One of the challenges we encountered was converting a standard movie format into a streaming format, so there are quite a few tips I can now share with you. One of the projects that we are co-developing called Get Moments required a lot of working with FFmpeg, Python, OpenCV and Machine Learning (mostly TensorFlow). There is no doubt that automated video processing is going to become as normal as image processing by AI, revolutionizing not only platforms such as YouTube, TikTok, Instagram, or Twitch – but the way we work with and perceive video content. Consumers across generations have been spending more time watching online TV (Nielsen) and browsing the internet using social media and video-on-demand services on a daily basis. Is there an API for conversion to DASH or HLS?Īccording to this research by Deloitte, it is typical for younger generations to build a dynamic portfolio of media and entertainment options.How much space do the HLS and DASH formats take up?.What is the data structure of HLS and DASH?.What is the Streaming Format, and What is it Good For?.This article might prove useful to those who encountered similar challenges. It however brought quite a few new challenges (huge amount of data, processing time, precision, and so on) that didn’t need to be taken into consideration when building classic image-processing systems, including converting the standard video into streaming format. Automated video processing is a growing field of AI, with many interesting applications. See Text on video using ffmpeg for many more examples.In the last few months, we have been actively developing a lot of new AI solutions for videos. You can add text with the drawtext filter: ffmpeg -f lavfi -i color=c=blue:s=1280x720 -i input.mp3 -vf 'drawtext=fontfile=/path/to/font.ttf:text='Your -shortest -fflags +shortest output.mp4 If you want a plain color background use the color filter: ffmpeg -f lavfi -i color=c=blue:s=1280x720 -i input.mp3 -shortest -fflags +shortest output.mp4 See Resizing videos with ffmpeg to fit into specific size for more info and examples. This command uses the scale + pad filters to make image fit into 1920x1080, setsar filter to set a normal Sample Aspect Ratio, then the format filter sets the chroma subsampling to YUV 4:2:0 for playback compatibility. Using an image ffmpeg -loop 1 -i input.jpg -i input.mp3 -vf 'scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:-1:-1:color=black,setsar=1,format=yuv420p' -shortest -fflags +shortest output.mp4

Ffmpeg mp4 to mp3 python