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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallInstall DXcam with pip install dxcam, create a camera, and call grab(). The result is a NumPy array containing the captured frame; it is not automatically a PNG file. DXcam is a Windows screen-capture library, so use it when you need to capture a Windows display from Python—not a website screenshot service.
Install DXcam and capture a still frame
The basic workflow is to install the package, create a camera, capture one frame, and release the capture resources. DXcam’s project documents this context-manager pattern:
pip install dxcamimport dxcam
with dxcam.create() as camera:
frame = camera.grab()
if frame is None:
print("No new frame was available")
else:
print(frame.shape, frame.dtype)frame is a NumPy array. The context manager handles cleanup when the block ends. The README also documents release() for explicitly stopping capture and freeing buffers and resources; a released camera instance cannot be reused. [DXcam README]
DXcam’s repository describes it as a Windows screenshot and capture library based on the Desktop Duplication API. That is the project’s description, not an independent performance evaluation. [DXcam README]
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Install requirements and check compatibility
The documented basic install is pip install dxcam. The project lists Python 3.10 or newer and says its official Windows wheels are built for CPython 3.10 through 3.14. These package details can change as releases are made, so check the current project listing if your Python version or Windows environment does not match. [DXcam on PyPI]
If you need OpenCV-based color conversion or WinRT backend support, the project documents an optional full-feature installation:
pip install "dxcam[cv2,winrt]"Use the basic installation if it covers your workflow; install the optional extras only when you need those capabilities. [DXcam README]
Save the captured array as an image
grab() returns image data in memory; saving it is a separate step. For an uncomplicated path, request BGRA and save it with OpenCV. DXcam documents BGRA as its leanest dependency path, while other color conversions require OpenCV or the compiled NumPy processor path. OpenCV’s conventional color order is BGR/BGRA, so select a matching output rather than treating every four-channel array as RGBA.
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import dxcam
import cv2
with dxcam.create(output_color="BGRA") as camera:
frame = camera.grab(new_frame_only=False)
if frame is None:
raise RuntimeError("DXcam did not return a frame")
if not cv2.imwrite("screenshot.png", frame):
raise RuntimeError("Could not write screenshot.png")
print("Saved screenshot.png")This example uses the optional OpenCV dependency for writing the file. Install the extras with pip install "dxcam[cv2,winrt]", or use an image library already present in your application and pass it an array in the channel order it expects. DXcam documents RGB, RGBA, BGR, BGRA, and GRAY as output choices. [DXcam README]
Capture only part of the screen
Pass region=(left, top, right, bottom) to grab(). These are the rectangle’s boundary coordinates—not an x/y origin followed by width/height. For example, a 640-by-640 region centered in a 1920-by-1080 output can be calculated as follows:
import dxcam
left = (1920 - 640) // 2
top = (1080 - 640) // 2In Python, avoid indenting the second assignment accidentally; a complete example is:
import dxcam
left = (1920 - 640) // 2
top = (1080 - 640) // 2
region = (left, top, left + 640, top + 640)
with dxcam.create() as camera:
frame = camera.grab(region=region, new_frame_only=False)
if frame is None:
raise RuntimeError("No frame returned")
print(frame.shape)The coordinates assume the selected output has the dimensions used in the calculation. For a different monitor resolution, calculate the bounds from that output’s actual dimensions. [DXcam README]
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Handle missing frames and choose the right capture mode
One current frame
For a one-off screenshot, use grab(). By default it can return None if no new frame has been available since the preceding capture. If your code needs the latest frame even when the display has not changed, call grab(new_frame_only=False). Check for None before processing or writing the result. [DXcam README]
A continuing stream
For repeated capture, use the continuous API: start capture, retrieve frames, and stop when finished. DXcam documents a capture thread and an in-memory ring buffer for this mode.
import dxcam
camera = dxcam.create()
camera.start(target_fps=60)
try:
frame = camera.get_latest_frame()
if frame is not None:
print(frame.shape)
finally:
camera.stop()Use the streaming path for workflows such as video processing or computer vision that need a continuing sequence of frames. It is not just a loop around the one-shot API: the capture thread fills a ring buffer, and get_latest_frame() reads from it. The project documents video_mode=True for filling the buffer at the requested target frame rate; in that mode, if no new frame has rendered, the previous frame is reused. [DXcam README]
Choose one-shot capture when you need a single current image. Choose continuous capture when you need a paced stream or want the buffer behavior. Consider whether your application wants repeated frames when the screen is unchanged before enabling video mode.
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Select a backend, monitor, and color format
DXGI or WinRT
DXcam documents DXGI (the Desktop Duplication backend) as the default and recommends starting there for most workloads, particularly one-shot grabs. Its other documented backend is WinRT (Windows Graphics Capture). The project suggests trying WinRT when cursor rendering is needed or when it better fits application constraints. There is no universal cross-machine winner in the documentation; test the backend against your Windows system and target application. [DXcam README]
Monitor or output selection
The project’s examples associate each output or monitor with a camera instance and show selecting device and output indices for multi-monitor or multi-GPU systems. If you capture the wrong display, verify the selected device/output indices against the output you intend to capture rather than assuming the default camera targets a particular monitor. [DXcam README]
Color order
Choose the output format based on the next library in your pipeline. RGB and RGBA are common for image-display code; BGR and BGRA are often expected by OpenCV workflows; GRAY is useful when the next operation requires a single channel. DXcam documents these output modes, with conversion availability depending on installed support. [DXcam README]
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DXcam’s README advertises “240+fps on 1080p.” That is a project-published figure, not an independently established benchmark or a guarantee for your system. Actual capture behavior depends on the machine, display, backend, application, and workload; measure your own pipeline if a particular frame rate is a requirement. [DXcam README]
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For reliability, handle a possible None result, keep region coordinates within the intended output, and make cleanup explicit when using the streaming interface. A capture loop does not itself imply that every requested frame will be new; the documented video mode can repeat the preceding frame when the display does not render another one. [DXcam README]
DXcam is a Python package, rather than a per-screenshot hosted service; the reviewed package documentation does not state a price. Your practical costs are the Windows machine and the engineering or compute resources needed by your own application.
Troubleshoot common DXcam issues
pipreports no compatible distribution or install fails: confirm you are using Windows and a supported Python environment. The project lists Python 3.10+ and official Windows wheels for CPython 3.10–3.14; verify current package compatibility if your interpreter differs. [DXcam on PyPI]grab()returnsNone: DXcam may have no new frame since the previous capture. Usegrab(new_frame_only=False)when the latest available frame is needed regardless, and still check the result before use. [DXcam README]- The crop is shifted, too small, or empty: confirm the tuple is
(left, top, right, bottom), not(x, y, width, height), and that its coordinates correspond to the selected output’s dimensions. [DXcam README] - The saved image has unexpected colors: check whether the chosen format is RGB/RGBA or BGR/BGRA and match it to the saving or processing library. DXcam exposes several channel orders; the consumer’s expected ordering matters. [DXcam README]
- The wrong display is captured: inspect the device/output selection for multi-monitor or multi-GPU setups. The project examples use indices to select outputs. [DXcam README]
- Cursor is absent or the backend does not fit the application: try the documented WinRT backend, especially when cursor rendering is needed; the project otherwise recommends starting with DXGI for most workloads. Test on the target system. [DXcam README]
- A streaming instance stops working after cleanup: release frees resources and a released instance cannot be reused. Create a new camera instance for a new capture lifecycle. [DXcam README]
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DXcam captures a Windows desktop. If instead you need a screenshot of a public website, ScreenshotNeo provides a website screenshot API and MCP server; one GET request can return PNG, JPEG, WebP, or PDF. For example, request a WebP capture of Stripe:
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Frequently asked questions
Does DXcam capture a website URL?
No. DXcam captures a Windows display. For a website URL capture rather than a desktop image, use a browser-based approach or a website screenshot API such as ScreenshotNeo.
Can I use DXcam on macOS or Linux?
The project describes DXcam as a Windows capture library and lists Windows package classifiers. The documentation cited here does not establish support for macOS or Linux. [DXcam on PyPI]
Can I use DXcam for a video or machine-learning pipeline?
Yes. The project documents continuous capture with a background capture thread, a ring buffer, and frame retrieval. Use that streaming API when the application needs repeated frames rather than a single still. [DXcam README]
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