Monitoring status

In python-ffmpeg, the processing status of ffmpeg can be monitored through events. More information about the events can be found here.

Synchronous APIAsynchronous API

from __future__ import annotations

from ffmpeg import FFmpeg, Progress


def main():
    ffmpeg = (
        FFmpeg()
        .option("y")
        .input("input.mp4")
        .output(
            "output.mp4",
            {"codec:v": "libx264"},
            vf="scale=1280:-1",
            preset="veryslow",
            crf=24,
        )
    )

    @ffmpeg.on("start")
    def on_start(arguments: list[str]):
        print("arguments:", arguments)

    @ffmpeg.on("stderr")
    def on_stderr(line):
        print("stderr:", line)

    @ffmpeg.on("progress")
    def on_progress(progress: Progress):
        print(progress)

    @ffmpeg.on("completed")
    def on_completed():
        print("completed")

    @ffmpeg.on("terminated")
    def on_terminated():
        print("terminated")

    ffmpeg.execute()


if __name__ == "__main__":
    main()

from __future__ import annotations

import asyncio

from ffmpeg import Progress
from ffmpeg.asyncio import FFmpeg


async def main():
    ffmpeg = (
        FFmpeg()
        .option("y")
        .input("input.mp4")
        .output(
            "output.mp4",
            {"codec:v": "libx264"},
            vf="scale=1280:-1",
            preset="veryslow",
            crf=24,
        )
    )

    @ffmpeg.on("start")
    def on_start(arguments: list[str]):
        print("arguments:", arguments)

    @ffmpeg.on("stderr")
    def on_stderr(line):
        print("stderr:", line)

    @ffmpeg.on("progress")
    def on_progress(progress: Progress):
        print(progress)

    @ffmpeg.on("completed")
    def on_completed():
        print("completed")

    @ffmpeg.on("terminated")
    def on_terminated():
        print("terminated")

    await ffmpeg.execute()


if __name__ == "__main__":
    main()