What is the idea? Add a comprehensive spell-check functionality in Power BI / Microsoft Fabric reports that covers all text elements — including visual titles, axis names, column and measure names, legend labels, page tabs, tooltips, and any other text fields — not only text boxes. Why is this important? It enhances professionalism and credibility in reports shared with stakeholders. It ensures consistency and prevents misunderstandings caused by small spelling mistakes. It saves time: authors currently must manually review all text or rely on external tools. It improves accessibility, localization, and inclusiveness. It aligns Power BI with modern expectations for enterprise tools, as Word, Excel, and PowerPoint already include full spell-check support. Real-world example / Use-case: I live in Austria for five years now and work for a Business Intelligence consultancy where many dashboards are created in German. Many of our developers, however, are foreigners who are not native German speakers. As a result, misspellings often slip into production dashboards, especially when testing teams overlook minor linguistic details. A native spell-check system would prevent these errors and significantly improve report quality and consistency across multilingual teams — a situation shared by many BI professionals worldwide. What should it include? Red underlining and suggestions for misspelt words in all editable text fields. A configurable dictionary (supporting multiple languages and domain-specific terms). Options to enable or disable spell check per report or per element. A “Review Spelling” mode to scan the entire report for inconsistencies. Impact A global spell-check feature would directly enhance report quality, consistency, and trust, saving hours of manual proofreading for Power BI creators and teams across all industries and languages. PS: This Text was revised and enhanced using Artificial Intelligence.
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