--- title: How to capture images with various data presented in built-in QGIS description: Airly AI provides you with the capability to capture images presenting various data on a map, including road links, monitoring locations, human and ecological receptors, and a redline boundary of a development site. --- [Skip to content](https://support.airly.org/airly/how-to-capture-images-on-a-map#main-content) English Show submenu for translations ![200224\_Airly\_Logo\_Lockup\_White\_RGB.png\]](https://support.airly.org/hs-fs/hubfs/200224_Airly_Logo_Lockup_White_RGB.png?height=30&name=200224_Airly_Logo_Lockup_White_RGB.png) - [Default HubSpot Blog](https://5663293.hs-sites.com/blog) Open main navigation Close main navigation - [Default HubSpot Blog](https://5663293.hs-sites.com/blog) - English Show submenu for translations Hello. How can we help you? - There are no suggestions because the search field is empty. 1. [Airly AI data management in built-in QGIS](https://support.airly.org/airly/airly-ai-data-management-in-built-in-qgis) # How to capture images with various data presented in built-in QGIS ## Airly AI provides you with the capability to capture images presenting various data on a map, including road links, monitoring locations, human and ecological receptors, and a redline boundary of a development site. #### About images automation: The images prepared by you in QGIS are automatically sent to Airly AI for Word (Microsoft Word Add-in) and collected in the Files Library. These images can be used anytime for assessment write-ups in the add-in or exported to your computer. #### Initial conditions: To capture an image, you need to: - define an assessment (provide a title, assessment years, choose a type and scope of assessment, and upload a file with a development site plan), - confirm automatically collected data based on your assessment definition, - start refining a model domain in the built-in QGIS component. #### How to capture images with various data presented in built-in QGIS Follow these steps to create and save an image with a map: 1\. Navigate to the "**Refine model domain**" tab: ![Screenshot 2024-05-10 at 11.29.55](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.29.55.png?width=683&height=116&name=Screenshot%202024-05-10%20at%2011.29.55.png) 2\. **Zoom the map** to display the data points that should be visible in the image, such as the redline and the closest road links: ![Screenshot 2024-05-10 at 11.32.50](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.32.50.png?width=681&height=476&name=Screenshot%202024-05-10%20at%2011.32.50.png) 3\. Locate the top bar and click on the "**New print layout"** icon, ![Screenshot 2024-05-10 at 11.34.03](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.34.03.png?width=682&height=476&name=Screenshot%202024-05-10%20at%2011.34.03.png) 4\. Provide a **title for a print layout**: ![Screenshot 2024-05-10 at 11.37.19](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.37.19.png?width=688&height=476&name=Screenshot%202024-05-10%20at%2011.37.19.png) 5\. Access the **editing window,** which should appear automatically after saving the title of the print layout. Then, click the "**Add map**" icon on a left sidebar; the snap mode should activate: ![Screenshot 2024-05-10 at 11.51.12](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.51.12.png?width=688&height=481&name=Screenshot%202024-05-10%20at%2011.51.12.png)  6. **Snap the map** and wait for it to finish **rendering:** **![Screenshot 2024-05-10 at 11.55.39-1](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.55.39-1.png?width=688&height=476&name=Screenshot%202024-05-10%20at%2011.55.39-1.png)** 7\. Go to the top bar and click on the "**Layout**" option, then choose "**Export as image**": ![Screenshot 2024-05-10 at 11.55.39-1](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.55.39-1.png?width=688&height=476&name=Screenshot%202024-05-10%20at%2011.55.39-1.png) 8\. Select the folder "**My files/Home folder"** and save the image. Well done! 🎉 ![Screenshot 2024-05-10 at 11.58.02](https://support.airly.org/hs-fs/hubfs/Screenshot%202024-05-10%20at%2011.58.02.png?width=688&height=478&name=Screenshot%202024-05-10%20at%2011.58.02.png) #### Expected benefits: 👍 Your image will be automatically attached to a Traffic Data Request Template for a transport consultant, allowing them to see the development site surroundings, including road links preselected by you. 👍 Your images will be automatically sent to Airly AI for Word Add-in and collected in the Files Library. These images can be added to your assessment written in Word at any time.  👍 Your images can be exported from Airly AI to your desktop, if you need to use them outside Airly systems. #### **Any questions or suggestions?** Just ask via ai-support@airly.org.  - [FAQ](https://support.airly.org/airly/faq) - [Information about Air Quality Sensors](https://support.airly.org/airly/information-about-air-quality-sensors) - [Installation and Use of Sensors](https://support.airly.org/airly/installation-and-use-of-sensors) - [Troubleshooting](https://support.airly.org/airly/troubleshooting) - [Air Quality Indexes and Indicators](https://support.airly.org/airly/air-quality-indexes-and-indicators) - [Data and Analytics Platform (ADP)](https://support.airly.org/airly/data-and-analytics-platform-adp) - [API and Integrations](https://support.airly.org/airly/api-and-integrations) - [Airly AI assessment definition](https://support.airly.org/airly/airly-ai-assessment-definition) - [Airly AI data management in built-in QGIS](https://support.airly.org/airly/airly-ai-data-management-in-built-in-qgis) - [Airly AI ADMS files generation](https://support.airly.org/airly/airly-ai-adms-files-generation) - [Regulations and standards](https://support.airly.org/airly/regulations-and-standards) - [Default HubSpot Blog](https://5663293.hs-sites.com/blog) [![](https://support.airly.org/hs-fs/hubfs/Airly_Logo_Niebieskie_RGB.jpg?width=4168&height=1323&name=Airly_Logo_Niebieskie_RGB.jpg)](http://airly.org) Copyright © 2026, Airly sp. z o.o.