Overview
The Multi-Platform Metadata Engine within the New Spark Media Platform empowers users to define, manage, and map metadata fields with extreme precision and flexibility — enabling seamless content delivery to third-party platforms such as Widen, Brightcove, YouTube, and more.
Designed with scalability in mind, this system allows for both manual configuration and automated metadata transformations, ensuring content is always tagged correctly and compliant with destination requirements.
Key Features
Dynamic Field Types
Users can choose from a wide variety of metadata field types to match the needs of their destination systems:
| Field Type | Description |
|---|---|
| Text Field | Simple single-line input |
| Text Area | Multi-line text field |
| Check Box | Boolean toggle |
| Drop Down List | Predefined list with single-select option |
| Multi Select | Select multiple items from a list |
| Date Field | Date-specific input |
| Numeric | Number-only input |
| Free Form | Arbitrary user-defined data |
These are all easily selected from a compact UI dropdown during field creation.
Field Configuration Interface
Each field row includes customizable options:
- Label / Key Name: Define the field’s label and reference key.
- Default Value: Pre-populate fields where applicable.
- Max Size: Set character or file size constraints.
- Group: Assign fields to metadata groups (e.g., by language or campaign).
- Type: Specify the destination platform (Widen, Brightcove, YouTube, etc.).
- Source: Define where the metadata comes from:
- Manual: Manually entered by users
- Derived: Auto-filled from other fields or logic
- External API: Pulled from a remote system
💡 Fields can be reordered using drag handles or up/down arrows for UI clarity.
Flexible Metadata Grouping
New Spark Media’s metadata system allows you to organize fields into named groups, enabling streamlined management across a wide variety of use cases. Common group types include:
- Language-based (e.g., Playlist – Español, Playlist – Français, Playlist – 日本語, Playlist – Türkçe)
- Brand-specific configurations
- Platform-focused schemas (e.g., YouTube, Brightcove, Widen)
- Campaign or region-specific metadata sets
This flexible grouping ensures metadata remains relevant, maintainable, and easy to navigate—especially when managing large libraries of multilingual or multi-brand content.
Interactive Quizzes with Metadata
Beyond content tagging, New Spark’s metadata system can power interactive quizzes. By configuring metadata fields with:
- A question (via label),
- One or more answer choices (via field options),
- A designated correct answer,
- And connecting via our API,
You can validate user responses in real-time—perfect for learning modules, compliance training, or audience engagement campaigns.
This metadata-driven quiz engine is ideal for scenarios where content personalization and feedback loops are key.
Source-Specific Mappings
Fields can be scoped to a specific platform, ensuring only relevant metadata is sent. For example:
- Fields only visible for Widen
- YouTube-specific fields like
Playlist,Tags,Privacy - Brightcove metadata such as
Player ID,Video Category
Advanced Field Settings
When expanded, each field can include advanced options like:
- Required for filetypes: Comma-separated list of file extensions for which this field is mandatory (e.g.,
mp4,mov). - Remove New Lines: Toggle to sanitize text fields before export (helpful for XML-based platforms or strict schemas).
Real-Time Metadata Mapping
Our system supports dynamic expressions such as:
{$media.filename}
{$metadata.title}
{$metadata.language}
These are parsed at runtime, ensuring that metadata is generated with up-to-date values from the uploaded file and platform context.
Save & Sync
All field changes can be saved with a single Save Changes button — instantly updating the configuration for current and future uploads.
Example: Brightcove Metadata Set
| Field | Type | Values |
|---|---|---|
| Filename | Text Field | {$media.filename} |
| Video Category | Multi Select | Sports, News, Weather, etc… |
| Project Owner | Drop Down | Internal Production Lead, etc. |
| Asset Type | Drop Down | Video, Script, Audio, etc. |
| Request ID | Text Field | Optional manual entry |
| Music License | Text Field | Optional manual entry |
Each field is linked to Brightcove, set for Manual input, and optionally grouped by playlist or language.
Summary
The New Spark Media Metadata Handling System is a powerful tool for:
- Structuring media metadata for multiple destinations
- Localizing and customizing metadata sets
- Automating metadata population with source-aware fields
- Maintaining platform compatibility through conditional formatting
It’s built to scale from simple campaigns to multi-language enterprise content syndication.
Need help configuring your metadata rules?
Reach out to support@newspark.io
See also Workflow Solution