Run FFmpeg & see percentage progress + ETA.
Project description
Example
39%|███████████████████████████████████████████ | 23.581/60.226 [00:19<00:34, 1.07s/s]
Where:
39%
is the percentage progress.23.581
seconds of the input file have been processed.60.226
is the duration of the input file in seconds.00:19
is the time elapsed since the FFmpeg process started.00:34
is the estimated time required for the FFmpeg process to complete.1.07
shows how many seconds of the input file are processed per second.
Installation
pip3 install better-ffmpeg-progress --upgrade
Usage
Create an instance of the FfmpegProcess
class and supply a list of arguments like you would to subprocess.run()
:
from better_ffmpeg_progress import FfmpegProcess
# Pass a list of FFmpeg arguments, like you would if using subprocess.run()
process = FfmpegProcess(["ffmpeg", "-i", "input.mp4", "-c:a", "libmp3lame", "output.mp3"])
# Use the run method to run the FFmpeg command.
process.run()
The run
method takes the following optional arguments:
-
progress_handler
-
You can create a function if you would like to do something with the following values:
- Percentage progress. [float]
- Speed, e.g.
22.3x
which means that 22.3 seconds of the input are processed every second. [string] - ETA in seconds. [float]
- Estimated output filesize in bytes. [float]
- Note: This is not accurate. Please take the value with a grain of salt.
The function will receive the aforementioned metrics as arguments, about two times per second.
Here's an example of a progress handler that you can create:
def handle_progress_info(percentage, speed, eta, estimated_filesize): print(f"The FFmpeg process is {percentage}% complete. ETA is {eta} seconds.") print(f"Estimated Output Filesize: {estimated_filesize / 1_000_000} MB")
Then you simply set the value of the
progress_handler
argument to the name of your function, like so:process.run(progress_handler=handle_progress_info)
-
-
ffmpeg_output_file
- The
ffmpeg_output_file
argument allows you define where you want the output of FFmpeg to be saved. By default, this is saved in a folder named "ffmpeg_output", with the filename[<input_filename>].txt
, but you can change this using theffmpeg_output_file
argument.
- The
Here's an example where both the progress_handler
and ffmpeg_output_file
parameters are used:
process.run(progress_handler=handle_progress_info, ffmpeg_output_file="ffmpeg_log.txt")
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