Once survey data has been imported into your CAD environment, finding errors can be one of the most time-consuming parts of the workflow. Duplicate points, missing string parameters, incorrect elevations, and self-intersecting strings can remain hidden amongst thousands of survey observations, often only becoming apparent after surfaces have been created.
String Audit, new in Stringer v27, changes that.
Powered by artificial intelligence, String Audit automatically scans your survey strings and COGO points, identifies common data issues, and recommends intelligent repairs, all in a matter of seconds.
The result is cleaner survey data, more reliable surfaces, and significantly less time spent troubleshooting.

Survey data quality is critical to every downstream design and modelling task.
Rather than manually reviewing thousands of observations, String Audit performs a comprehensive analysis of your survey data, the data that drives every design decision.
This proactive approach allows surveyors to resolve problems early, improving confidence in identifying issues before they have the opportunity to affect your project.
String Audit automatically identifies a wide range of common survey data problems, including:

Instead of manually searching through drawings, every issue is clearly presented for review, making quality assurance faster and more consistent.
Once an issue has been identified, String Audit makes it easy to investigate.
Simply select an item from the audit results and Stringer automatically zooms to the exact location in your drawing.

This immediate visual feedback allows you to quickly understand the issue, verify the problem, and decide on the most appropriate course of action.
No more searching through thousands of survey observations trying to locate a single error.
Finding problems is only half the solution.
String Audit also provides intelligent repair tools capable of automatically correcting many common survey issues.

Users can repair individual problems or choose Fix All Auto to apply every available correction in a single operation.
Automatic repairs include:
This dramatically reduces the time spent performing repetitive editing tasks while improving overall survey quality.
Although String Audit can automate many repairs, surveyors remain in complete control.
Every repair operation is fully integrated with the Stringer Undo system, allowing changes to be reviewed and reversed if required.
This provides the confidence to take advantage of automation while maintaining full control over project data.
Not every survey issue is immediately obvious.
When you’re unsure what’s causing a problem, simply describe what you’re seeing in plain English.

The built-in AI assistant analyses your survey data, explains potential causes, and recommends the most appropriate solution based on the information available.
Rather than searching documentation or relying on trial and error, surveyors can receive intelligent, context-aware guidance directly within Stringer.

Clean survey data is the foundation of every successful project.
By automatically identifying errors, recommending repairs, and providing AI-assisted guidance, String Audit helps surveyors detect problems earlier, improve data quality, and reduce costly downstream issues.
Instead of spending hours manually validating survey information, teams can focus on delivering accurate, reliable project outcomes.
String Audit represents a major step forward in survey data validation.
By combining automated error detection, intelligent repairs, and AI-powered guidance, Stringer V27 gives surveyors a faster and more reliable way to maintain high-quality survey data.
The result is fewer errors, cleaner surfaces, and greater confidence in every project.
String Audit is available now in Stringer v27 as part of the platform’s growing suite of AI-powered productivity tools.
Discover how automated survey validation can help you find problems faster, improve data quality, and spend less time troubleshooting your survey projects.


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