Smart Annotation

Smart Annotation

Digitally signed app

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描述

Smart Annotation is an AI-powered Autodesk® Revit® add-in to automate annotating and documentation process of the drawings. The AI algorithm behind the app places tags in their preferred positions and aligns them with other tags without overlapping with other elements in the document. 

Due to the nature of documentation and the variety of options to document drawings, the Smart Annotation app is highly customizable and provides a user-friendly interface for the users to arrange and annotate drawings to their standards.

Now you can use Smart annotation to tag Fabrication parts in Revit. 

Also, you can use the Smart annotation app to read all the part parameters and link them live to your shared parameters. 

*** Currently we only support MEP documentation. We are working on the architectural package and will release it soon ****

 

Sign up and start your 30-day free trial now. 

https://bimlogiq.com/product/smart-annotation

试用版描述

You can activate your 30-day trial inside the Revit by clicking "Activate my 30-day trial".

关于此版本

版本 2.15.7, 2025/7/10
- Reported bug fixed


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客户评论

2 评论
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  • Leaders aren't showing up when i run Tag And Arrange command
    Sharoon Samuel | 七月 25, 2025 验证的下载 (这是什么?)

    I have leader settings turned in my template, but when i run Tag And Arrange command, no leaders show up on my tags. Not sure how to fix this. 

    Ali Najmi (发布者) | 八月 18, 2025

    Hi Sharoon, Thank you for your comment. This issue may be due to the tags are configured to be placed inside the object. If you could please email us at support@bimlogiq.com, we’d be happy to arrange a demonstration session to walk you through the tool in detail. Thanks


  • Works well with not too busy areas
    Anton Ramenskiy | 四月 07, 2024

    I like this tool. I has lots of different settings, so you can set it up as per your specific requirements quite easily. The only thing that i dont like is that it takes quite a while to process request on a server. I wonder if it would be possible to offload trained model from the server to a user computer. Many of us have powerfull computers with decent specs.

    Nasir mazrooei | 五月 22, 2025

    You can utilize the new "Quick Arrangement" feature to run the arrangement process on your machine locally!

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