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Run ffmpeg as an API with fluent-ffmpeg compatibility, queues and S3 storage.

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StreamPot

Note

StreamPot is still in the early stages of development, we would appreciate your feedback.

StreamPot is a project that provides scaffolding for transforming media in your app (e.g. trimming a video, stripping the audio from a video, transcoding a video from mp4 to webp).

We are building this because an increasing number of projects are transforming media as part of their workflow.

If you want a no-setup way to run this, check out StreamPot.

Running the server locally

Visit the Installation (server) page for self-hosting instructions. If you'd like to use the hosted version, please sign up and give it a try.

Running a job in your app

Note: You should only run this from your server.

Install the client library

pnpm i @streampot/client

Initialise the client & submit a job.

import StreamPot from '@streampot/client'
const EXAMPLE_VID = 'https://sample-videos.com/video321/mp4/240/big_buck_bunny_240p_1mb.mp4'

const client = new StreamPot({
    baseUrl: 'http://127.0.0.1:3000', // adjust if you are serving in production
})

const clipJob = await client.input(EXAMPLE_VID)
    .setStartTime(1)
    .setDuration(2)
    .output('output.mp4')
    .run()
const jobId = clipJob.id

// In production you should set up a poll.
setTimeout(async () => {
    const job = await client.checkStatus(jobId)
    if (job.status === 'completed'){
        console.log(job.output_url)
    } 
},10000) // wait 10 seconds

Acknowledgements

This project is heavily reliant on the amazing work of the ffmpeg and fluent-ffmpeg teams

Feedback

If you want to use StreamPot in your project, I'd be happy to help & improve it based on your feedback. Email me at [email protected] or let's have a call.

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Run ffmpeg as an API with fluent-ffmpeg compatibility, queues and S3 storage.

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