[Introduction]
OneDrive and SharePoint now support viewing and editing Markdown (.md) files directly in the browser. No downloads or third-party tools are needed. Open any Markdown file to see a clean, formatted view, or switch to the built-in editor with a toolbar, side-by-side preview, and syntax support. Whether you’re working with documentation, README files, Markdown files generated by your AI assistant, or notes, OneDrive makes it easy to read and update Markdown content right where your files live.
[When this will happen:]
- General Availability (Worldwide): Rollout begins mid-April 2026 and is expected to complete by late May 2026.
[How this affects your organization:]
Who is affected:
- All users accessing Markdown (.md) files stored in OneDrive and SharePoint
What will happen:
- Markdown files open directly in the browser with a side-by-side experience
- Raw Markdown editor is found on the left and rendered preview on the right, updating in real time
- Rich previews render tables, images, code blocks, and links using Fluent 2 typography
- A built-in formatting toolbar simplifies editing
- Markdown files can be created, edited, and organized alongside other Microsoft 365 files
- The feature is enabled by default and respects existing access controls
[What you can do to prepare:]
- No admin action is required
- Consider updating training or documentation as appropriate
- Inform helpdesk teams about the new in-browser experience
Before rollout, we will update this post with new documentation.
[Compliance considerations:]
No compliance considerations identified, review as appropriate for your organization.
Source: Microsoft
Latest Posts
- Amazon ECS now automatically detects and repairs container instances with impaired agent connectivity

- Amazon EKS now supports multiple external OIDC identity providers per cluster

- AWS Neuron 2.32 introduces expanded NKI programming, MXFP8 training kernels, and variable-size collectives for Trn2 and Trn

- MC1258000: Microsoft Purview Data Security Investigations Adds Endpoint DLP Events as Queryable Source for File Analysis







