Skip to main content

Run FFmpeg & see percentage progress + ETA.

Project description

PyPI downloads PyPI downloads GitHub

Better FFmpeg Progress

Runs an FFmpeg command and uses tqdm to show a progress bar.

Example:

39%|███████████████████████████████████████████ | 23.6/60.2 [00:19<00:34, 1.07s/s]

Where:

  • 39% is the percentage progress.
  • 23.6 seconds of the input file have been processed.
  • 60.2 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().

Simple Example:

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()

Advanced Example:

from better_ffmpeg_progress import FfmpegProcess

def handle_progress_info(percentage, speed, eta, estimated_filesize):
    print(f"Estimated Output Filesize: {estimated_filesize / 1_000_000} MB")

def handle_success():
  # Code to run if the FFmpeg process completes successfully.
  pass

def handle_error():
  # Code to run if the FFmpeg process encounters an error.
  pass

# Pass a list of FFmpeg arguments, like you would if using subprocess.run()
process = FfmpegProcess(["ffmpeg", "-i", "input.mp4", "-c:a", "libmp3lame", "output.mp3"])

ffmpeg_output_path = 'ffmpeg_output.txt'

# Use the run method to run the FFmpeg command.
process.run(progress_handler=handle_progress_info, ffmpeg_output_file=ffmpeg_output_path, success_handler=handle_success, error_handler=handle_error)

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 values will be None if unknown. The function will receive the aforementioned metrics as arguments, about two times per second.

  • ffmpeg_output_file - A string path to 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.

  • success_handler - A function to run if the FFmpeg process completes successfully.

  • error_handler - A function to run if the FFmpeg process encounters an error.

Changelog:

[19/09/2022]

  • Add the ability to specify a success_handler argument, a function to run if the FFmpeg process completes successfully.
  • Add 0.001 to tqdm's total parameter to prevent the chance of getting TqdmWarning: clamping frac to range [0, 1]

[21/12/2022]

  • [v2.0.7] Fix 'estimated_size' referenced before assignment error.
  • [v2.0.7] The progress bar now uses 1 decimal place for seconds processed and total duration.

[22/12/2022]

  • [v2.0.8] Add the ability to specify an error_handler argument, a function to run if the FFmpeg process encounters an error.
  • [v2.0.9] Fix a typo (commit da45a84)

[07/02/2022]

[05/11/2023]

[22/04/2024]

  • [v2.1.3] Fix issue #20

[28/04/2024]

  • [v2.1.4] Fix issue #21

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

better-ffmpeg-progress-2.1.5.tar.gz (5.7 kB view hashes)

Uploaded Source

Built Distribution

better_ffmpeg_progress-2.1.5-py3-none-any.whl (5.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page