Reco
Reco is a free desktop tool for turning two camera feeds into a panoramic sports view and tracking the play with AI.
What Reco is
Reco is a free desktop tool for turning two camera feeds into a panoramic sports view and tracking the play with AI. It can detect balls and players, with configurable framing presets. Automatic calibration matches visual features, while timing between cameras can be synchronized using IMU data or audio cross-correlation.
The same engine is available as a desktop app, command-line interface, library, and OBS plugin. Reco accepts GStreamer camera input and can submit frames to OBS and live streams. Listed targets include Linux, macOS, Windows, NVIDIA Jetson Orin, and cloud workers. The project says processing runs on hardware users own and footage stays theirs; it also says it collects no usage data, sends no telemetry, and makes no network requests unless users configure them. The engine uses the AGPL-3.0-only license, with no public paid tier. iOS and Android support points exist, but concrete implementations are still to come.
Good
- Free, with no public paid tier
- Detects balls and players with configurable framing
- Offers an OBS plugin and live-stream support
- Runs on Linux, macOS, and Windows
- Says it sends no telemetry or usage data
Watch out
- iOS and Android implementations are not ready
- Engine is licensed under AGPL-3.0-only
Who it suits
Reco suits coaches and parents who want a panoramic sports view, as well as hardware builders and developers embedding its engine in their own tools.
Verdict
Reco combines two-camera panoramic stitching with AI play tracking and tools for desktop and live production. Its mobile implementations are not yet available, and the engine uses an AGPL-3.0-only license.
Plans and prices
From Reco's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free and open source | Free | Desktop app, CLI, Rust library, OBS plugin · two-camera panoramic sports filming · local processing · No subscription or public paid tier |
The facts
Each one read from Reco's own pages, with the date it was checked.
What it does
- AI tracking
- AI tracking detects balls and players and applies automatic camera movement with lookahead smoothing.checked 15 Oct 2026
- API and extensibility
- The Rust engine exposes StitchCore frame-submission methods and reusable library crates for applications and plugins.checked 15 Oct 2026
- Architecture
- The repository is split into nine Rust crates covering core rendering, I/O, detection, autocamera logic, calibration, controls, CLI, GUI and OBS.checked 15 Oct 2026
- Build requirements
- Building requires Rust 1.92 or newer, FFmpeg development libraries, pkg-config and Clang.checked 15 Oct 2026
- Calibration
- Automatic calibration uses AKAZE feature matching, IMU or audio cross-correlation for synchronization, and Gyroflow lens profiles.checked 15 Oct 2026
- Camera calibration
- Automatic calibration uses AKAZE feature matching and IMU or audio cross-correlation for temporal sync.checked 4 Oct 2026
- Command line interface
- The CLI supports calibration, stitching, preview, camera capture, analysis and information commands.checked 15 Oct 2026
- Commercial licensing
- The repository says commercial licensing questions should be directed to the maintainer and that no public paid tier exists.checked 15 Oct 2026
- Community size
- The GitHub repository showed 56 stars, 19 forks and five watchers when opened.checked 15 Oct 2026
- Detection backends
- Detection supports ONNX Runtime on CPU, CUDA and CoreML, NCNN, and native TensorRT engines.checked 15 Oct 2026
- Documentation
- Documentation consists of README quick-start commands, build instructions, feature flags, generated Rust-doc guidance, contributing rules and a community forum.checked 15 Oct 2026
- GPU support
- The renderer uses wgpu with Vulkan, Metal and DirectX 12 backends and is described as achieving more than 500 frames per second on modern desktop GPUs.checked 15 Oct 2026
- Hardware
- The project lists Linux, macOS, and Windows desktops, NVIDIA Jetson Orin, and cloud workers as supported targets.checked 4 Oct 2026
- Hardware decode
- Zero-copy decoding is available through NVDEC on Linux and Windows and VideoToolbox on macOS.checked 15 Oct 2026
- Intended users
- The website presents Reco for coaches and parents, hardware builders, and developers embedding the engine in their own tools.checked 4 Oct 2026
- Latest release
- Release v0.5.4 was published on August 7, 2026, with a macOS FFmpeg 9 compatibility build and fixes for audio alignment, model validation, checksums and vulnerable dependencies.checked 15 Oct 2026
- Licence
- The code is released under AGPL-3.0-only.checked 15 Oct 2026
- License
- The engine is licensed under AGPL-3.0-only; the repository says there is no public paid tier.checked 4 Oct 2026
- Limit: calibration failures
- An open issue reports repeated auto-calibration failure with two Android phones because lens matching produced too few usable feature pairs.checked 15 Oct 2026
- Limit: export compatibility
- The issue tracker lists HEVC exports that cannot play in QuickTime or Safari because of an hvc1 versus hev1 container tag problem.checked 15 Oct 2026
- Limit: image quality
- The issue tracker includes reports of pixelated or blurry exports even when the preview appears correct.checked 15 Oct 2026
Where it runs
- App and tools
- The project offers a desktop app, CLI, library, and OBS plugin built on the same engine.checked 4 Oct 2026
- Desktop application
- Reco provides a Slint desktop application with GPU preview and export controls.checked 15 Oct 2026
The company
- Company identity
- The public repository identifies the project under the reco-project GitHub organization and does not publish a legal company name, headquarters or founding year.checked 15 Oct 2026
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