Examples

Sample applications

Discover the capabilities of the TwelveLabs Video Understanding Platform by experimenting with our fully functional sample applications:

  • Who Talked About Us: This application uses the semantic search capabilities of the platform to identify the most suitable influencers (organic brand fans) to reach out to.
  • Generate social media posts for your videos: This application simplifies the cross-platform video promotion workflow by generating unique posts for each social media platform.
  • Shade finder: This application uses the image-to-video search feature to find color shades in videos.
  • Interview Analyzer: This application evaluates job interview performances using the ability of the Pegasus video understanding engine to [generate text]/docs/guides/generate-text-from-video) based on video content. The application offers detailed feedback on verbal and nonverbal communication to help candidates improve their skills and level the playing field in the job market by providing personalized coaching and insights typically available only from experienced HR professionals.
  • Olympics Classification: This application uses the Marengo video understanding engine to classify sports footage based on specific classes.
  • Security Analysis: This application processes security footage, dash camera videos, and CCTV recordings to identify and timestamp key security events such as unauthorized access attempts or suspicious behavior patterns.
  • Video Content Quiz Generator: This application automatically creates multiple-choice questions from your video content, enabling educators and content creators to transform passive video viewing into interactive learning experiences.
  • Crop and Seek: This application allows you to search for specific video content using text or image queries. You can refine your visual searches in real-time by cropping any section of your query image.
  • Video Highlight Generator: This application automatically analyzes video content to create chapters and highlights, streamlining the video production workflow for content creators.
  • Video Multilingual Transcriber: This application transcribes and translates video content in multiple languages, offering adjustable proficiency levels.
  • Fashion AI Assistant:This multimodal RAG application offers personalized fashion recommendations based on both text and image queries. It utilizes the Embed API for analyzing video content, Milvus for vector searches, and GPT-3.5 for natural language processing. This enables the delivery of contextualized fashion suggestions with accurate video timestamps.
  • Contextual Ad: This application analyzes source footage, summarizes content, and recommends ads based on the footage’s context and emotional tone. It also supports embedding-based searches and suggests optimal ad placements, letting you preview how the footage and ads fit together. Additionally, it generates ad copies, headlines, and hashtags for each ad.
  • Personalized Content: This application provides tailored video recommendations based on your profile and preferences, plus embedding-based searches for more accurate results.