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This release is a pre-release and may not be stable for production use.

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A Rust library for high-quality screen capture that leverages native OS APIs for optimal performance!

  1. macOS: ScreenCaptureKit
  2. Windows: Windows.Graphics.Capture
  3. Linux: Pipewire

Features

  1. Cross-platform across Windows, Mac and Linux!
  2. Checks for support and recording permissions.
  3. Query list of captureable targets (displays and windows).
  4. Exclude certain targets from being captured.

Contributing

We found most of Rust's tooling around screen capture either very outdated, non-performant or platform-specific. This project is our attempt to change that. Contributions, PRs and Issues are most welcome!

If you want to contribute code, here's a quick primer:

  1. Clone the repo and run it with cargo run.
  2. Explore the API and library code in lib.rs.
  3. Platform-specific code lives in the win, mac and linux modules.
  4. The main.rs is a small program that "consumes" the library, for easy testing.

Usage

use scap::{
    capturer::{Point, Area, Size, Capturer, Options},
    frame::Frame,
};

fn main() {
    // Check if the platform is supported
    if !scap::is_supported() {
        println!("❌ Platform not supported");
        return;
    }

    // Check if we have permission to capture screen
    // If we don't, request it.
    if !scap::has_permission() {
        println!("❌ Permission not granted. Requesting permission...");
        if !scap::request_permission() {
            println!("❌ Permission denied");
            return;
        }
    }

    // Get recording targets
    let targets = scap::get_all_targets();
    println!("Targets: {:?}", targets);

    // All your displays and windows are targets
    // You can filter this and capture the one you need.

    // Create Options
    let options = Options {
        fps: 60,
        target: None, // None captures the primary display
        show_cursor: true,
        show_highlight: true,
        excluded_targets: None,
        output_type: scap::frame::FrameType::BGRAFrame,
        output_resolution: scap::capturer::Resolution::_720p,
        crop_area: Some(Area {
            origin: Point { x: 0.0, y: 0.0 },
            size: Size {
                width: 2000.0,
                height: 1000.0,
            },
        }),
        ..Default::default()
    };

    // Create Capturer
    let mut capturer = Capturer::build(options).unwrap();

    // Start Capture
    capturer.start_capture();

    let mut input = String::new();
    std::io::stdin().read_line(&mut input).unwrap();

    // Stop Capture
    capturer.stop_capture();
}

Python bindings

The optional Python extension is built with maturin and returns captured data as owned NumPy arrays. Install a development build with:

python -m pip install maturin numpy
maturin develop --features python

Example:

import scap

if not scap.has_permission():
    if not scap.request_permission():
        raise RuntimeError("screen capture permission was denied")

options = scap.CaptureOptions(
    fps=30,
    output_type="bgra",
    output_resolution="720p",
)
capturer = scap.Capturer(options)
capturer.start()
try:
    frame = capturer.next_frame()
    print(frame.data.shape, frame.data.dtype, frame.format)
finally:
    capturer.stop()

Video arrays currently contain the native packed byte order reported by frame.format (rgb, rgbx, xbgr, bgrx, bgr0, or bgra) and have shape (height, width, channels). Audio arrays contain the owned raw bytes as a one-dimensional uint8 NumPy array; AudioFrameInfo exposes the sample format, channel count, sample rate, sample count, and planar layout.

The extension is feature-gated, so normal Rust builds are unchanged. macOS requires Screen Recording permission. Linux capture requires a working PipeWire and desktop portal setup.

License

The code in this repository is open-sourced under the MIT license, though it may be relying on dependencies that are licensed differently. Please consult their documentation for exact terms.

Contributors

Pranav Joglekar
Pranav Joglekar

💻
Siddharth
Siddharth

💻
Rohan Punjani
Rohan Punjani

💻
NiiightmareXD
NiiightmareXD

💻
MAlba124
MAlba124

💻
Anubhav Singhal
Anubhav Singhal

💻
Vasu Sharma
Vasu Sharma

💻

Credits

This project builds on top of the fabulous work done by:

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