This interval will be executed 50 times, after that _interval being terminated and we call (). In this case, we are sending the image data we just obtained by taking screenshot. Screenshot() function called every 100ms and it returns the image buffer, () allow us to write data directly to the child’s stdin buffer. This is actually what we want to accomplish in Node.js in the end. We used cat to read images as raw data and piped to FFmpeg using the | operator. img/* | ffmpeg.exe -framerate 1 -f image2pipe -i - output.mp4 Since the code above taking inputs from stdin we can use: cat. img folder and we want to generate video from these while each frame has a 1-second duration. ffmpeg.exe -framerate 1 -f image2pipe -i - output.mp4 ![]() The following FFmpeg code is used to produce a slideshow from images provided to stdin. I use the FFmpeg standalone executable and not any Node API wrapper. I used the screenshot-desktop module to capture screenshots of my desktop and return a buffer, I used that package to generate images and this is not an essential part of this tutorial instead you can read those images from disk as well. learn moreįFmpeg obviously has many features but we are only interested in one right now. FFmpegĪ complete, cross-platform solution to record, convert and stream audio and video. We will make a simple Node.js app that generates an mp4 video from screenshots taken by our program, directly from the buffer without saving those images on disk. Both are streams in Node.js while stdin is a writable stream and stdout is a readable stream. We are interested in stdin and stdout streams in this tutorial. HTML: Your browser doesn't support HTML5 video playback.Recently I spent a lot of time with child processes and decided to write a simple tutorial about that, and if you intend to use child processes you better know more about streams.Ī stream is an abstract interface for working with streaming data in Node.js Now, the code to convert GIF to MP4 ffmpeg. Not having this config will break your program #Codeįirst, let's set up FFMPEG paths in our index.js file: const ffmpegInstaller = require ( " " ) const ffprobe = require ( " " ) const ffmpeg = require ( " fluent-ffmpeg " )(). ![]() npm i - D ffmpeg - installer / ffmpeg fluent - ffmpeg ffprobe - installer / ffprobe If the OS is linux based, it'll download specific binary for that.Īnd there's also an amazing package called fluent-ffmpeg which provides a very declarative, callback-based API to interact with FFMPEG. If you are running Windows, it'll download the ffmpeg.exe file. You'd have to keep a Ubuntu compatible FFMPEG binary alongside your own OS based binary, and still it won't work properly.īut thank the NPM Gods, we have the package that installs the right binary based on the operating system. But you can't directly upload the binary to Cloud environments like Google Cloud Functions/AWS lambda without a lot of preprocessing and testing on your end. ![]() ![]() If it's your own server, you can upload it there manually and it'll work. What I mean by this is that in a real world application, you'll be deploying the code on cloud/servers, and you'd need FFMPEG there too. And we'll need to download the right binary. We'll require a binary of ffmpeg and will have to figure how to use it.
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