Swiftask automates the workflow between your video content and Amara. Slash production times while maintaining professional quality.
Result:
Move from tedious manual production to a scalable, automated pipeline.
The manual subtitling bottleneck
Creating subtitles for a massive video library is slow. Transcription, time-syncing, and translation consume days of work on repetitive tasks.
Main negative impacts:
Swiftask connects your AI agents to Amara. The AI generates, calibrates, and translates, while Amara provides the collaborative editing interface, creating a high-performance pipeline.
BEFORE / AFTER
What changes with Swiftask
Traditional workflow
Manual video export, external transcription, import into Amara, manual time adjustments, line-by-line translation. A fragmented process consuming massive human hours.
Swiftask + Amara workflow
As soon as a video is ready, Swiftask triggers an AI agent that sends the file to Amara. Subtitles are pre-generated and synced automatically. Your team only intervenes for final review.
Automate your subtitling in 4 steps
STEP 1 : Configure your transcription agent
Create a Swiftask agent dedicated to processing your media assets. Define target languages and formats.
STEP 2 : Link your Amara account
Connect the Amara API to your Swiftask workspace to enable automatic project creation.
STEP 3 : Define processing rules
Specify triggers (e.g., cloud folder upload) to automatically launch the workflow to Amara.
STEP 4 : Review and publish
Use the Amara interface for a quick final review of the AI-generated segments before publishing.
Key integration features
The agent analyzes audio tracks for precise time-segmentation and adapts tone to specific language requirements.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-amara@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 choose this combination?
1. Increased scalability
Process hundreds of videos simultaneously without increasing your headcount.
2. Timecode precision
AI ensures perfect sync, reducing manual adjustment errors.
3. Unified workflow
Centralize your video asset management within a single platform.
4. Linguistic quality
Combine the power of LLMs with the precision of human editing on Amara.
5. Drastic cost reduction
Optimize human resources for high-value editing tasks.
Security and privacy
Swiftask applies enterprise-grade security standards for your amara automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance metrics
| Metric | Before | After |
|---|---|---|
| Average processing time | Several hours per video | A few minutes |
| Production volume | Limited by headcount | Unlimited |
| Sync errors | Frequent | Minimal |
| Operational ROI | Negative (high costs) | Positive (massive time savings) |
Take action with amara
Move from tedious manual production to a scalable, automated pipeline.