Smart Annotation

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Beschreibung

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

Test-Beschreibung

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

Informationen zu dieser Version

Version 2.15.7, 10.07.2025
- Reported bug fixed


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Kundenbewertungen

2 Bewertungen
Technische Hilfe erhalten
  • Leaders aren't showing up when i run Tag And Arrange command
    Sharoon Samuel | Juli 25, 2025 Geprüfter Download (Was ist das?)

    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 (Herausgeber) | August 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 | April 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 | Mai 22, 2025

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

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