Download — Stitch2Stream

Desktop Application

Windows · macOS · Linux

🪟

Windows

Full GUI · DirectShow capture · CUDA GPU

Windows 10 22H2 or Windows 11
DirectX 12 · 8 GB RAM
NVIDIA RTX 2000+ for GPU stitching

⬇ Download .exe

vr_stitcher_setup.exe · ~180 MB

🍎

macOS

Apple Silicon · Metal GPU · AVFoundation

macOS 13 Ventura or later
Apple M1 / M2 / M3 / M4
ARM64 native — no Rosetta needed

⬇ Download .dmg

Stitch2Stream.dmg · ~165 MB

🐧

Linux

Ubuntu 22.04 / 24.04 · V4L2 · Headless-capable

Ubuntu 22.04 LTS or 24.04 LTS
Qt6 / OpenCV / FFmpeg via apt
CUDA optional — CPU fallback built-in

⬇ Download .tar.gz

stitch2stream_linux_amd64.tar.gz · ~140 MB

Companion Apps

Monitor from anywhere

📱

Lil' Eye — iOS

Live MJPEG director preview, SSE stats HUD, QR-code server discovery. Metal-accelerated equirect display.

iPhone / iPad · iOS 16+
Same Wi-Fi network as the S2S host
Requires Starter Pro or above

App Store →

🤖

Lil' Eye — Android

Kotlin + Vulkan renderer. Identical feature set to iOS — live preview, SSE stats, auto-discovery.

Android 10+ · Vulkan 1.1
Same Wi-Fi network as the S2S host
Requires Starter Pro or above

Google Play →

🥽

Lil' Viewer — Meta Quest

Standalone OpenXR VR180 stereo dome viewer. AI confidence bar, pinch-to-pause, full 180° immersive preview.

Meta Quest 2 / 3 / Pro
OpenXR native — no Unity, no SteamVR
Requires Creator plan

Meta App Lab →

Cloud & Server

Headless Docker image

Run the stitching daemon in a container — no GUI needed. REST API for full control. Ideal for cloud rendering pipelines, rack deployments, and CI/CD workflows.

View Dockerfile on GitHub →

        # Pull and run

        docker pull ghcr.io/stitch2stream/s2s:latest

        docker run -d \

          -p 7892:7892 \

          -p 1935:1935 \

          -e S2S_LICENSE_KEY=<key> \

          ghcr.io/stitch2stream/s2s:latest

        # docker-compose also available

Quick Start

Up and running in 5 minutes

1

Download & install

Run the installer for your platform. On Windows, run vr_stitcher_setup.exe. On macOS, open the DMG and drag to Applications. On Linux, extract and run ./stitch2stream.

2

Connect your camera

Plug in your dual-fisheye camera. Stitch2Stream auto-detects DirectShow / AVFoundation devices and matches a lens profile from the built-in database. Custom JSON profiles can be imported for any rig.

3

Set your stream destination

Paste your RTMP stream key (YouTube / Twitch / Facebook) or a WHIP endpoint URL. SRT, NDI, and local recording are available from the same output panel.

4

Go live

Click Start Streaming. The web dashboard at localhost:7892 shows stream health, AI seam confidence, and a live MJPEG preview. Open the Lil' Eye app on your phone for a portable director view.

5

Unlock more with a license key

Go to Settings → License and enter your key to unlock GPU acceleration, higher resolutions, AI stitching, and more. Get a plan →

System Requirements

What you need

🪟 Windows — Minimum

OS	Windows 10 22H2
CPU	Intel i5-8th gen / Ryzen 5 3600
RAM	8 GB
GPU	Not required (CPU fallback)
Storage	500 MB

🪟 Windows — Recommended

OS	Windows 11
CPU	Intel i9-13th gen / Ryzen 9 7950X
RAM	32 GB
GPU	NVIDIA RTX 3080 / 4080 (CUDA)
Storage	2 GB + recording space

🍎 macOS — Minimum

OS	macOS 13 Ventura
Chip	Apple M1
RAM	8 GB unified memory
Storage	500 MB

🍎 macOS — Recommended

OS	macOS 14 Sonoma or 15
Chip	Apple M3 Pro / M4 Max
RAM	32 GB unified memory
Storage	2 GB + recording space

Get Stitch2Stream