Shade is a cloud asset management platform that provides file storage, media review tools, and natural language search capabilities.
Shade is a cloud-based media storage and asset management platform engineered for video creators, production teams, brand marketing departments, and sports organizations. The software combines remote file streaming, AI-driven media search, metadata organization, and collaborative review functionality into a unified platform. By linking cloud infrastructure directly to local desktop environments, it allows geographically dispersed teams to interact with high-resolution video and graphic files without managing manual uploads or local storage hardware.
The platform operates via a proprietary virtual file system called ShadeFS. By mounting cloud drives directly to macOS or Windows operating systems, Shade enables users to open and interact with remote files using local shortcuts, such as Command-O on Mac or Control-O on Windows. Rather than requiring entire files to download before use, the system streams data at the byte level on demand. This approach allows creative software applications to read remote media assets instantly as if they were stored on an attached solid-state drive.
For media discovery, Shade integrates artificial intelligence capable of parsing video and audio content. The system automatically processes uploaded files to extract system metadata from over 100 formats, detect visual scenes, recognize human faces, and transcribe spoken audio with exact timecodes. Users can locate specific project assets by typing descriptive natural language sentences rather than relies solely on manually assigned tags or rigid folder hierarchies.
In addition to storage and retrieval, Shade incorporates tools for asset review, version control, and client delivery. Reviewers can leave time-stamped feedback, draw visual annotations on individual frames, and attach supporting documentation to comment threads. Granular access controls permit administrators to manage permissions across workspaces, individual drives, folders, and shared web links while controlling comment visibility for internal teams versus external clients.
Remote video editors can stream high-resolution media formats directly into non-linear editing programs without downloading full files beforehand. By mounting cloud storage as a virtual local drive, editors drag raw camera footage onto their timelines and begin editing immediately without experiencing transfer delays.
Media managers and archivists can search large asset libraries using full descriptive sentences. Instead of scrubbing through hours of footage or inspecting tag structures, users can query specific visual scenes, recognized faces, or spoken phrases transcribed directly from video files.
Agencies can share video edits, campaign assets, or review reels with external stakeholders using customizable share links. Clients can view media, leave frame-accurate feedback, and approve work inside branded review spaces without accessing internal workspace drives.
Creative professionals operating in locations with poor internet connectivity can pin essential files to local device memory. This caching function allows uninterrupted offline work without breaking media links or requiring manual file relinking upon reconnecting to the web.
Production teams managing complex file libraries can automate metadata extraction across custom drives. System properties, EXIF data, jersey numbers, and product tags are collected automatically and organized into collaborative spreadsheet views for team auditing.
Video editors working inside Adobe Premiere Pro can receive and respond to stakeholder review notes directly within their editing software. Comments map to exact timeline markers, allowing editors to make required corrections without switching back and forth to web browsers.
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Shade uses a streaming file system named ShadeFS to mount cloud storage as a virtual local drive on Mac or Windows. It streams requested data at the byte level when needed, letting software read assets without downloading entire files first.
Shade automatically generates previews and transcodes uploaded media files. The site explicitly lists support for professional formats including MXF, R3D, BRAW, MP4, 4K, and ProRes.
Shade uses artificial intelligence trained on media files to analyze visual scenes, cluster detected faces, and index audio transcripts. Users can locate assets by typing natural language sentences rather than relying on manual file tags.
Yes. Users can pin specific files to their local hardware cache. This downloads required assets to local storage, allowing continuous editing without internet access or broken media links.
Shade includes timestamped and range-based commenting, frame annotations, threaded discussion replies, emoji reactions, and file attachments. Users can also restrict comment visibility to internal team members.
Yes. Shade offers a native Premiere Pro Panel that allows video editors to view review comments, inspect feedback notes, and place markers on their editing timeline directly inside Premiere Pro.
Permissions can be set across workspaces, drives, folders, or files. Administrators can send unique web links with customized access rights, turn off file downloads, restrict metadata viewability, or create branded collection portals.
The Shade desktop app operates on macOS and Windows systems. Users can open files locally from mounted drives using keyboard shortcuts like Command-O on Mac or Control-O on Windows.
Shade automatically extracts technical metadata for over 100 file formats. In addition, AI tools and user inputs generate custom fields, scene descriptions, jersey numbers, and product labels inside a shared spreadsheet view.
Shade is designed for distributed creative teams, video editors, marketers, production managers, and IT administrators. It serves sports organizations, brand marketing departments, and video production houses requiring centralized asset management and client review capabilities.
Until real users review Shade, this tab shows what the vendor highlights and the points worth checking — never invented opinions.
Mounts cloud storage directly onto Mac and Windows operating systems as a local drive. The technology uses byte-level streaming to load media on demand, letting software access raw cloud files without prior downloads.
Enables asset queries using natural language and complete sentences. The AI processes media content to locate scenes, objects, and specific moments across large libraries without manual tagging.
Detects, labels, and groups human faces across uploaded video and image formats. Teams can assign names to identified face clusters to quickly search libraries by individual subjects.
Converts spoken dialogue within media files into text indexed with timecodes. Users can search transcript contents, pinpoint audio clips, and export text data for documentation.
Extracts built-in technical metadata from over 100 file formats while generating automated tags and descriptions. Extracted information displays in customizable, spreadsheet-style team views.
Allows reviewers to attach feedback to specific frames or time spans within a video file. Users can start threaded conversations, tag teammates with mentions, and attach supplementary assets.
Provides drawing tools to place targeted visual notes directly onto video frames and image assets, highlighting specific areas that require graphical or color edits.
Groups project revisions into single asset stacks. Team members can compare edits side-by-side, inspect revision histories, and restore earlier file versions without cluttering workspace folders.
Controls file access across workspaces, drives, folders, and web links. Administrators can configure custom download restrictions, assign user roles, and dictate whether review comments are public or internal.
Saves designated cloud assets to a device's local cache. This ensures continuous file availability and editing capabilities when operating without active internet connections.
Gathers selected assets, campaign materials, or daily footage into customized presentation portals designed for external client delivery and approval workflows.
Automatically transcodes uploaded media and builds playable previews for complex professional raw camera formats, including R3D, BRAW, MXF, and ProRes.
We don't publish prices: they change often and differ by country. Check current plans on Shade's own pricing page.
Shade offers options to sign up for free or request a live platform demonstration. Subscriptions involve custom sales agreements and enterprise tiers, alongside a credit-based model used specifically for audio and video transcription services.
Shade connects with non-linear video editing applications and team communication platforms. It features a extension panel for Adobe Premiere Pro, supports Slack for project notifications, and includes an MCP server for AI connectivity.
Shade provides self-service learning resources, technical documentation, an Academy portal, video tutorials, a Security Trust Center, case studies, and a product blog. Direct assistance is available through sales chat, demo requests, and formal enterprise support agreements.
We don't show a rating for Shade until at least 10 real users have reviewed it — so far, 0 of 10. Reviews are read and approved by hand; none are identity-verified, but none are bought or invented either.
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This page was written with AI from 4 pages of shade.inc's own website (read on Sep 16, 2026) and checked automatically: no copied wording, no prices, and no figure that isn't on the vendor's site. Nobody on our team has tested Shade.
