Excel: Extract Text with Modern Formulas

Key insights

• TEXTBEFORE: Returns the text before a specified delimiter and can target the nth occurrence. Example: =TEXTBEFORE(A2," ") returns "Global".
  
• TEXTAFTER: Returns the text after a delimiter and supports negative instances to get the last match. Example: =TEXTAFTER(A2," ",-1) returns "Summit".
  
• TEXTSPLIT: Splits a string into multiple cells by a delimiter and spills results across rows or columns, e.g., =TEXTSPLIT(A2," ") → {"Global","Excel","Summit"}.
  
• REGEXEXTRACT: Uses regular expressions to pull complex patterns from text when simple delimiters are not enough; it returns the matching group you specify.
  
• Dynamic arrays: These functions use Excel’s dynamic array engine so results automatically spill into adjacent cells, replacing many nested LEFT/MID/FIND formulas and improving readability. Available in Excel 365 and Excel 2021.
  
• Power Query and AI: Combine built-in Power Query text functions or AI-assisted tools for large-scale cleaning, transformation, and advanced extraction across Excel and Power BI.
  

Overview of the video

David Benaim’s recent you_tube_video walks viewers through Microsoft Excel’s modern text extraction tools and demonstrates practical examples. He breaks the content into clear segments with timestamps, guiding through core functions, a REGEX extract example, and a brief look at using AI to assist with text extraction. Overall, the presentation aims to show how these new formulas simplify text parsing compared with older techniques.

In addition, the video references downloadable example workbooks that support the demonstrations, which viewers can obtain from the author’s site. Moreover, Benaim uses short, focused clips to highlight specific functions, making it easier to follow each technique in isolation. Consequently, the structure helps viewers test each approach in their own spreadsheets.

Importantly, the video frames these tools as part of Microsoft’s broader push toward dynamic arrays and simpler syntax in Excel. Therefore, viewers learn not only the formulas but also when and why to prefer them over legacy formulas like LEFT, MID, and FIND. This context makes the video useful both to beginners and to experienced users seeking more efficient workflows.

Core functions explained

Benaim demonstrates the new extraction functions including TEXTBEFORE, TEXTAFTER, and TEXTSPLIT, explaining how each one targets text around a delimiter. For example, he shows how TEXTBEFORE returns everything before a specified delimiter while TEXTAFTER returns the remainder after that delimiter. In turn, TEXTSPLIT splits a string into multiple cells across rows or columns, which is particularly handy for parsing standardized lists.

Furthermore, the video covers the use of REGEX variants for pattern-based extraction and touches on when regular expressions offer more power than delimiter-based splits. Benaim points out that regular expressions handle complex, variable patterns but require a firmer grasp of pattern syntax. He also contrasts these with the simpler functions to help viewers choose the right tool.

Another important dimension that Benaim highlights is interoperability with other Microsoft tools. For example, he compares these functions to Power Query text operations and notes that Power Apps retains familiar text functions for app scenarios. As a result, viewers can appreciate how these capabilities fit into broader data-prep and app-building workflows.

Practical examples and benefits

The video uses concrete examples such as splitting the phrase “Global Excel Summit” to show how these formulas behave in real sheets. Benaim demonstrates extracting the first word with TEXTBEFORE, the last word with TEXTAFTER, and breaking the phrase into separate cells with TEXTSPLIT. These examples make the functions’ behavior intuitive and easy to replicate.

Moreover, he emphasizes key benefits such as simpler syntax, improved readability, and dynamic array behavior that removes the need for many nested legacy formulas. Consequently, maintenance becomes easier and formulas become less error-prone, which helps teams collaborate on spreadsheets. In addition, the ability to specify the nth occurrence of a delimiter makes the functions flexible for structured text.

However, he also points out important practical constraints like version compatibility and array spill behavior that users must consider. For instance, these formulas are native to Excel 365 and newer builds, so older Excel versions will not support them. Therefore, teams should confirm compatibility before standardizing on these functions for widely shared workbooks.

Tradeoffs and technical challenges

While the new formulas simplify many tasks, Benaim explains that tradeoffs remain between ease of use and advanced control. For example, TEXTSPLIT works well for consistent delimiters, but REGEX still proves necessary for messy or variable formats. Thus, choosing between readability and raw parsing power depends on the specific dataset and user skill.

Moreover, the presenter discusses performance and maintenance challenges when working with very large datasets or complex expressions. Regular expressions can be computationally heavier and harder to debug, and dynamic arrays may require downstream adjustments when results spill into neighboring cells. Consequently, teams must weigh execution speed, clarity, and long-term maintainability when designing solutions.

Finally, Benaim addresses the introductory AI segment and its practical implications, noting that AI can accelerate pattern detection and suggest formulas, but it may produce imperfect results. Therefore, human review remains essential to validate outputs, enforce data governance, and avoid over-reliance on automated suggestions. In short, AI adds convenience but not complete automation for quality control.

Conclusions and recommendations

David Benaim’s you_tube_video provides a clear, hands-on introduction to Excel’s modern text extraction functions and offers realistic guidance for everyday use. It balances demonstration with caution, encouraging users to adopt these functions for cleaner formulas while testing them against legacy approaches. As a result, viewers gain both practical recipes and the context needed to choose the right tool for each job.

For organizations, the takeaway is to pilot these functions on non-critical files and confirm that collaborators have compatible Excel versions. Meanwhile, power users should keep REGEX and performance considerations in mind when parsing complex or large-scale data. Ultimately, Benaim’s video serves as a useful resource for those who want faster, more readable text extraction in Excel, provided they also manage compatibility and validation tradeoffs carefully.

Keywords

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