Automatically tag your video content with EyePop.ai
Swiftask connects your video streams to the power of EyePop.ai computer vision. Identify and tag every object, person, or action instantly.
Result:
Turn raw video files into structured, actionable data without any human intervention.
AI Agents
eyepop.ai
Connector eyepop.ai · Secure OAuth 2.0
Manual video indexing is a major bottleneck
The volume of video content generated daily is exploding. Sorting, tagging, and indexing these files manually is a colossal task, prone to errors, and extremely time-consuming for your teams.
Main negative impacts:
Content search is impossible
Without precise metadata, your video archives are unusable. Finding a specific segment becomes a major time drain.
High operational costs
Dedicating human resources to annotate thousands of hours of video is not economically viable at scale.
Loss of critical insights
Important visual details go unnoticed, limiting the analysis and value of your digital assets.
Swiftask automates your video analysis via EyePop.ai. Each detected object is automatically transformed into a tag, enriching your databases and enabling instant search.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask and EyePop.ai
An operator watches hours of video footage, notes key moments, and creates tags manually in a spreadsheet or DAM. The process takes days, is inconsistent across team members, and data is often outdated by the time it's created.
With Swiftask + EyePop.ai
As soon as a video is uploaded, the Swiftask workflow sends it to EyePop.ai. The AI analyzes frames, identifies elements, and returns exact tags directly to your management system. Your videos are indexed and ready to use in minutes.
Implementing intelligent tagging
1
STEP 1 : Configure your pipeline in Swiftask
Define the sources of your video files (Cloud, FTP, API) within Swiftask.
2
STEP 2 : Connect the EyePop.ai API
Integrate your EyePop.ai credentials to enable computer vision capabilities on your Swiftask instance.
3
STEP 3 : Define tagging rules
Specify the objects or behaviors the AI should detect and the desired output format for the tags.
4
STEP 4 : Automate the data flow
Activate the workflow so every new video is processed, tagged, and classified automatically in your database.
Advanced visual analysis capabilities
The integration allows for frame-by-frame analysis, detecting static objects, movement, faces, or specific areas of interest based on your trained models.
- Target connector: The agent performs the right actions in eyepop.ai based on event context.
- Automated actions: Real-time object detection, automatic metadata generation, category classification, precise timestamp export, direct integration with your business tools.
- Native governance: Swiftask orchestrates the process from end to end, ensuring seamless flow between file reception and index updates.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-eyepop.ai@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why automate your video tagging
Increased precision
EyePop.ai's AI ensures tagging consistency impossible to achieve with human operators.
Massive time savings
Reduce indexing time from days to seconds per video.
Asset valuation
Make your video libraries instantly searchable with structured tags.
Unlimited scalability
Handle growing data volumes without increasing staff costs.
Unified workflow
Centralize your AI vision processes within your Swiftask ecosystem.
Data security and privacy
Swiftask applies enterprise-grade security standards for your eyepop.ai automations.
- Secure processing: Your videos are processed via encrypted connections between Swiftask and EyePop.ai.
- Privacy compliance: Detection models are configured to meet the strictest compliance standards.
- Access governance: Precisely control who can access tagging results within your platform.
- Data integrity: Generated metadata is injected directly into your systems without altering your source files.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Automation performance
| Metric | Before | After |
|---|---|---|
| Processing time | Hours per video | Seconds |
| Tagging precision | Variable (human error) | High (trained AI) |
| Cost per video | High (labor) | Low (automation) |
| Search capability | Limited to titles | Granular (by object/scene) |
Take action with eyepop.ai
Turn raw video files into structured, actionable data without any human intervention.