what are the best ai tools for video tagging

As of my last knowledge update in October 2023, several AI tools and platforms are highly regarded for video tagging and annotation. Here are some of the best ones:

**Amazon Rekognition**: This is a cloud-based AI service that can analyze videos and identify objects, scenes, activities, and even facial expressions. It’s an excellent choice for automatic video tagging.

**Google Cloud Video Intelligence**: This service allows for automatic tagging of video content, enabling users to search for specific elements within videos. It's useful for identifying and labeling scenes, objects, and activities.

**Microsoft Azure Video Indexer**: This tool can analyze video content and generate metadata, including speech, text, and visual content. It is beneficial for tagging and searching within videos.

**IBM Watson Video Analytics**: IBM offers several AI tools that can process video data, identifying objects and activities, providing tagging functionality, and more.

**Clarifai**: Clarifai provides robust AI-driven video analysis and tagging capabilities. It can automatically tag video content based on various categories and allows for customization through training with specific datasets.

**VLN**: Video Language Navigator (VLN) focuses on understanding video content using natural language processing and computer vision, providing tagging and annotations based on user queries.

**DeepAI Video Tagging API**: This is an easy-to-integrate API for adding tagging capabilities to videos, allowing for fast and scalable video analysis.

**PimEyes**: While primarily a facial recognition search engine, PimEyes can also aid in tagging videos based on recognized faces and can help identify individuals in footage.

**Veed.io**: While primarily a video editing platform, Veed.io also offers some AI-driven features for tagging and categorizing video content.

**Zegami**: This platform combines image tagging and analysis with data visualization, allowing for a more comprehensive approach to video content tagging.

When selecting an AI tool for video tagging, consider factors like the specific features you need (e.g., object recognition, facial recognition, scene identification), ease of integration with your workflow, scalability, pricing, and the level of customization it offers. Always explore current user reviews and updates on these platforms as they continue to evolve rapidly.