• I created this to convert existing s3 mp4 file to HLS-compatible video segments
• This script will download the s3 mp4 file locally, convert it to 3 resolutions i.e. 320x180, 854x480 and 1280x720, then create a master m3u8 playlist file & upload all playlists and their segments back to s3. It does not delete original s3 mp4 file.
• It will also cleanup all local files generated at end of script.

• Download ffmpeg on your machine as per your OS.
• Upload a mp4 file to s3 in a directory mp4
• Clone this repo and do npm install
• cp .env.sample .env. Populate the s3 credentials.
• Do mkdir hls in repo root.
• Create hls directory in s3 on same level as mp4 directory.
• In app.js, update const mp4FileName = 'video1.mp4'; with your video file name.
• In app.js, update ffmpeg.setFfmpegPath('/opt/local/bin/ffmpeg'); with your ffmpeg installation path.
• Run node app.js to start the script.

• This has been tested on Mac, but should work on linux as well.
• Currently script is not much flexible in allowing other resolutions, changing folder names, etc. Later if I get time, I will modify the script to allow passing these values from .env so modifying the script app.js will not be needed.

• I have included a small html file which uses video.js as client library to play hls-compatible videos. Html file loads external scripts for video.js so make sure to verify all external scripts loaded and proceed at your own risk. Create your own html file if you want to load from other sources or use a different video library.
• After the main script app.js is run, find in s3 the file ending with master.m3u8. Get the url of that file from s3 or cdn if you have cdn infront of your s3 bucket.
• Replace the url as master_m3u8_file_url in index.html file.
• Open the index.html file in your browser. Better to use incognito to test the adaptive bitrate algorithm as sometimes browsers cache resources and actual behaviour of algorithm does not get discovered properly.

• As per my testing on mac, for an mp4 video of 900 MB, entire script completed in 26 minutes with no high-ram usage detected. The total size of all generated file of all 3 resolutions was around 580 MB.

Feel free to open an issue in case you find a bug