🖌️

Kive

Visual asset search and inspiration for design teams

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 🖌️ Design & Creativity 🕒 Updated
Visit Kive ↗ Official website
Quick Verdict

Kive is a visual organization and AI-assisted moodboard tool for designers and creative teams, offering image search, tagging, and collaborative collections. It’s ideal for designers, art directors, and marketers who need centralized visual libraries and rapid inspiration workflows. Pricing includes a usable free tier and paid plans for teams, making it accessible for freelancers through to agencies.

Kive is a design & creativity tool that organizes visual assets, surfaces inspiration, and helps teams build moodboards with AI-assisted tagging and search. Its primary capability is automatic image ingestion, metadata extraction, and semantic search across large visual collections, which distinguishes it from generic file managers. Kive serves individual designers, creative agencies, and brand teams who need faster concepting, version control, and reusable visual libraries. The service offers a free tier with basic limits and paid plans for higher storage, collaboration, and team controls, making the Design & Creativity tool accessible to freelancers and small teams.

About Kive

Kive launched as a visual-first asset management and inspiration platform focused on creative teams. Founded by designers and engineers, Kive positions itself between a DAM (digital asset management) system and an ideation tool: its core value proposition is to let teams quickly collect, tag, and retrieve imagery and design references using vision-powered search. The company emphasizes speed of finding visual ideas, reducing duplicated effort across projects, and enabling centralized moodboard creation that can be shared with clients or exported for production.

Kive’s feature set centers on visual ingestion, automated tagging, and collaborative collections. The image importer accepts bulk uploads and browser extension saves; Kive then runs automatic visual analysis to add tags and extract color palettes. Its semantic search lets you find assets by uploading an example image or typing a query, not just filenames. Collections and moodboards let users arrange and annotate assets, and team features include shared libraries, comment threads, and role-based access. Kive also supports version history and export options for PNG/JPG downloads and direct reference links for client review.

Pricing balances a free starter option with tiered paid plans for individuals and teams. The free tier provides a limited number of uploads, basic search, and one personal collection suitable for trial and freelancers. Paid plans (as listed on Kive.ai) typically start with a Personal/Pro monthly tier that increases upload capacity, private projects, and higher-resolution exports, and Team/Business tiers add multi-user seats, shared libraries, and priority support. Enterprise options are available via Custom pricing with SSO and advanced permissions. Specific quotas and exact monthly prices should be checked on Kive’s pricing page as they change periodically.

Kive is used by UI/UX designers for rapid moodboard generation and by brand managers to centralize campaign imagery. A practical example: a Senior Product Designer uses Kive to reduce concepting time by assembling moodboards that cut research from days to hours; a Creative Director uses team libraries to enforce brand consistency across campaigns. Freelance illustrators use Kive to manage client reference sets and speed revisions. Compared with pure DAMs like Bynder, Kive leans more toward ideation and visual discovery rather than enterprise metadata governance, making it closer to tools like Milanote for inspiration workflows.

What makes Kive different

Three capabilities that set Kive apart from its nearest competitors.

  • Automated visual metadata extraction (tags, colors) applied at upload to speed retrieval across large image sets.
  • Search-by-example lets users find visually similar assets using an uploaded image rather than relying on filenames.
  • Built-in moodboard collections combine annotations and shareable review links aimed at ideation, not only DAM storage.

Is Kive right for you?

✅ Best for
  • UI/UX designers who need faster moodboard and concepting workflows
  • Creative directors who require centralized visual references and approvals
  • Freelance designers who want an affordable visual library and shareable boards
  • Brand managers who need consistent, searchable campaign imagery
❌ Skip it if
  • Skip if you require enterprise-grade metadata governance and complex DAM workflows.
  • Skip if you need pixel-level asset editing or advanced production file management.

✅ Pros

  • Automatic visual tagging and color extraction reduces manual organization time
  • Search-by-example returns visually similar assets without relying on filenames
  • Collections and share links streamline client review and moodboard sharing

❌ Cons

  • Pricing details and exact quotas on tiers are not prominently fixed; users must check current site.
  • Not a full-featured enterprise DAM—lacks advanced metadata governance and deep production file workflows

Kive Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free Free Limited uploads, 1 private collection, basic search and exports Freelancers testing Kive features
Pro / Personal Exact monthly price on site Higher upload quota, private projects, higher-res exports Solo designers who need larger libraries
Team Exact monthly price on site Multi-seat, shared libraries, role permissions, priority support Design teams requiring collaboration
Enterprise Custom SSO, custom storage, SLAs, dedicated onboarding Large organizations needing governance

Best Use Cases

  • Senior Product Designer using it to assemble moodboards and cut concept research time by 60%
  • Creative Director using it to enforce brand consistency across 50+ campaign assets
  • Freelance Illustrator using it to manage client reference sets and reduce revision rounds by 30%

Integrations

Figma Slack Google Drive

How to Use Kive

  1. 1
    Sign up and link storage
    Create an account via the Kive.ai sign-up flow, then connect Google Drive or upload images; success looks like a populated library with thumbnails appearing in the dashboard.
  2. 2
    Bulk upload or save from web
    Use drag-and-drop or the Kive browser extension to import dozens of images; Kive will process them and display auto-generated tags and color swatches when complete.
  3. 3
    Run a visual search by example
    Click the search field and drag an example image or paste a query; relevant, visually similar assets and tag-filtered results should appear in seconds.
  4. 4
    Create and share a collection
    Open a new Collection (moodboard), add assets, annotate items, then click Share to generate a review link; verify collaborators can view and comment.

Kive vs Alternatives

Bottom line

Choose Kive over Milanote if you prioritize automated visual tagging and semantic image search for large reference libraries.

Frequently Asked Questions

How much does Kive cost?+
Pricing varies by plan and seat; check Kive.ai for current monthly rates. The platform offers a Free tier plus Pro/Team paid plans and Enterprise pricing. Paid tiers increase upload quotas, enable multi-seat collaboration, higher-resolution exports, and priority support. Because Kive updates plans periodically, confirm exact monthly costs and included storage on their pricing page before committing.
Is there a free version of Kive?+
Yes — Kive offers a Free tier with limited uploads and basic search. The free plan includes a small number of uploads, one private collection, and basic semantic search so freelancers can trial core features. Upgrading to Pro or Team removes limits, adds larger upload quotas, shared libraries, and advanced export options for collaborative projects.
How does Kive compare to Milanote?+
Kive emphasizes automated visual tagging and semantic image search more than Milanote’s flexible note-and-board structure. Milanote focuses on freeform boards and textual organization, while Kive aims at searchable visual libraries and discovery. For teams needing automated metadata extraction and image-similarity search, Kive is the stronger choice; for heavily text-centric ideation, Milanote may be preferable.
What is Kive best used for?+
Kive is best for organizing visual references, building moodboards, and speeding concepting for design projects. It shines when you need to centralize campaign imagery, find visually similar assets quickly via search-by-example, or produce shareable moodboards for client review. Teams use it to maintain consistent visual libraries and reduce duplicated research work.
How do I get started with Kive?+
Start by signing up at Kive.ai and connecting Google Drive or uploading a sample set of images. After upload, review the auto-generated tags and color palettes, then create a Collection and add assets. Share the collection link to invite feedback; success looks like searchable assets and a completed moodboard ready for collaboration.

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