Developer Tools

Rendobar

Serverless media processing API — run FFmpeg commands, burn animated captions, and generate images in the cloud without managing servers.

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rendobar.com

Verified API available Works with n8n Free tier

Quick facts
What is it	Serverless media processing API — run FFmpeg commands, burn animated captions, and generate images in the cloud without managing servers.
Pricing	Freemium — from $9/mo
Free tier	Yes
Platform	API
API	Yes
Works with	n8n
Best for	transcoding and trimming videos with FFmpeg, burning word-level animated captions into videos
Domain registered	2026

Data updated Sept. 19, 2026

What does Rendobar do?

Rendobar is a serverless media processing API built for developers who need video and image work done without owning the compute. You send a job with your inputs, and Rendobar runs it on isolated cloud workers, then returns the output via webhook or polling. There are no servers to provision, no containers to build, and no scaling to manage. The platform handles provisioning, the media toolchain, sandbox isolation, scaling, and cleanup — you just send the job and get the result.

What makes Rendobar stand out is its flexibility. You can run any FFmpeg command for transcoding, trimming, concatenating, format conversion, scene detection, and metadata extraction. It also offers word-level animated captions that are auto-transcribed from your video — no script needed — and can translate captions into any language. For image work, there's a text-to-image generation endpoint. Rendobar integrates with AI agents through Model Context Protocol (MCP) servers, so you can wire it into Claude, Cursor, or Zed and have agents call jobs as native tools. You get signed webhooks when jobs finish, or live SSE streaming for real-time updates.

Pricing is usage-based — you pay only for what you render. The free tier includes $5 in one-time signup credits with no card required, and Pro adds monthly credits plus a bonus on every top-up. Jobs run in ephemeral, sandboxed containers that are destroyed when finished, so inputs aren't kept. Outputs are stored for 7 days on the free tier and 30 days on Pro, then removed. Rendobar doesn't train models on your media. This is a solid fit for developers building video pipelines, content tools, or AI agent workflows that need reliable media processing without infrastructure headaches.

AI API AI inference Developer Tools

Key features

What makes it stand out

Run any FFmpeg command in the cloud — no servers to provision or scale, pay only for what you render

Burn word-level animated captions into videos with auto-transcription and translation into any language

Generate images from text prompts with a dedicated endpoint

Integrate with AI agents via MCP servers — hosted at api.rendobar.com/mcp or local npm package for Claude Desktop, Cursor, and Zed

Get signed webhooks when jobs finish, or stream live updates over SSE

Who is Rendobar for?

Who benefits most from this tool

transcoding and trimming videos with FFmpeg

burning word-level animated captions into videos

generating images from text prompts

Pricing

Free tier available — start without a credit card

Free

1 hour job timeout
500 MB max file size
50 queued backlog
1 concurrent jobs
7 days output retention
120 requests per min
Webhooks
MCP access
CLI & SDKs
Priority queue

Pro

$9/month

9 hours job timeout
10 GB max file size
1,000 queued backlog
20 concurrent jobs
30 days output retention
600 requests per min
Webhooks
MCP access
CLI & SDKs
Priority queue

Scale

Custom

Higher concurrency
Higher rate limits
Larger file uploads
Longer job timeouts
Extended retention
Webhooks
MCP access
CLI & SDKs
Priority queue
Batching
Workflows

Trust & presence

Domain Domain registered 2026

Gallery

Click any image to enlarge

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