What is Rendobar?
Rendobar is a serverless API for running FFmpeg commands in the cloud. You POST a job with your FFmpeg command and input URLs, we run it on isolated workers, and return the output via webhook or polling. No infrastructure to manage, no container builds, no scaling concerns. Built for developers who need video processing without owning the compute.
What can I do with the Rendobar API today?
The API runs raw FFmpeg commands — anything FFmpeg can do, you can do via POST /jobs with type "raw.ffmpeg". That covers transcoding, watermarking, trimming, concatenating, format conversion, scene detection, and metadata extraction. Higher-level job types (managed watermarks, AI captions, GDPR redaction) are on the roadmap but not yet user-facing.
How is Rendobar priced?
Free tier includes $5 of one-time signup credits with no credit card required. Pro is $9/month and adds $5/month in included credits plus a 20% bonus on every credit top-up. Credit packs from $10 to $100. Credits never expire and failed jobs are always refunded. Pricing is per-job based on compute time and output size.
Do I need to manage FFmpeg infrastructure?
No. Rendobar handles container provisioning, FFmpeg installation, sandbox isolation, scaling, and cleanup. Each job runs in an ephemeral Trigger.dev container with protocol whitelisting and automatic timeout. You write the FFmpeg command — we handle input download, execution, output upload, and delivery.
How does Rendobar compare to Shotstack and Creatomate?
Rendobar gives you direct FFmpeg access — write the actual command, get the actual output. Shotstack and Creatomate use JSON timeline abstractions that hide FFmpeg behind a templating layer. Rendobar is for developers who already know FFmpeg or want full control. Shotstack and Creatomate fit designers building from visual templates. Full comparisons at rendobar.com/vs/.
Is the API MCP-compatible for AI agents?
Yes. Rendobar ships an MCP (Model Context Protocol) server with 6 tools: submit_job, get_job, list_jobs, probe_media, get_account, upload_media. Claude, GPT, and other MCP-aware agents can submit and monitor video processing jobs natively. Authentication via API key.