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.
AI Agents
amara
Connector amara · Secure OAuth 2.0
Creating subtitles for a massive video library is slow. Transcription, time-syncing, and translation consume days of work on repetitive tasks.
Main negative impacts:
Delayed publishing timelines
Videos sit idle waiting for subtitles, slowing down release schedules and impacting video SEO.
High production costs
Relying on manual labor for synchronization is a massive drain on your budget.
Translation inconsistencies
Without centralized automation, maintaining consistent terminology across dozens of languages is complex.
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
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.
1
STEP 1 : Configure your transcription agent
Create a Swiftask agent dedicated to processing your media assets. Define target languages and formats.
2
STEP 2 : Link your Amara account
Connect the Amara API to your Swiftask workspace to enable automatic project creation.
3
STEP 3 : Define processing rules
Specify triggers (e.g., cloud folder upload) to automatically launch the workflow to Amara.
4
STEP 4 : Review and publish
Use the Amara interface for a quick final review of the AI-generated segments before publishing.
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.
Process hundreds of videos simultaneously without increasing your headcount.
AI ensures perfect sync, reducing manual adjustment errors.
Centralize your video asset management within a single platform.
Combine the power of LLMs with the precision of human editing on Amara.
Optimize human resources for high-value editing tasks.
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
| 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) |
Move from tedious manual production to a scalable, automated pipeline.