Lesson 9: FFmpeg in Any Language - Learn FFmpeg Course

The Command Is the Hard Part. You Already Know It.

You've spent this course learning what actually matters: how FFmpeg commands are structured, which flags and filters to reach for, and how to transcode, resize, extract audio, add watermarks, and burn in captions. That knowledge is the same no matter where the command runs.

In the last two lessons you saw how to run those same commands through the FFmpeg Micro API instead of your own machine. This lesson ties it together: the API is just HTTP and JSON, so calling it from Node.js, Python, PHP, Go, Ruby, or anything else is the same idea every time. There's no language-specific SDK to master and no new FFmpeg syntax to relearn.

Same Job, Any Language

A job is one POST request with a JSON body, then a poll for status, then a download. Here's the exact same transcode expressed three ways. Notice the FFmpeg options are identical every time. Only the HTTP client changes.

curl

curl -X POST https://api.ffmpeg-micro.com/v1/transcodes \ -H "Authorization: Bearer $FFMPEG_MICRO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "inputs": [{"url": "https://storage.example.com/input.mp4"}], "outputFormat": "mp4", "options": [ {"option": "-c:v", "argument": "libx264"}, {"option": "-crf", "argument": "23"} ] }'

Node.js

const res = await fetch("https://api.ffmpeg-micro.com/v1/transcodes", { method: "POST", headers: { Authorization: `Bearer ${process.env.FFMPEG_MICRO_API_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ inputs: [{ url: "https://storage.example.com/input.mp4" }], outputFormat: "mp4", options: [ { option: "-c:v", argument: "libx264" }, { option: "-crf", argument: "23" }, ], }), }) const job = await res.json()

Python

import os, requests res = requests.post( "https://api.ffmpeg-micro.com/v1/transcodes", headers={"Authorization": f"Bearer {os.environ['FFMPEG_MICRO_API_KEY']}"}, json={ "inputs": [{"url": "https://storage.example.com/input.mp4"}], "outputFormat": "mp4", "options": [ {"option": "-c:v", "argument": "libx264"}, {"option": "-crf", "argument": "23"}, ], }, ) job = res.json()

Three languages, one API, and the FFmpeg command you already know. If your language can make an HTTP request and parse JSON, it can drive FFmpeg Micro.

Go Deeper: The Node.js Course

If you write JavaScript or TypeScript, the full Node.js course walks through a real integration end to end: uploading your video, creating a job, polling for results, converting formats, extracting audio, generating thumbnails, batching, and hardening it for production.

FFmpeg with Node.js

A hands-on, code-first course that turns everything you've learned here into a working Node.js integration.

Start the Node.js course

Guides for Your Language

Pick the guide that matches your stack. Each one shows how to upload, process, and download media through the API in that language. The FFmpeg command stays the same. Only the HTTP client changes.

Node.js TypeScript Deno Python PHP Ruby on Rails Java Kotlin Go Rust C#

Prefer No Code?

You don't have to write a single line to run these jobs. FFmpeg Micro plugs into the popular automation platforms, so you can build a video pipeline visually and still use the exact commands you learned in this course.

Key Takeaways

The FFmpeg commands you learned are the real skill, and they carry over to every language
The API is just HTTP and JSON, so the same job runs identically from Node.js, Python, or anything else
There's no language-specific FFmpeg syntax to relearn, only a standard HTTP request
The Node.js course is the deep dive if you write JavaScript or TypeScript
No-code platforms like Make, n8n, and Zapier run the same jobs without any code

FFmpeg in Any Language