The Video Item Extraction task allows you to automatically extract items from videos and organize them into structured entries within your template. By configuring this task, you define where videos are sourced from and how extracted data is stored.
⚙️ Key Features
- Extracts items from video content automatically
- Creates structured entries in a selected field group
- Maps extracted data to specific fields
- Customizable task name for easier identification
🪜 Step-by-Step Instructions
- Navigate to the AI Workflow configuration
- Add or edit a Video Item Extraction task
3. Enter a name for the task
- Default: Video Item Extraction
4. Select the field key that contains the video to process
- Example: video
The Field Key is a unique identifier for each field within a template. The field key can be found within the template configuration (see: Adding & Editing Fields: Field Key), or by hovering over the field name in the project page (see: Field Information: Field Key and Last Updated). Field keys are case sensitive and must match exactly in any use case.
5. Select the field group key where extracted items will be added
- Example: items
6. Configure field mappings for extracted data
- Location → eg. issue_location
- Issue → eg. issue_description
- Subject → eg. issue_name
7. Save the task configuration
8. Run the workflow to process videos and generate items
🧩 Additional Details
- The task uses your template structure to determine where items are created
- Each extracted item is added as a new entry in the selected field group
- Field mappings ensure extracted values are placed into the correct fields automatically
- The task name helps differentiate this task from others in your workflow
✅ Summary
The Video Item Extraction task automates the process of turning video content into structured, actionable items. With proper configuration, extracted data is organized and ready for use within your template.
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