EasySpecy

Record like a pro. Pay like it's 2005.

A free, open-source, high-performance screen recorder for developers, creators, and power users. Captures high-framerate desktop feeds with cinematic auto-zoom, customizable cursor trails, keyboard overlays, and live webcam PIP.

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Interface Preview

Here is how EasySpecy looks in action, displaying the sleek, high-fidelity light-mode interface:

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Bento Feature Showcase

The modular capture layers are represented in our high-end bento architecture:

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High-Level Design (HLD) & System Architecture

EasySpecy is built on a split-architecture model that divides tasks between a web-standard frontend UI and a highly optimized native systems backend.

Subsystem Flowchart

Core Architecture Highlights

1. Zero-Copy Display Frame Capture:

   • Rather than scanning memory buffers periodically, the Rust core queries frame updates directly from GPU display surfaces using native system APIs (e.g. Windows Graphics Capture on Windows, ScreenCaptureKit on macOS).
   • This provides hardware-assisted, sub-millisecond capturing performance, ensuring screen captures remain locked at 60 FPS even under heavy gaming or CPU rendering loads.

2. Parallel Frame Post-Processor & Cursor Trails:

   • The captured display frames undergo a processing pipeline that overlays vector-interpolated cursor trails, click wave ripples, and auto-zoom calculations.
   • These compute-heavy operations are chunked and executed in parallel across a CPU thread pool using Rayon. It prevents CPU thread bottlenecks and maintains consistent framerates.

3. Webcam PIP Overlay:

   • The facecam feed runs in a dedicated, transparent picture-in-picture viewport.
   • It captures the camera feed natively on the client using the browser's hardware-accelerated Media Devices API. It is overlayed directly as a hardware-composited window, allowing the screen capturer to record it as part of the desktop scene with zero extra rendering lag.

4. Keyboard Overlay Engine:

   • Real-time keystrokes are captured using native system-wide listener hooks binded via Tauri.
   • The captured input events are pushed through the IPC bridge, prompting immediate render states inside the overlay component.

5. High-Performance Audio Pipeline & RNN Filter:

   • Audio inputs are handled using the cpal systems audio interface. The engine captures microphone inputs and loopbacks system audio, converting them to clean single-format PCM audio buffers.
   • The microphone stream is piped directly through nnnoiseless (a Rust implementation of Mozilla's RNNoise Recurrent Neural Network). The neural network isolates vocal signals and strips out keyboard typing, clicks, and background ambient sounds.

6. FFmpeg Sub-Process Streaming:

   • Processed frames (RGBA) and clean audio bytes (PCM) are written directly into an active, low-overhead FFmpeg subprocess pipe.
   • The frames are encoded on the fly (leveraging hardware encoders like H.264 NVENC/AMF/QSV when available) and written to the output file wrapper (.mp4), ensuring the video is ready immediately on stop with zero post-processing delay.

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Platform Support Matrix

Feature	Windows	macOS	Linux
Display Capture (60 FPS)	Yes (WGC)	Yes (SCK)	Experimental (PipeWire)
Cinematic Auto-Zoom	Yes (Direct)	No	No
Vector Cursor Trails	Yes (Direct)	No	No
Keyboard Overlay	Yes (Tauri Win Hook)	No	No
Webcam Overlay	Yes (Direct)	Yes (Direct)	Yes (Direct)
RNN Audio Noise Gate	Yes (RNNoise)	Yes (RNNoise)	Yes (RNNoise)
Hardware Encoding	Yes (NVENC/AMF)	Yes (VideoToolbox)	Experimental (VAAPI)

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Build from Source

Prerequisites

Ensure you have the following installed on your machine:

• Rust Toolchain (via rustup)
• Node.js v20+ (with npm)
• FFmpeg (installed and added to your system PATH)
• MSVC Build Tools (for compiling native Windows bindings)

Build Steps

1. Clone the repository:

   git clone https://github.com/IsNoobgrammer/EasySpecy.git
   cd EasySpecy

2. Install frontend dependencies:

   npm install

3. Start the development server (Live Hot Reloading):

   npm run tauri dev

4. Build the production installer:

   npm run tauri build

   The built installer .exe will be located under src-tauri/target/release/bundle/nsis/.

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Additional Resources

• Full Documentation Site — Detailed configurations and advanced guides.
• Auto-Zoom Guide — Learn how to tweak easing curves.
• Contributing Guidelines — Help us make EasySpecy better!

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EasySpecy is built with Rust + Tauri • Maintained by Shaurya • Documentation

Released under the MIT License