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videodb
VideoDB Documentation
  • Pages
    • Welcome to VideoDB Docs
    • Quick Start Guide
      • Video Indexing Guide
      • Semantic Search
      • Collections
      • Public Collections
      • Callback Details
      • Ref: Subtitle Styles
      • Language Support
      • Guide: Subtitles
      • How Accurate is Your Search?
    • Visual Search and Indexing
      • Scene Extraction Algorithms
      • Custom Annotations
      • Scene-Level Metadata: Smarter Video Search & Retrieval
      • Advanced Visual Search Pipelines
      • Playground for Scene Extractions
      • Deep Dive into Prompt Engineering : Mastering Visual Indexing
      • How VideoDB Solves Complex Visual Analysis Tasks
      • Multimodal Search: Quickstart
      • Conference Slide Scraper with VideoDB
    • Examples and Tutorials
      • Dubbing - Replace Soundtrack with New Audio
      • VideoDB: Adding AI Generated voiceovers to silent footage
      • Beep curse words in real-time
      • Remove Unwanted Content from videos
      • Instant Clips of Your Favorite Characters
      • Insert Dynamic Ads in real-time
      • Adding Brand Elements with VideoDB
      • Elevating Trailers with Automated Narration
      • Add Intro/Outro to Videos
      • Audio overlay + Video + Timeline
      • Building Dynamic Video Streams with VideoDB: Integrating Custom Data and APIs
      • AI Generated Ad Films for Product Videography
      • Fun with Keyword Search
      • Overlay a Word-Counter on Video Stream
      • Generate Automated Video Outputs with Text Prompts | VideoDB
      • VideoDB x TwelveLabs: Real-Time Video Understanding
      • Multimodal Search
      • How I Built a CRM-integrated Sales Assistant Agent in 1 Hour
      • Make Your Video Sound Studio Quality with Voice Cloning
      • Automated Traffic Violation Reporter
    • Live Video→ Instant Action
    • Generative Media Quickstart
      • Generative Media Pricing
    • Video Editing Automation
      • Fit & Position: Aspect Ratio Control
      • Trimming vs Timing: Two Independent Timelines
      • Advanced Clip Control: The Composition Layer
      • Caption & Subtitles: Auto-Generated Speech Synchronization
      • Notebooks
    • Transcoding Quickstart
    • director-light
      Director - Video Agent Framework
      • Agent Creation Playbook
      • Setup Director Locally
    • Workflows and Integrations
      • zapier
        Zapier Integration
        • Auto-Dub Videos & Save to Google Drive
        • Create & Add Intelligent Video Highlights to Notion
        • Create GenAI Video Engine - Notion Ideas to Youtube
        • Automatically Detect Profanity in Videos with AI - Update on Slack
        • Generate and Store YouTube Video Summaries in Notion
        • Automate Subtitle Generation for Video Libraries
        • Solve customers queries with Video Answers
      • n8n
        N8N Workflows
        • AI-Powered Meeting Intelligence: Recording to Insights Automation
        • AI Powered Dubbing Workflow for Video Content
        • Automate Subtitle Generation for Video Libraries
        • Automate Interview Evaluations with AI
        • Turn Meeting Recordings into Actionable Summaries
        • Auto-Sync Sales Calls to HubSpot CRM with AI
        • Instant Notion Summaries for Your Youtube Playlist
    • Meeting Recording SDK
    • github
      Open Source
      • llama
        LlamaIndex VideoDB Retriever
      • PromptClip: Use Power of LLM to Create Clips
      • StreamRAG: Connect ChatGPT to VideoDB
    • mcp
      VideoDB MCP Server
    • videodb
      Give your AI, Eyes and Ears
      • Building Infrastructure that “Sees” and “Edits”
      • Agents with Video Experience
      • From MP3/MP4 to the Future with VideoDB
      • Dynamic Video Streams
      • Why do we need a Video Database Now?
      • icon picker
        What's a Video Database ?
      • Enhancing AI-Driven Multimedia Applications
      • Beyond Traditional Video Infrastructure
    • Customer Love
    • Join us
      • videodb
        Internship: Build the Future of AI-Powered Video Infrastructure
      • Ashutosh Trivedi
        • Playlists
        • Talks - Solving Logical Puzzles with Natural Language Processing - PyCon India 2015
      • Ashish
      • Shivani Desai
      • Gaurav Tyagi
      • Rohit Garg
      • Edge of Knowledge
        • Language Models to World Models: The Next Frontier in AI
        • Society of Machines
          • Society of Machines
          • Autonomy - Do we have the choice?
          • Emergence - An Intelligence of the collective
        • Building Intelligent Machines
          • Part 1 - Define Intelligence
          • Part 2 - Observe and Respond
          • Part 3 - Training a Model
      • Updates
        • VideoDB Acquires Devzery: Expanding Our AI Infra Stack with Developer-First Testing Automation

What's a Video Database ?

A video database is a database system optimized for storing, cataloging, and retrieving digital video content. Like traditional databases, video databases rely on metadata and indexes to organize the content and enable search and retrieval. However, video data is much more complex due to its large size, multimedia nature, lack of inherent structure, and semantic gap between low-level visual features and high-level concepts.
Video databases aim to provide random access to sequential video data by building indexes, and developing interfaces to query and browse the content. It also utilize video compression and streaming technologies for efficient storage and transmission. Summarization techniques are used to generate compact abstracts and skims of full-length videos.
In the field of multimedia application development, we stand at the brink of a transformative era. Traditional methods of managing audio and video files, such as MP3 and MP4, often involve cumbersome file handling, high transcoding costs, and complexities that impact efficiency. This scenario is reminiscent of the days when data was managed in CSV files before the advent of SQL databases. Just as SQL databases revolutionized data management, VideoDB is committed to to fundamentally change how we handle multimedia content.

VideoDB: Serverless Video Database for AI Applications

is the first of its kind – a serverless Database that introduces a database-level abstraction to multimedia content. This innovative approach allows developers to interact with audio and video files with the same efficiency, flexibility, and scalability as SQL databases offer for data management.

Key Features and Benefits

📹 Accessibility : Access video segments instantly from 1000s of files with unprecedented ease.
ok
# Search in thousands of file with ease and watch the results
results = collection.search(query = "What’s the effect of Dopamine")
results.compile()
results.play()

📁 Efficient File Management: Streamline operations without creating new files for every action, thus reducing redundancy and storage requirements.
ok
# Generate stream from any section of the video
stream_url = video.get_stream(timeline=[(0, 10), (30, 40)])

♾️ Simplified Complexity: Manage intricate multimedia operations using intuitive, developer-friendly database commands.
ok
video = conn.upload(url="https://www.youtube.com/watch?v=WDv4AWk0J3U")
video.get_transcript()
video.add_subtitle()

💰 Lower Costs: Drastically lower your transcoding expenses by handling operations within the database environment. VideoDB offers optimized backend to manage all multimedia related operations and beating all cost benchmarks.

🚤 Lower Latency: Enhance overall performance of your multimedia applications with blazingly fast processing and retrieval times. Index videos with ease, VideoDB can index spoken content in one hour video in minutes and offers millisecond level retrieval speed.

Ideal for Modern Developers

VideoDB is designed to be an integral part of every developer's toolkit. Whether you're building a simple web application or a complex AI driven multimedia platform, VideoDB provides the tools you need to manage audio and video content more effectively.
Let's get started and unlock the full potential of your multimedia applications with VideoDB!

 
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