Skip to main content

​
Overview

This release introduces Webhook integration for powerful external automation and a comprehensive asset activity log to monitor all user and AI-automated asset actions. Expect smoother workflows with improved face tracking accuracy, streamlined scene exports, and broad stability improvements throughout the platform.

​
What’s new

​
Asset Activity Log in Technical metadata

Track user and automated activities for each asset, complete with precise timestamps, inside the Technical metadata → Activity tab.

​
Tracked activities

  • Upload
  • Rename
  • Status change
  • AI analyzing
  • Transcoding
  • Playback optimization
Asset Activity Log

Asset Activity Log in Technical metadata

The asset activity log records actions only for assets uploaded following this release; assets added earlier will not have activity history.

​
Webhook Integration

Connect Tessact to your automation workflows via outgoing webhooks. Use popular providers like Zapier, n8n, IFTTT, or your own custom endpoint.
1

Set up the webhook on your provider

Using your chosen automation provider (such as Zapier, n8n, or IFTTT), set up a new webhook by creating an endpoint and copying its URL for later use.
Provider webhook configuration

Provider webhook configuration

2

Create a new action from Settings in Tessact

In Tessact, navigate to Settings, then select Actions and click Create New Action.
3

Choose a trigger and select 'Trigger webhook'

Select your desired trigger from the list of available triggers, then choose Trigger webhook as the action to link your workflow.
Setting up webhook trigger

Setting up webhook trigger

4

Configure webhook details

Fill in the webhook name, paste the endpoint URL, specify the watch folder, define the payload, and optionally configure HTTP headers as needed. Then, click Save to finish setup.

​
Triggers

  • Comment added to file (comment text, user email, video url)
  • File status change
  • File uploaded to folder
  • File viewed
  • File downloaded
  • File analyzing started
  • File analyzing complete
More triggers and actions will become available in upcoming releases.

​
Enhancements

  • Face tracking — New algorithm using our latest face detection model for improved accuracy.
  • Scene detection export — Export items as MP4 directly from the AI Detected Metadata tab.
  • Unique content ID — Available for every asset in the Technical metadata tab.
  • Folder deletion — Optimized performance for deeply nested structures.

​
Fixes & Stability

  • Relative due date options — Fixed missing options when creating workflow steps.
  • Video player buttons and fonts — Unified sizes and standardised font.
  • Editor UI — Improved button styling, font consistency, and increased maximum timeline tracks.
  • Audio files metadata — Fixed empty AI Detected tab for video metadata.
  • Toast notifications — Fixed blank messages when multiple toasts were stacked.
  • Multi‑audio track analysis — Fixed failures for videos with multiple audio tracks.
  • Metadata Autofill API — Fixed multi‑select value parsing.