Integration playbook

Very Good FFmpeg + Pipedream

Connect Very Good FFmpeg to Pipedream for code-first video processing automation. Write Node.js, Python, or Go workflows that trigger FFmpeg commands programmatically.

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Setup steps

Use cases

Runtime

6 hrs

workflow.jsonPOST /api/ffmpeg

import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const response = await axios.post(
      "https://verygoodffmpeg.com/api/ffmpeg",
      {
        input_files: { input: steps.trigger.event.body.file_url },
        output_files: ["output.mp4"],
        ffmpeg_commands: ["-i {{input}} -c:v libx264 -crf 23 {{output.mp4}}"]
      },
      {
        headers: {
          Authorization: `Bearer ${process.env.VGF_API_KEY}`,
          "Content-Type": "application/json"
        }
      }
    )
    return response.data
  }
})

Trigger

Pipedream event

→

Request

POST /api/ffmpeg

→

Result

Processed video files

About Pipedream

Connect the trigger. Run the command.

Pipedream is a code-first integration platform where you write workflows in Node.js (Python and Go also supported). It gives you full programmatic control — you write actual code, not just configure nodes — with built-in auth management, secrets, and cron scheduling. Learn more about Pipedream.

Setup

How to connect Very Good FFmpeg to Pipedream

Get your API key

Sign up at verygoodffmpeg.com and copy your API key. Store it as a Pipedream environment variable (VGF_API_KEY) for secure access across workflows.

Create a new workflow

In Pipedream, create a new workflow. Choose a trigger — HTTP, cron schedule, email, or any of the 2,000+ app triggers. Write your workflow code in the Node.js code step.

Write the API call

Use Pipedream's built-in axios to POST to https://verygoodffmpeg.com/api/ffmpeg. Access trigger data via event.body or steps.trigger.event. All your environment variables are available via process.env.

Process the result

Parse the JSON response, extract output URLs, and use Pipedream's subsequent steps to store files, notify Slack, update a database, or trigger the next workflow in your pipeline.

Set up cron for recurring jobs

Use Pipedream's cron scheduler to run FFmpeg commands on a schedule — check for new files every hour, generate daily highlight reels, or process a batch every night.

Build

What you can build with Pipedream

Event-driven video processing

Trigger FFmpeg commands from any Pipedream event source — new Stripe payment, new GitHub issue, new Slack message, new row in PostgreSQL. Any event can kick off a video processing pipeline.

Scheduled batch processing

Run a nightly cron workflow that scans an S3 bucket for new uploads, processes each one through Very Good FFmpeg, and saves the results back — all written in Node.js with full error handling.

Multi-service media pipeline

Combine Pipedream's 2,000+ integrations to build a pipeline: watch Google Drive → FFmpeg convert → upload to YouTube → post link to Slack → log in database. All in one workflow.

Start automating Pipedream video workflows

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import axios from "axios" export default defineComponent({ async run({ steps, $ }) { const response = await axios.post( "https://verygoodffmpeg.com/api/ffmpeg", { input_files: { input: steps.trigger.event.body.file_url }, output_files: ["output.mp4"], ffmpeg_commands: ["-i {{input}} -c:v libx264 -crf 23 {{output.mp4}}"] }, { headers: { Authorization: `Bearer ${process.env.VGF_API_KEY}`, "Content-Type": "application/json" } } ) return response.data } })