mp4sp 1.0.1

Split MP4 files into multiple clips from a CSV segment list.

mp4_splitter

Command-line utility for splitting MP4 files into multiple clips based on a CSV segment list.

Requirements

• Python 3.10.12 or newer
• ffmpeg available on your PATH

Installation

pip install mp4sp
# or, inside this repository
uv sync
uv run mp4sp --help

Preparing the segment list

Create a UTF-8 CSV file with the columns filename, start, and end. Timestamps can be in HH:MM:SS[.mmm] format.

filename,start,end
test.mp4,00:00:01.000,00:00:05.167
test.mp4,00:00:05.168,00:00:10.000
test.mp4,00:00:10.001,00:01:03.000
another.mp4,12,24

• filename is resolved relative to the input directory you pass via --input.
• Each row produces an output file named <original>_cut_<index>.mp4.
• Pure numbers in start/end are treated as seconds, so another.mp4,12,24 means “take another.mp4 from 12s to 24s,” yielding a 12-second clip.
• If you pass a single file to --input, ensure the filename column matches that file name; all other rows are skipped automatically.

Usage

1. Place the source videos under an input folder (or point directly at a single .mp4 file), e.g. videos/.
2. Create the CSV file as described above, e.g. split_list.csv.
3. Run the CLI:

mp4sp \
--input videos \
--output clips \
--csv split_list.csv \
--threads 8 \
--safe

Options

• --input / -i: Directory containing the source MP4 files (required). You may also pass a single .mp4 file path, in which case rows for other files are ignored and only that file is processed.
• --output / -o: Directory in which the clips will be written (required; created if missing).
• --csv / -c: Path to the CSV file with segment definitions (required).
• --threads / -t: Number of parallel splits to run. Defaults to 4.
• --safe / -s: Re-encode each clip to avoid artifacts (slower but frame-accurate).

Set --safe when you need artifact-free cuts or when cutting from formats where keyframes are sparse. Omit it for the fastest stream-copy mode.

Example from source checkout

uv run mp4sp \
-i samples/input \
-o samples/output \
-c split_list.csv \
-t 4 \
-s

Upon completion the tool logs progress for each clip and finishes with All tasks completed.. The resulting files reside in the output directory.