, feature announcements, explainers, onboarding, and social clips.

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Integrations Floworg AI
Floworg AI + ngram
Floworg AI logo

About Floworg AI

Floworg AI is an advanced AI-driven platform designed to streamline and enhance organizational workflows. By leveraging cutting-edge artificial intelligence, Floworg AI helps businesses automate routine tasks, optimize processes, and improve overall efficiency. Whether you're managing projects, coordinating teams, or handling complex data, Floworg AI provides the tools you need to stay ahead in a competitive market.

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Frequently Asked Questions

How do I connect ngram and Floworg AI?

Sign up for a free viaSocket account, then authorize both your ngram and Floworg AI accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.

Does this integration work in real time?

Yes. viaSocket uses instant triggers where available, so data moves between ngram and Floworg AI as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.

Can I control which data gets sent from ngram to Floworg AI?

Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Floworg AI. No coding required.

Can the integration run in both directions?

Yes. You can set up a workflow where ngram triggers actions in Floworg AI, and a separate workflow where Floworg AI triggers actions in ngram. Both run independently and in real time.

What happens if a step in the workflow fails?

viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.

Is viaSocket free to use?

Yes, there is a free plan that covers basic workflows between ngram and Floworg AI. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.

Do I need to know how to code to set this up?

No. The entire ngram and Floworg AI integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.