FFmpeg as a service, without handing anyone a shell.
KinoPipe is a video editing tool for AI agents. Underneath, it runs FFmpeg 9 on managed workers and exposes it as typed video editing operations. Your product or AI agent sends a validated request and receives a downloadable file: no FFmpeg install, no command strings, no video infrastructure.
A shell wrapper trusts the caller. KinoPipe validates the request.
Most hosted FFmpeg products accept command strings. That works until the caller is a language model: one hallucinated flag and you are debugging injection, runaway encodes or malformed outputs. KinoPipe validates operation types, dimensions, time ranges and input references before a job is queued.
8.2s
p50 render for a 1080p H.264 edit
100%
success rate across 325 benchmark runs
0
shell commands accepted
FFmpeg 9 render benchmark, August 2026: cold, warm and burst phases on production recipes. Read the full report: CPU vs GPU, cold starts, cost per job.
Call it from code, workflows or agents.
Honest comparisons before you choose.
Running FFmpeg yourself means compiling and patching it, sizing workers, securing input URLs against SSRF and babysitting a queue (the commands themselves are the easy part: see the FFmpeg command reference). If you would rather manage that surface, or need a different editing model, these comparisons say when to pick someone else.