Remember you must specify your desired file size in bytes if you want to use this method, and you can also change the -crf value.
So, assuming the trim command you added above in your question works, your final command should look something like this: ffmpeg -ss 823.2 -t 44.1 -i input.mp4 -ss 1074.1 -t 27.3 -i input.mp4 -filter_complex "concat=n=2:v=1:a=1" -map "" -map "" -vcodec libx265 -fs YOUR_FILE_SIZE_IN_BYTES -crf 29 output.mp4 I suggest playing around with the -fs and -crf limit until you get a file size and video quality you're happy with. If you wanted your -crf value to be 28, you would type -crf 28 and you can adjust that number as you desire. You can do this by just searching "mb to bytes" or "gb to bytes" in google. You must convert the file size from megabytes (or gigabytes, depending on what you want) to bytes. To use -fs, if, for example you wanted to limit your file size to 250mb, you would add -fs 250000000
#Flutter video compress android
To use -vcodec in the way I have described above you would add -vcodec libx265. videocompress Flutter Package videocompress 3.1.2 Published 6 months ago getx.site Dart 3 compatible SDK Flutter Platform Android iOS macOS 462 Readme Changelog Example Installing Versions Scores 3.1.2 Fix 'Failed to stop the muxer' and '' (VoronovAlexander) Fix files with spaces (unknown-undefined) 3.1. Higher crf value means lower bitrate, and as such, lower crf values correspond the higher bitrates, so adjust this as you will. You should also add a -crf value - change this to something around 26-30. Using -vcodec h265 could also help as the H.265 codec allows for smaller file sizes and it is newer. Of course, make it a reasonable size, not so small that your media is unwatchable.
You can limit the file size with -fs and then specify your desired file size in bytes. So when assembling the command, the videobitrate flag would look like this: -b:v 2074K. Example of video bitrate calculation for 2 hours with 256kbits audio, aiming to reach 2000 MiB (Telegram upload limit) 8,388.608 2000 / 7200 - 256 2074k. See Limit file size in FFmpeg for more info about -fs. Megabytes (MiB) equals 8,388.608 k (10242) / (1000/8) Source: ffmpeg documentation. It does not automatically fit the complete video to fit a specified size. fs is supposed to stop encoding when the output reaches a certain size. If you need to target a specific output file size Libx265 also uses -crf and -preset, but the -crf values are somewhat different.Įxample: ffmpeg -ss 823.2 -t 44.1 -i input.mp4 -ss 1074.1 -t 27.3 -i input.mp4 -filter_complex "concat=n=2:v=1:a=1" -map "" -map "" -c:v libx265 -crf 35 -preset slow output.mp4 This format may not be supported by your player/device. It is a slower encoder but will usually output a smaller file size for the same quality. Default is medium.Įxample: ffmpeg -ss 823.2 -t 44.1 -i input.mp4 -ss 1074.1 -t 27.3 -i input.mp4 -filter_complex "concat=n=2:v=1:a=1" -map "" -map "" -c:v libx264 -crf 29 -preset slower output.mp4Īdd -c:v libx265 to output HEVC/H.265 video instead of H.264. A slower preset: enables more fancy and complicated compression features, takes longer to encode, and usually provides a smaller file size. Use -preset to control compression efficiency and therefore encoding speed. The output file size cannot be predicted using -crf. Increasing the CRF value by +6 will result in about 50% smaller output size (such as -crf 23 vs -crf 29, not comparing input vs output sizes). Use the highest value that still provides an acceptable quality. A higher value is a lower quality and therefore a lower file size. Default encoder is libx264 (most builds of ffmpeg have -enable-libx264 so I'll assume yours does too).Ĭontrol quality with -crf. See for further details.You are outputting MP4.
#Flutter video compress code
The code and the model weights of Whisper are released under the MIT License. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. All of these tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing for a single model to replace many different stages of a traditional speech processing pipeline. Model SizeĪ Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. Links to both versions are below, check out more details on the Versions page. We still host all other model sizes in a previous version. We’ve created a version of Whisper which only runs the most recent Whisper model, large-v2.
Use Flutter to compress videos on Android & iOS to reduce the video size in Flutter. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech transcription as well as speech translation and language identification. Flutter Tutorial - Compress Video & Reduce Video Size Without FFmpeg. Whisper is a general-purpose speech transcription model.
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