Serverless Transcoding Engine
Auto-scaled Lambda or Fargate workers powered by FFmpeg and queue systems.
Convert and deliver video content across multiple formats and resolutions, automatically and at scale. Whether it’s HLS, DASH or MP4, run transcoding jobs with no manual scaling or workflows delays.
Instant Format Conversions:
Convert large video files into multiple formats in parallel.
FAuto-Scalling Jobs:
Add or reduce processing power automatically based on queue size.
Zero Downtime Delivery:
Ensure seamless output publishing with no processing failures.
Run parallel transcoding jobs using serverless workers.
Convert to HLS, DASH, MP4, WebM and mobile-optimized formats.
Auto-generate resolution variants (4K, 1080p, 720p, etc.)
Optimize encoding time GPU/CPU adaptive strategies via Fargate or Batch.
Queue-based orchestration with real-time status tracking.
Seamless handoff to storage, CDN, or publishing systems.
Auto-scaled Lambda or Fargate workers powered by FFmpeg and queue systems.
Trigger-based workflows for format splitting, resolution, adjustment, and metadata sync.
CDN-ready, platform-ready endpoints to deliver media anywhere.