from ffmpeg import FFmpeg, Progress def main(): ffmpeg = ( FFmpeg() .option("y") .input( "rtsp://username:password@127.0.0.1/cam", rtsp_transport="tcp", rtsp_flags="prefer_tcp", ) .output("output.mp4", vcodec="copy") ) @ffmpeg.on("progress") def time_to_terminate(progress: Progress): if progress.frame > 200: ffmpeg.terminate() ffmpeg.execute() if __name__ == "__main__": main() import asyncio from ffmpeg import Progress from ffmpeg.asyncio import FFmpeg async def main(): ffmpeg = ( FFmpeg() .option("y") .input( "rtsp://username:password@127.0.0.1/cam", rtsp_transport="tcp", rtsp_flags="prefer_tcp", ) .output("output.mp4", vcodec="copy") ) @ffmpeg.on("progress") def time_to_terminate(progress: Progress): if progress.frame > 200: ffmpeg.terminate() await ffmpeg.execute() if __name__ == "__main__": asyncio.run(main())

November 7, 2025 - Async Python bindings for FFmpeg - with complex filtering support - regulad/asyncio-ffmpeg

process = ( ffmpeg .input('pipe:', format='rawvideo', pix_fmt='rgb24', s='{}x{}'.format(width, height)) .output(out_filename, pix_fmt='yuv420p') .overwrite_output() .run_async(pipe_stdin=True) ) process.communicate(input=input_data)

May 4, 2019 - process = await ( ffmpeg .input('input.mp4') .output('pipe:', format='rawvideo', pix_fmt='rgb24')['v'] .run_asyncio(pipe_stdout=True, quiet=False) ) while True: frame_bytes = await process.stdout.read(video_frame_size) if len(frame_bytes) == 0: break await process.wait()

Examples of Python asyncio.subprocess with FFmpeg and also traditional synchronous processes.

This package supports FFmpeg asynchronously invoke with async / await pattern wrapping ffmpeg.run_async() of ffmpeg-python and returned subprocess.Popen.

A fork of the excellent python-ffmpeg binding for FFmpeg, updated for native async API support only.

Async Python bindings for FFmpeg - with complex filtering support - asyncio-ffmpeg/README.md at asyncio · regulad/asyncio-ffmpeg

""" if isinstance(cmd, ... quiet=False, overwrite_output=False, cwd=None, ): """Asynchronously invoke ffmpeg for the supplied node graph....

This package supports FFmpeg asynchronously invoke with async / await pattern wrapping ffmpeg.run_async() of ffmpeg-python and returned subprocess.Popen.

packet_size = 4096 process = ( ffmpeg .input('rtsp://%s:8554/default') .output('-', format='h264') .run_async(pipe_stdout=True) ) while process.poll() is None: packet = process.stdout.read(packet_size) try: tcp_socket.send(packet) except socket.error: process.stdout.close() process.wait() break

packet_size = 4096 process = ( ffmpeg .input('rtsp://%s:8554/default') .output('-', format='h264') .run_async(pipe_stdout=True) ) while process.poll() is None: packet = process.stdout.read(packet_size) try: tcp_socket.send(packet) except socket.error: process.stdout.close() process.wait() break

'ffmpeg.old', '-i', 'dummy.mp4', 'dummy2.mp4', ] · · @pytest.mark.parametrize('pipe_stdin', [True, False]) @pytest.mark.parametrize('pipe_stdout', [True, False]) @pytest.mark.parametrize('pipe_stderr', [True, False]) @pytest.mark.parametrize('cwd', [None, '/tmp']) def test__run_async(mocker, pipe_stdin, pipe_stdout, pipe_stderr, cwd): process__mock = mock.Mock() popen__mock = mocker.patch.object(subprocess, 'Popen', return_value=process__mock) stream = _get_simple_example() process = ffmpeg.run_async( stream, pipe_stdin=pipe_stdin, pipe_stdout=pipe_stdout, pipe_stderr=pipe_stderr, cwd=cwd, ) assert process is process__mock ·

A python binding for FFmpeg which provides sync and async APIs

May 18, 2024 - A fork of the excellent python-ffmpeg binding for FFmpeg, updated for native async API support only.

April 19, 2019 - But I found that setting the parameter "quiet" of the encoder process to True (which set both stdout and stderr to PIPE) will cause the ffmpeg process to stick at some stage ( and in this case, I cannot write anything into its stdin). If I leave "quiet" to default or set both pipe_stdout and pipe_stderr to False, everything goes well. I tried to edit the run_async function, changing it from

How to gracefully close an ffmpeg process running in background without corrupting the encoded video file? ... Python running a cmd command(ffmpeg) with subprocess and wait for cmd to close before executing some code

python-ffmpeg is a python binding for FFmpeg which provides sync and async APIs. To install python-ffmpeg, simply use pip: $ pip install python-ffmpeg · Synchronous APIAsynchronous API ·

ffmpy3 is a fork of ffmpy, a simplistic FFmpeg command line wrapper. ffmpy implements a Pythonic interface for executing FFmpeg via command line and uses Python’s subprocess module for synchronous execution.

December 18, 2024 - import httpx client = httpx.AsyncClient() async def write_input( client: httpx.AsyncClient, video_link: str, process: asyncio.subprocess.Process ) -> None: async with client.stream("GET", video_link) as response: async for chunk in response.aiter_raw(1024): print(chunk) # this is the downloaded video file, in chunks · We worry about the actual processing later, for now we would just get the code to print the chunks to the screen. Next we write a function to call ffmpeg, through asyncio.create_subprocess_exec