Rendobar vs FFmpegAPI logo

Comparison · FFmpeg as a service

Rendobar vs FFmpegAPI

Rendobar is the better pick for most developers. Your bill follows compute time alone, where GB-seconds multiply file size by processing time and grow fast on large, long jobs. You paste a whole command instead of splitting it into options arrays, and inputs go up to 10 GB on a $9/mo plan. FFmpegAPI's edge is AI endpoints that process a file from a plain-English instruction.

FFmpegAPI (ffmpeg-api.com, not to be confused with ffmpegapi.net) and Rendobar both run FFmpeg behind an API with a hosted MCP server. Rendobar takes the command string you already run, bills the seconds of compute it uses rather than GB-seconds, publishes a 9 hours job limit, and adds captions, timelines, compression, and image jobs on the same key.

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Verdict

The short answer

Pick the side that matches how you work.

Pick Rendobar if

  • Your files are large or your jobs are long. GB-seconds are (input GB + output GB) × processing seconds, so a 1 GB source that takes ten minutes is at least 600 GB-seconds, more than the whole 500 in the $11 Starter plan.
  • You already have a working command. Rendobar runs the string as written. FFmpegAPI takes a task object with inputs, outputs, and options arrays you rebuild from it.
  • Your inputs are big. Rendobar Pro takes files up to 10 GB for $9/mo. FFmpegAPI allows 500 MB on Starter ($11), 1 GB on Pro ($39), and 5 GB on Growth ($99).
  • You want outputs delivered to your own S3, R2, or Supabase bucket rather than downloaded from the vendor.
  • You'll need more than FFmpeg: animated captions, JSON timeline renders, target-size compression, or AI images on one key.

Pick FFmpegAPI if

  • You'd rather describe the edit in plain English and let the API work out the FFmpeg, with no agent in between.

Last updated . Maintained by the Rendobar team. Spotted something out of date or wrong? Email [email protected] .

Scenarios

5 real builds. Who we'd pick.

For each one, the API we'd actually reach for, and the reason. No hedging.

Pick Rendobar

You have a working FFmpeg command and a pile of files

On FFmpegAPI you register each file, upload it to a presigned URL, and send a task with inputs, outputs, and options arrays. Public HTTPS inputs skip the upload. On Rendobar you send the command you ran locally, input URLs inline, in one POST to /jobs. The $5 signup credit needs no card, and a free job runs for up to 1 hour.

Pick Rendobar

You want a bill that does not scale with file size

FFmpegAPI's own docs say processing time can vary with system load, and GB-seconds multiply that time by the size of every input and output. A heavy file costs twice over, once for its size and again for the time it takes. Rendobar bills compute per second and nothing for file size, so cost tracks the work you asked for.

Pick Rendobar

Your pipeline has more than a transcode in it

FFmpegAPI covers FFmpeg and FFprobe. Rendobar runs those and also word-level animated captions, JSON timeline renders, compression to a target size or quality, and image generation, editing, and upscaling, with one job's output fed straight into the next.

Pick Rendobar

Your agent needs to run media work from a chat

Both run a hosted MCP server over OAuth that claude.ai, ChatGPT, and Cursor connect to. FFmpegAPI's tools cover FFmpeg, FFprobe, plain-English processing, and file management. Rendobar's add animated captions, timeline renders with a validator, target-size compression, and image jobs, plus chaining between jobs.

Pick FFmpegAPI

You don't want to write FFmpeg at all

FFmpegAPI has AI endpoints that take an instruction like "convert to 720p MP4 with good compression" and do it, in beta at no extra charge beyond compute. On Rendobar you write the command, or let an AI agent write it through the MCP server. If you want a plain HTTP call that takes English, FFmpegAPI has it.

Compare

Feature matrix

16 capabilities, grouped. Where a Rendobar capability is on the roadmap rather than live today, it says so.

Feature Rendobar FFmpegAPI
Developer experience and agents
How you describe the jobThe full FFmpeg command string, as you run it locallyTask JSON: inputs, outputs, options arrays, filter_complex
Plain-English processingThrough an AI agent on the MCP serverAI endpoints for FFmpeg and FFprobe (beta)
MCP for AI agentsHosted, OAuth: FFmpeg, captions, timelines, compression, images, chainingHosted, OAuth: FFmpeg, FFprobe, plain-English processing, files
Typed SDK@rendobar/sdk with realtime status and webhook verificationNot published, REST from any language
CLIThe rb binary, for terminals and CINot published
WebhooksEvery plan, HMAC-signed, retried up to 5 timeswebhook_url on async jobs
Where FFmpegAPI wins: AI endpoints that process a file from a plain-English instruction over plain HTTP, at no extra charge while in beta.
Pricing and free tier
Billing unitPer second of computeGB-seconds: (input + output GB) × processing seconds
What drives the billCompute time onlyFile size × processing time, which varies with system load
Free tier$5 credit, no card, never expiresFree plan, quota not published
Paid plan entry price$9/mo (Pro)$11/mo (Starter, 500 GB-seconds)
Capabilities and limits
Max job runtime1 hour (Free), 9 hours (Pro)Not published
Max input file500 MB (Free), 10 GB (Pro)500 MB (Starter), 1 GB (Pro), 5 GB (Growth)
Job types beyond FFmpegCaptions, JSON timeline compose, target-size compression, ffprobe, image generate, edit, and upscaleFFprobe analysis
Deliver to your own bucketS3 (IAM role, no access key), R2, Supabase, S3-compatibleNot published, outputs come back as a download URL
No-code automationVerified n8n node, Activepieces piece, webhooks for Zapier and Maken8n and SmythOS guides
GPU encodingNVENC on NVIDIA L4 for H.264, HEVC, and AV1 (Pro)Not published

Pricing

Pricing math: 400 five-second clips a month

The measured workload from our FFmpeg API pricing comparison: 400 short 720p clips a month, each a quick re-encode. Rendobar's figure comes from real billed jobs. FFmpegAPI's comes from its pricing page.

Rendobar (ffmpeg)

~$1.00/mo

400 × $0.0025, the median cost of our last 425 FFmpeg jobs. No base fee on Free, and the $5 signup credit covers several months of it.

FFmpegAPI Starter

$11/mo

500 GB-seconds a month. This workload uses a small fraction of that. Its free plan might cover it, but the free quota is not published.

Short jobs on small files are where GB-seconds look best, and the entry plan still costs more than the work. The unit gets expensive as files grow, because size and time multiply.

Take 100 jobs a month on 1 GB sources that each take ten minutes to process. That is at least 60,000 GB-seconds, twelve times the 5,000 in FFmpegAPI's $99 Growth plan, with no published overage rate. Rendobar bills the compute time and nothing for file size.

How we got these numbers
  • Rendobar at the $0.0025 median of our last 425 FFmpeg jobs, nearly all of them on a 5-second 720p sample clip.
  • FFmpegAPI: GB-seconds = (input GB + output GB) × processing seconds, rounded to 0.01. Starter $11 for 500, Pro $39 for 2,000, Growth $99 for 5,000, from its pricing page on 2026-09-27.
  • Base fees excluded from the Rendobar figure. Rendobar Free has none and Pro is $9/mo with $5 of included credit.

FAQ

Questions we actually get asked

Is FFmpegAPI or Rendobar cheaper?

For short jobs on small files the two are both cheap, and Rendobar has no entry plan to buy: 400 five-second clips a month cost about $1.00 against FFmpegAPI's $11 Starter. For large files the gap widens, because GB-seconds multiply file size by processing time. One 1 GB file that takes ten minutes is at least 600 GB-seconds, more than the 500 in Starter.

Is FFmpegAPI the same as ffmpegapi.net?

No. FFmpegAPI is ffmpeg-api.com, which runs FFmpeg tasks billed in GB-seconds. ffmpegapi.net is a different service that exposes task endpoints billed per call. This page compares Rendobar with ffmpeg-api.com.

Can I send a raw FFmpeg command to FFmpegAPI?

You send FFmpeg options, not one command string. A task lists inputs by file path or URL, outputs by file name, and the flags for each as an options array, with filter_complex and maps where needed. Rendobar takes the command exactly as you'd type it in a terminal.

Both have hosted MCP servers. What's the difference?

Both connect to claude.ai, ChatGPT, and Cursor over OAuth and run real work. FFmpegAPI's tools cover FFmpeg, FFprobe, plain-English processing, and file management. Rendobar's cover FFmpeg and FFprobe plus animated captions, JSON timeline renders with a validator, target-size compression, and image generation, and let one job feed the next.

Can I try each without paying?

Both have a free option. FFmpegAPI has a free plan and says you start with free credits, but it doesn't publish the amount. Rendobar gives $5 of credit with no card that never expires. At our median of $0.0025 per FFmpeg job, that is roughly 2,000 short jobs.

How hard is it to switch from FFmpegAPI to Rendobar?

Small. Each task becomes one FFmpeg command: the input paths become -i URLs, each output's options array becomes the flags before its file name. There is no directory or upload step to recreate for files already at an HTTPS URL. Outputs are plain files at a URL or in your own bucket, so nothing downstream is tied to Rendobar.

What does FFmpegAPI do better than Rendobar?

Plain-English processing over plain HTTP. Its AI endpoints take an instruction and a file and return the result, in beta at no extra charge beyond compute, and its web chat helps write FFmpeg syntax. If nobody on your team wants to write FFmpeg, that is a real convenience.

Why pick Rendobar over FFmpegAPI?

A bill that follows compute time, not file size, your FFmpeg command as written, inputs up to 10 GB and jobs up to 9 hours on a $9/mo plan, delivery to your own bucket, signed webhooks, and captions, timelines, compression, and images on the same key and MCP server.

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Run your first job free

$5 of credit on signup, no card. FFmpeg, captions, timelines, and images on one API key, and credits that never expire.

Get started free See pricing