How to Take Screenshots with Python MSS

Complete guide to the MSS Python screen capture library. Learn installation, capturing monitors, regions, performance optimization, and common errors like xgetimage() failed.

Blog post 4 min read

Written by

Dmytro Krasun

Published on

Python MSS stands for Multiple Screen Shot, and it lives up to the name. It handles multi-monitor setups natively, runs on Windows, macOS, and Linux, and delivers solid performance.

Python MSS on PyPI

If you want to save time, I shared all the code examples in the open GitHub repository.

Installation and Basic Usage

Install the library using pip:

Terminal window
pip install mss

And then:

import mss
with mss.mss() as sct:
# Capture the first monitor
screenshot = sct.grab(sct.monitors[1])
# Save to file
mss.tools.to_png(screenshot.rgb, screenshot.size, output='screenshot.png')

Understanding Monitors

mss uses an index system for monitors:

import mss
with mss.mss() as sct:
# monitors[0] = all monitors combined
# monitors[1] = first monitor
# monitors[2] = second monitor (if exists)
for i, monitor in enumerate(sct.monitors):
print(f"Monitor {i}: {monitor}")

Output:

Monitor 0: {'left': 0, 'top': 0, 'width': 3840, 'height': 1080}
Monitor 1: {'left': 0, 'top': 0, 'width': 1920, 'height': 1080}
Monitor 2: {'left': 1920, 'top': 0, 'width': 1920, 'height': 1080}

Capturing Specific Monitors

import mss
with mss.mss() as sct:
# First monitor
first_monitor = sct.grab(sct.monitors[1])
# Second monitor
second_monitor = sct.grab(sct.monitors[2])
# All monitors combined
all_monitors = sct.grab(sct.monitors[0])

Capturing Specific Regions

Define a region with a dictionary:

import mss
with mss.mss() as sct:
region = {
'left': 100, # X coordinate
'top': 100, # Y coordinate
'width': 500, # Width in pixels
'height': 500 # Height in pixels
}
screenshot = sct.grab(region)
mss.tools.to_png(screenshot.rgb, screenshot.size, output='region.png')

Saving Screenshots

To PNG File

import mss
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
mss.tools.to_png(screenshot.rgb, screenshot.size, output='screenshot.png')

To PIL Image

import mss
from PIL import Image
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
# Convert BGRA to RGB
img = Image.frombytes('RGB', screenshot.size, screenshot.bgra, 'raw', 'BGRX')
img.save('screenshot.png')

To NumPy Array

import mss
import numpy as np
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
img_array = np.array(screenshot) # BGRA format
# Convert to RGB if needed
rgb_array = img_array[:, :, :3][:, :, ::-1] # Remove alpha, BGR to RGB

Understanding Color Formats

mss returns BGRA (Blue, Green, Red, Alpha) format:

import mss
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
# Raw bytes (BGRA)
bgra_bytes = screenshot.bgra
# RGB bytes (for saving)
rgb_bytes = screenshot.rgb
# Size tuple
width, height = screenshot.size

BGRA to RGB Conversion

import mss
import numpy as np
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
# Method 1: Using numpy
bgra = np.array(screenshot)
rgb = bgra[:, :, [2, 1, 0]] # Swap B and R channels
# Method 2: Using PIL
from PIL import Image
img = Image.frombytes('RGB', screenshot.size, screenshot.bgra, 'raw', 'BGRX')

Performance Optimization

Reuse the mss Instance

import mss
# Bad: Creating new instance each time
for i in range(100):
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])
# Good: Reuse instance
with mss.mss() as sct:
for i in range(100):
screenshot = sct.grab(sct.monitors[1])

Capture Only What You Need

import mss
with mss.mss() as sct:
# Capturing a smaller region is faster
small_region = {'left': 0, 'top': 0, 'width': 100, 'height': 100}
screenshot = sct.grab(small_region)

Benchmark

import mss
import time
with mss.mss() as sct:
monitor = sct.monitors[1]
start = time.time()
frames = 0
while time.time() - start < 5:
sct.grab(monitor)
frames += 1
fps = frames / 5
print(f"FPS: {fps:.1f}")

Typical results: 30-60 FPS depending on resolution and system.

Continuous Capture

import mss
import time
def record_screen(duration_seconds, output_dir='frames'):
import os
os.makedirs(output_dir, exist_ok=True)
frames = []
with mss.mss() as sct:
monitor = sct.monitors[1]
start = time.time()
while time.time() - start < duration_seconds:
screenshot = sct.grab(monitor)
frames.append(screenshot)
# Save frames
for i, frame in enumerate(frames):
mss.tools.to_png(frame.rgb, frame.size, output=f'{output_dir}/frame_{i:05d}.png')
print(f"Captured {len(frames)} frames")
return frames
record_screen(2) # Record 2 seconds

Common Errors and Solutions

ScreenShotError: xgetimage() failed

This error occurs on Linux when the X display isn’t accessible.

Solution 1: Set the DISPLAY variable

Terminal window
export DISPLAY=:0
python your_script.py

Solution 2: Use Xvfb for headless servers

Terminal window
apt-get install xvfb
xvfb-run python your_script.py

Solution 3: Check display access in code

import os
import mss
# Ensure DISPLAY is set
if 'DISPLAY' not in os.environ:
os.environ['DISPLAY'] = ':0'
with mss.mss() as sct:
screenshot = sct.grab(sct.monitors[1])

Import Error on Linux

Terminal window
# Install required system dependencies
apt-get install python3-xlib

MSS vs DXcam

FeatureMSSDXcam
PlatformWindows, macOS, LinuxWindows only
FPS30-60240+
Multi-monitorExcellentGood
DependenciesPure PythonDirectX
Best forCross-platformGaming

Use MSS when: You need cross-platform support or don’t need extreme performance.

Use DXcam when: You are on Windows and need maximum FPS.

However, consider that DXcam is not actively maintained at the moment of writing the guide.

Complete Example

import mss
import time
from PIL import Image
from pathlib import Path
class ScreenCapture:
def __init__(self, output_dir='captures'):
self.output_dir = Path(output_dir)
self.output_dir.mkdir(exist_ok=True)
def capture_monitor(self, monitor_index=1, filename='screenshot.png'):
"""Capture a specific monitor."""
with mss.mss() as sct:
if monitor_index >= len(sct.monitors):
raise ValueError(f"Monitor {monitor_index} not found")
screenshot = sct.grab(sct.monitors[monitor_index])
output_path = self.output_dir / filename
mss.tools.to_png(screenshot.rgb, screenshot.size, output=str(output_path))
return output_path
def capture_region(self, left, top, width, height, filename='region.png'):
"""Capture a specific region."""
region = {'left': left, 'top': top, 'width': width, 'height': height}
with mss.mss() as sct:
screenshot = sct.grab(region)
output_path = self.output_dir / filename
mss.tools.to_png(screenshot.rgb, screenshot.size, output=str(output_path))
return output_path
def list_monitors(self):
"""List available monitors."""
with mss.mss() as sct:
return sct.monitors
# Usage
capture = ScreenCapture()
print("Monitors:", capture.list_monitors())
capture.capture_monitor(1, 'monitor1.png')
capture.capture_region(0, 0, 500, 500, 'region.png')

Run the script with:

Terminal window
python record_screen.py

Results on my machine:

For the first monitor: Monitor screenshot by Python MSS library

For the region: Region screenshot by Python MSS library

Summary

Python MSS is the best general-purpose screen capture library for Python:

  1. Cross-platform (Windows, macOS, Linux)
  2. Fast enough for most use cases (30-60 FPS)
  3. Native multi-monitor support
  4. Simple API with no complex dependencies

For website screenshots check out our guide on website screenshots with Python or use Playwright.

Frequently Asked Questions

If you read the article, but still have questions. Please, check the most frequently asked. And if you still have questions, feel free reach out at support@screenshotone.com.

Is MSS faster than DXcam for screen capture?

No, DXcam is faster (240+ FPS vs 30-60 FPS), but it only works on Windows. mss is the best choice for cross-platform code or when you don't need extreme performance.

How to fix MSS ScreenShotError xgetimage() failed?

This error occurs on Linux when the display isn't accessible. Make sure DISPLAY environment variable is set, or run with a display server. For headless servers, use Xvfb.

What format does MSS grab() return?

MSS returns a ScreenShot object with BGRA pixel data. Use screenshot.rgb for RGB data, or convert with PIL/numpy for other formats.

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