| 0 |
| 1 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Search across video libraries using natural language queries that understand visual, audio, and textual content semantically. Returns relevant video segments matching the semantic meaning of the query rather than just keyword matches.
Automatically analyze and index video content across visual elements, audio/dialogue, and text overlays in a single pass. Creates a comprehensive searchable index without manual tagging or metadata entry.
Extract and index text that appears in videos including captions, titles, graphics, and on-screen text. Makes text-based video content searchable.
Access video understanding capabilities through a freemium model with meaningful free API credits. Enables evaluation and small-scale usage without immediate payment.
Identify and understand visual elements within videos including objects, people, scenes, actions, clothing, and spatial relationships. Enables searching by specific visual characteristics.
Extract and index spoken content from videos including dialogue, narration, and audio descriptions. Makes audio content searchable and enables queries based on what is said.
Automatically generate new content from video sources including summaries, descriptions, clips, and repurposed assets. Enables content creators to quickly produce derivative content from existing videos.
Automatically organize and categorize video collections based on semantic understanding of content. Creates logical groupings and hierarchies without manual folder structure or tagging.
+4 more capabilities
Search, filter, and browse a catalog of 500K+ community-created AI models including Stable Diffusion variants, LoRAs, embeddings, and checkpoints. Users can view model details, ratings, training data transparency, and commercial usage rights before downloading.
Download model files (checkpoints, LoRAs, embeddings, VAEs) directly from Civitai with no usage limits, rate caps, or subscription requirements. Supports batch downloads and version selection.
Organize and curate collections of models for specific projects, workflows, or themes, and share collections with other users for collaborative discovery.
View download counts, usage trends, community engagement metrics, and performance data for published models to understand adoption and impact.
Engage in comments, discussions, and Q&A on model pages to ask questions, share tips, report issues, and build relationships with creators and other users.
Create model cards, upload trained models (checkpoints, LoRAs, embeddings), set licensing terms, and publish to the Civitai marketplace for community discovery and use.
View and compare different versions of the same model side-by-side, including training data, parameters, performance metrics, and community feedback to identify the best version for a use case.
Civitai scores higher at 56/100 vs Twelve Labs at 52/100.
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Submit ratings, written reviews, and usage feedback on models to help the community identify high-quality, production-ready models and flag problematic uploads.
+5 more capabilities