language
53 TopicsPersian Font Rendering Issue in Word for macOS – B Nazanin Not Connecting Letters Properly
Hi everyone, I'm encountering a persistent issue with Persian font rendering in Microsoft Word for macOS. When using fonts from the B family—especially the widely used B Nazanin—letters do not connect properly. For example, in words like "خیابان" or "ایران", the characters appear disjointed, breaking the natural flow of Persian script. This issue affects all fonts in the B family, including B Nazanin, B Mitra, B Titr, and others. These fonts are extremely popular and commonly used in Persian-language documents, both professionally and academically. The problem seems specific to Word on macOS, as the same fonts render correctly in Apple’s Pages app, where letter connections are preserved. I’ve tried: Reinstalling and testing multiple versions of B fonts Adjusting language and region settings Enabling complex script support None of these resolved the issue. Request Can Microsoft investigate this rendering inconsistency in Word for macOS? Proper support for Persian script—especially for widely used fonts like the B family—is essential for users in Iran and Persian-speaking communities worldwide. Any help, workaround, or insight from the community or Microsoft team would be greatly appreciated. As shown in this image, the character "ن" is not rendered correctly. The word should appear as "خیابان وزرا" with proper letter connections to reflect accurate Persian script formatting.63Views0likes0CommentsAnnouncing the Text PII August preview model release in Azure AI language
Azure AI Language is excited to announce a new preview model release for the PII (Personally Identifiable Information) redaction service, which includes support for more entities and languages, addressing customer-sourced scenarios and international use cases. What’s New | Updated Model 2025-08-01-preview Tier 1 language support for DateOfBirth entity: expanding upon the original English-only support earlier this year, we’ve added support for all Tier 1 languages: French, German, Italian, Spanish, Portuguese, Brazilian Portuguese, and Dutch New entity support: SortCode - a financial code used in the UK and Ireland to identify the specific bank and branch where an account is held. Currently we support this in only English. LicensePlateNumber - the standard alphanumeric code for vehicle identification. Note that our current scope does not support a license plate that contains only letters. Currently we support this in only English. AI quality improvements for financial entities, reducing false positives/negatives These updates respond directly to customer feedback and address gaps in entity coverage and language support. The broader language support enables global deployments and the new entity types allow for more comprehensive data extraction for our customers. This ensures an improved service quality for financial, criminal justice, and many other regulatory use cases, enabling more accurate and reliable service for our customers. Get started A more detailed tutorial and overview of the service feature can be found in our public docs. Learn more about these releases and several others enhancing our Azure AI Language offerings on our What’s new page. Explore Azure AI Language and its various capabilities Access full pricing details on the Language Pricing page Find the list of sensitive PII entities supported Try out Azure AI Foundry for a code-free experience We are looking forward to continuously improving our product offerings and features to meet customer needs and are keen to hear any comments and feedback.297Views1like0CommentsThe Future of AI: How Lovable.dev and Azure OpenAI Accelerate Apps that Change Lives
Discover how Charles Elwood, a Microsoft AI MVP and TEDx Speaker, leverages Lovable.dev and Azure OpenAI to create impactful AI solutions. From automating expense reports to restoring voices, translating gestures to speech, and visualizing public health data, Charles's innovations are transforming lives and democratizing technology. Follow his journey to learn more about AI for good.1.4KViews2likes0CommentsTranslating forms offline
Hi Forms gurus - I have a number of large forms that require translation. The process for translation online is simple, but I was wondering if there was a way to export the primary language of the form in a format that could be translated into a handful of languages offline (through a CSV or Excel or even XLIFF) and that could then be imported back into Forms? Many thanks!609Views1like1CommentOneNote not Converting Devanagari Handwriting to Text.
I installed the Hindi language onto one note and tried to convert my Devanagari handwriting to text but it didn't work and it says the language is not even installed. I've tried all the troubleshooting tips and nothing worked.90Views0likes1CommentFind out in which language a form was submitted
Hello Community I've set up a Microsoft Forms in mutiple languages, so my user can choose the language in which he or she wishes to fill it out. After that, I want to automatically reach out to them with an email when they're done filling out the form. For that, I made a Microsoft Flow. Considering that my form is available in multiple languages is there a parameter that tells me in which language my user chose to fill out the form? So I can send them their mail in the correct language? Thanks in advance!2.3KViews0likes7CommentsYour Video Insights, Promptly Extracted: Azure AI Video Indexer's Preview of Prompt-Ready API
Have you ever watched an online course and wished you could ask questions on the entire course, or have a comprehensive summary of a video? This can all now be achieved with Azure AI Video Indexer and an LLM (Large Language Model) – powering each other. LLMs are powerful language models that can capture the essence of text and allow natural language question-answering and much more. In Azure AI Video Indexer, we understand videos – video content is more than just words, and a single shot can contain a wealth of insights that are critical for its understanding. Coupling these two powerful tools can lead to great results in video understanding, and downstream tasks in natural language. Our new API extracts and processes all the multi-modality insights of a video into prompt-ready format, that can be easily used with LLMs.7.4KViews1like3Comments