FFmpeg Keyframe Extraction
SkillFiles & storageExtract key frames (I-frames) from video files using FFmpeg to identify scene changes and important moments.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the FFmpeg Keyframe Extraction skill
What this skill tells your AI
The instructions your AI receives, as published by cxcscmu/skilllearnbench in skills/b1-one-shot-claude-haiku-4-5/video-object-counting/ffmpeg-keyframe-extraction/SKILL.md and read by ahel’s review.
Overview
FFmpeg can extract keyframes (I-frames) from video files. Keyframes are complete frames that don't depend on other frames for decoding, making them ideal for analysis and detection tasks.
Installation
# Ubuntu/Debian
sudo apt-get install ffmpeg
# macOS
brew install ffmpeg
Usage
Extract All Keyframes from Video
ffmpeg -i input.mp4 -vf "select=eq(pict_type\,I)" -vsync 0 output_%03d.png
Parameters:
-i input.mp4: Input video file-vf "select=eq(pict_type\,I)": Filter to select only I-frames (keyframes)-vsync 0: Output one image per keyframe (important for proper numbering)output_%03d.png: Output pattern with zero-padded frame numbers (001, 002, etc.)
Extract Keyframes with Frame Rate Control
ffmpeg -i input.mp4 -vf "fps=1/5,select=eq(pict_type\,I)" -vsync 0 output_%03d.png
This extracts at most 1 keyframe every 5 seconds.
Check Video Information
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1:noprint_wrappers=1 video.mp4
Output Naming Convention
When using output_%03d.png:
- Frame 1:
output_001.png - Frame 2:
output_002.png - Frame 100:
output_100.png
Python Integration
import subprocess
import os
def extract_keyframes(video_path, output_dir, output_prefix="keyframes"):
"""Extract keyframes from video file"""
os.makedirs(output_dir, exist_ok=True)
output_pattern = os.path.join(output_dir, f"{output_prefix}_%03d.png")
cmd = [
'ffmpeg',
'-i', video_path,
'-vf', 'select=eq(pict_type\\,I)',
'-vsync', '0',
output_pattern
]
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode != 0:
raise RuntimeError(f"FFmpeg error: {result.stderr}")
# Return list of extracted frames
frames = sorted([
os.path.join(output_dir, f)
for f in os.listdir(output_dir)
if f.startswith(output_prefix)
])
return frames
Tips
- Keyframes are typically smaller in file size than regular frames
- For consistent results, always use
-vsync 0with keyframe extraction - Output pattern with
%03densures consistent naming for sorting - Check that files are being created in the expected output directory
Signals
- GitHub stars
- 83
- Forks
- 5
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
ffmpeg-keyframe-extraction- Source
- github.com/cxcscmu/skilllearnbench