> For the complete documentation index, see [llms.txt](https://mapir.gitbook.io/chloros/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mapir.gitbook.io/chloros/readme.md).
# Getting Started
Chloros is a software application from [MAPIR](https://www.mapir.camera) to process images and other sensor data.
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**What's New in Chloros 1.1.0**: Native Linux support (amd64 and arm64), NVIDIA Jetson edge computing, Dynamic Compute Adaptation, 4-thread processing pipeline, new CLI commands and options. See [Download](/chloros/download.md) for the full changelog.
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Chloros is available in 3 application modes:
## Chloros: Desktop GUI application
Standalone separate window with all features. *Windows only.*
## [Chloros CLI: Command line interface](/chloros/cli.md)
Command-line batch processing. Perfect for automation, scripting, and headless operation. Available on **Windows, Linux amd64, and Linux arm64 (NVIDIA Jetson)**. *CLI requires a Chloros+ license to access.*
## [Chloros API: Python SDK](/chloros/api-python-sdk.md)
Programmatic Python interface for automation and custom workflows. Perfect for research pipelines, integration with existing Python applications, and building custom tools. Available on **all platforms** via `pip install chloros-sdk`. *API requires a Chloros+ license to access.*
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## Supported Platforms
| Platform | GUI | CLI | Python SDK |
| ------------------------------- | --- | --- | ---------- |
| **Windows 10/11** | Yes | Yes | Yes |
| **Linux amd64 (x86\_64)** | No | Yes | Yes |
| **Linux arm64 (NVIDIA Jetson)** | No | Yes | Yes |
For Linux installation instructions, see the [Linux & Edge Computing](/chloros/linux-and-edge-computing/linux-overview.md) section.
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## Chloros+
While Chloros is free to use for most tasks, you may find you want more. That is where a paid license for Chloros+ can benefit you. With a Chloros+ license you can unlock new features such as:
* **Multi-threaded Processing**: greatly speed up image processing for larger projects by simultaneously processing images through the pipeline.
* **GPU (CUDA) Acceleration**: take advantage of today's higher GPU memory options to further speed up the image processing pipeline. We recommend 4GB or more of VRAM for best results.
* **Chloros+** [**CLI**](/chloros/cli.md) **Access**: run Chloros+ from the command line to automate and integrate into your own software.
* **Chloros+** [**API**](/chloros/api-python-sdk.md) **Access:** run Chloros+ from Python for programmatic control, enabling seamless integration with your research pipelines, data analysis workflows, and custom applications.
* **Multiple Device Usage**: each Chloros+ license allows for 2+ devices to be registered. Use your MAPIR Cloud account to manage registered devices. Add support for more devices by upgrading your Chloros+ license.
* **Advanced Texture Aware Debayer Method:** a high-quality edge-aware debayer combined with an AI/ML denoising model which removes nearly all the debayering noise.
* **Custom Multispectral Index Formulas:** enter in custom multispectral indices in the Chloros raster calculators, both for processing and the image viewing sandbox.
* **Linux & Edge Computing:** run Chloros on Linux x86\_64 and ARM64 platforms including NVIDIA Jetson for field and edge processing. See [Linux Overview](/chloros/linux-and-edge-computing/linux-overview.md).