Use case

Video SaaS Platforms

Run FFmpeg at scale for your video SaaS product. User uploads land, transcodes fan out to multiple resolutions, and you never manage a worker fleet. Per-GB pricing, 6-hour runtimes, 99.99% SLA.

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Pain points

Commands

Links

Outcome

Your users upload. We transcode. You ship features.

Engineering teams building video SaaS products — video editors, hosting platforms, screen recorders, webinar tools, and any app where users upload video.

step 01Multi-resolution transcode

step 02HLS adaptive bitrate packaging

step 03Format normalisation

Problem

Video infra should not own your roadmap

Worker fleet overhead

Every video SaaS eventually hits the same wall: you're running a fleet of FFmpeg workers, managing queues, scaling EC2 instances, and paying for idle capacity. That's engineering time not spent on your product.

Unpredictable traffic patterns

Video uploads spike on weekends, during product launches, and when a user goes viral. Provisioning for peaks means paying for idle servers; provisioning for average means dropped jobs during spikes.

Format compatibility hell

Users upload every format imaginable — .mov, .avi, .mkv, .webm, .hevc, .mts from cameras. Building a transcode pipeline that handles them all is a never-ending maintenance burden.

Why us

Raw FFmpeg power without the worker fleet

Usage-based pricing means your costs track user activity — no idle servers

6-hour job runtime handles the longest 4K uploads in a single job

99.99% SLA with service credits — your users never see a failed transcode

Dedicated 16 vCPU/32 GB hardware per job — no noisy neighbours

GPU self-serve for H.265/AV1 encodes when users demand next-gen codecs

Real-time log streaming so you can debug transcode issues in your own dashboard

Command chaining for multi-bitrate HLS packaging in one API call

Role-based team access so your ops team can monitor without touching code

Commands

Common FFmpeg commands for Video SaaS Platforms

ffmpeg

Multi-resolution transcode

Fan out one upload into web, mobile, and thumbnail outputs — all in one request.

-i {{input}} \
  -vf scale=1920:1080 -c:v libx264 -crf 23 {{1080p.mp4}} \
  -vf scale=1280:720 -c:v libx264 -crf 23 {{720p.mp4}} \
  -vf scale=854:480 -c:v libx264 -crf 23 {{480p.mp4}} \
  -ss 00:00:05 -vframes 1 {{thumb.jpg}}

ffmpeg

HLS adaptive bitrate packaging

Generate HLS segments with multiple quality levels for adaptive streaming to any device.

-i {{input}} \
  -filter_complex "[0:v]split=3[v1][v2][v3];[v1]scale=1920:1080[v1out];[v2]scale=1280:720[v2out];[v3]scale=854:480[v3out]" \
  -map "[v1out]" -c:v:0 libx264 -b:v:0 5000k \
  -map "[v2out]" -c:v:1 libx264 -b:v:1 2800k \
  -map "[v3out]" -c:v:2 libx264 -b:v:2 1400k \
  -f hls -hls_time 6 -hls_playlist_type vod {{master.m3u8}}

ffmpeg

Format normalisation

Normalise all uploads to a consistent H.264/AAC MP4 container.

-i {{input}} -c:v libx264 -crf 23 -preset medium -c:a aac -b:a 128k -movflags +faststart {{normalised.mp4}}

It's actually not bad.

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-i {{input}} \ -vf scale=1920:1080 -c:v libx264 -crf 23 {{1080p.mp4}} \ -vf scale=1280:720 -c:v libx264 -crf 23 {{720p.mp4}} \ -vf scale=854:480 -c:v libx264 -crf 23 {{480p.mp4}} \ -ss 00:00:05 -vframes 1 {{thumb.jpg}}

-i {{input}} \ -filter_complex "[0:v]split=3[v1][v2][v3];[v1]scale=1920:1080[v1out];[v2]scale=1280:720[v2out];[v3]scale=854:480[v3out]" \ -map "[v1out]" -c:v:0 libx264 -b:v:0 5000k \ -map "[v2out]" -c:v:1 libx264 -b:v:1 2800k \ -map "[v3out]" -c:v:2 libx264 -b:v:2 1400k \ -f hls -hls_time 6 -hls_playlist_type vod {{master.m3u8}}