Feature roadmap

In progress

These are areas that are closest to the current product direction and are likely to receive continued attention.

Documentation improvements

The VDO documentation is still expanding. More pages will be added to explain library setup, metadata workflows, AI features, search behavior, collections, playlists, and practical usage patterns in more depth.

Better onboarding for new libraries

Easy multilibrary switching and onboarding of larger libraries are being worked on to make onboarding easier and more intuitive.

Companion image support

VDO is primarily built for managing video libraries, but future versions may also support images that belong alongside videos. This includes poster art, cover images, thumbnails, and still photos captured during filming or stored with a collection. The goal is to preserve useful visual context without turning VDO into a full photo-management application.

Planned

These are features or improvements that fit naturally into VDO’s direction as a local-first video library application.

Advanced Semantic search

VDO supports semantic search to some extent right now. A future direction for VDO is more natural semantic search, allowing queries such as “show me all videos with blue sky” or “videos with happy faces” This would help users find content by meaning, emotion, background and not only loose semantic keyword matching.

Windows support

VDO currently targets macOS first. A Windows version is one of the most natural future expansions so that more users can manage their local video libraries without needing a Mac.

Better user experience

VDO will continue improving its overall user experience through a cleaner interface, smoother navigation, clearer actions, and more intuitive workflows. The goal is to make managing large video libraries feel simpler, faster, and less mentally heavy during everyday use.

Improved bulk metadata editing

As libraries grow, users often need to update many videos at once. Planned improvements may include faster bulk editing for tags, titles, ratings, playlists, and collections to reduce repetitive manual work.

Better import and review workflows

Importing videos into a growing library should become more efficient. Planned work includes making it easier to review newly added videos, organize them into the right collections, and clean up metadata after import.

Related-video improvements

Related videos are already a useful feature, but the ranking can continue to improve. Future work may include stronger weighting strategies, better handling of partial AI coverage, and more explainable relatedness signals.

Under consideration

These are promising ideas, but they still need more validation before they should be considered planned features.

Casting to TVs and compatible devices

VDO is primarily designed around local-first library management rather than broad multi-device streaming, but casting to a TV or other compatible device is a feature worth considering. This could make it easier to view selected videos on a larger screen without changing the core focus of the application.

Smarter diagnostic views for search and metadata

Advanced users may benefit from more visibility into why a video appears in search results or why another video is considered related. This could help make VDO more transparent and easier to tune over time.

Export and backup helpers

Since VDO is built around local ownership, backup and portability matter. A future direction could include easier ways to export metadata, preserve indexing-related data, or help users move a library more safely between systems.

Face tagging

Face tagging is being considered as a way to help users identify and organize videos around recurring people. This could support search and discovery for personal or archival libraries, but it needs careful design because of privacy, accuracy, and the added complexity of managing identity data.

Richer filtering and library views

Libraries often need more than a single search box. More powerful filtering, saved views, or alternative browsing workflows may become useful as users build larger and more complex archives.

Longer-term ideas

These are broader ideas that fit the vision of the product, but they are more exploratory and should be treated as possible future directions rather than expected short-term changes.

Confidence-aware AI ranking

Today, AI-enabled features can strengthen discovery and search. Over time, VDO may move toward more confidence-aware ranking models that better balance lexical, structural, and semantic signals depending on the quality of available metadata.

Incremental reindexing for large libraries

As collections grow, indexing efficiency becomes more important. Longer-term work may focus on reducing full-library recomputation and making indexing more incremental, selective, and resource-aware.

Deeper analytics for personal libraries

Some users may benefit from insights into their own library, such as metadata completeness, organizational gaps, heavily used collections, or files that need cleanup. This would need to be done carefully so it remains useful rather than noisy.

How to read this roadmap

The roadmap is intended as a guide to product direction. It may change as the application evolves, as real-world usage reveals better priorities, or as technical constraints become clearer.

In short: VDO is actively evolving, but the goal is to improve it carefully in ways that preserve its local-first, privacy-respecting, and library-focused design.