TwelveLabs
Video AI that understands what's actually happening on screen
Overview
TwelveLabs is a video intelligence platform built around two proprietary models: Marengo, which embeds video, audio, and language together for search, and Pegasus, which reasons across a video's full timeline to answer questions or generate summaries. In practice this means you can ask it to find every clip where a specific product appears, or summarize an hour of raw footage, without a human tagging anything first. Media and sports organizations use it to pull highlight clips from archives, ad platforms use it to place ads in brand-safe scenes automatically, and public sector teams use it for evidence review and compliance scanning.
This is a developer platform, not a point-and-click product. You interact with it through APIs, and pricing is metered by the minute of video indexed, plus per-request costs for search, embed, and analyze calls. There's a genuinely useful free tier with 600 minutes of indexing to test it out, but building anything real on top of it requires engineering time. If you don't have video content at real scale, or you don't have a team to integrate an API, this isn't for you.
Key Features
Semantic Video Search: Find a specific moment across huge video libraries using natural language, not keywords or tags.
Marengo Embedding Model: A multimodal model that indexes vision, audio, and language together so search understands context, not just labels.
Pegasus Video-Language Model: Generates summaries, descriptions, and answers questions about what happens across a full video's timeline.
Fast Indexing: Processes video at roughly 60x real-time speed, so an hour of footage indexes in about a minute.
Developer APIs: Search, Embed, and Analyze APIs for building custom video workflows into existing products.
Pricing
Starting price
Usage-based, from $0.042/minute of video indexed (free tier available with 600 minutes)
Free: $0. Up to 600 minutes of indexing, full access to Search, Embed, and Analyze APIs, index retained 90 days, max 100 videos per index.
Developer: Pay-as-you-go, no minimum. $0.042/minute video indexing plus a $0.0015/minute infrastructure fee, $4 per 1,000 search queries, $0.0292/minute for Analyze API input.
Enterprise: Custom pricing via committed-use contract, requires talking to sales.
Disclaimer: pricing may change, confirm on TwelveLabs' own pricing page before buying.
Pros
Genuinely Fast Indexing: 60x real-time processing means large archives get searchable quickly.
Multimodal Understanding: Search accounts for what's seen, heard, and said, not just filenames or manual tags.
Usable Free Tier: 600 minutes of indexing lets you actually test the product before paying.
Real Enterprise Traction: Named customers like NFL and MLSE suggest it holds up at scale.
Cons
Developers Only: No UI for non-technical users, everything runs through an API.
Costs Add Up Fast: Per-minute indexing plus per-call search and analyze fees make budgeting tricky at scale.
No Published Enterprise Pricing: Larger commitments require a sales call with no public numbers.
Narrow Use Case: Only makes sense if you have real video volume to search or analyze.
What Makes It Unique
Purpose-Built Video Models: Marengo and Pegasus are trained specifically for video, not a general LLM bolted onto a transcript, so it reasons about visual and audio context together.
Kay Score
7.5
/ 10
Tool Information
Pricing
Usage-based, from $0.042/minute of video indexed (free tier available with 600 minutes)
Category
Voice & Video
Platform
Web / iOS / Android
Last Updated
