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videodb

VideoDB Documentation

Pages
- Welcome to VideoDB Docs
- Quick Start Guide
  Video Indexing Guide
  Semantic Search
  How Accurate is Your Search?
  Collections
  Public Collections
  Callback Details
  Ref: Subtitle Styles
  Language Support
  Guide: Subtitles
- Examples and Tutorials
  Dubbing - Replace Soundtrack with New Audio
  VideoDB x TwelveLabs: Real-Time Video Understanding
  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
  Eleven Labs x VideoDB: Adding AI Generated voiceovers to silent footage
  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: Wellsaid, Open AI & VideoDB
  Fun with Keyword Search
  AWS Rekognition and VideoDB - Effortlessly Remove Inappropriate Content from Video
  Overlay a Word-Counter on Video Stream
  Generate Automated Video Outputs with Text Prompts | DALL-E + ElevenLabs + OpenAI + VideoDB
- 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 Video Scene Indexing
- Multimodal Search
  Multimodal Search: Quickstart
  Conference Slide Scraper with VideoDB
- Real‑Time Video Pipeline
  Automated Traffic Violation Reporter
- Meeting Recording SDK
- Generative Media Quickstart
  Generative Media Pricing
- AI Video Editing Automation SDK
  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 - Video Agent Framework
  Agent Creation Playbook
  How I Built a CRM-integrated Sales Assistant Agent in 1 Hour
  Make Your Video Sound Studio Quality with Voice Cloning
  Setup Director Locally
- Open Source Tools
  LlamaIndex VideoDB Retriever
  PromptClip: Use Power of LLM to Create Clips
  StreamRAG: Connect ChatGPT to VideoDB
- 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 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
- VideoDB MCP Server
- Edge of Knowledge
  Building Intelligent Machines
  Part 1 - Define Intelligence
  Part 2 - Observe and Respond
  Part 3 - Training a Model
  Society of Machines
  Society of Machines
  Autonomy - Do we have the choice?
  Emergence - An Intelligence of the collective
  From Language Models to World Models: The Next Frontier in AI
  The Future Series
  How VideoDB Solves Complex Visual Analysis Tasks
- Building World's First Video Database
  Multimedia: From MP3/MP4 to the Future with VideoDB
  Dynamic Video Streams
  Why do we need a Video Database Now?
  What's a Video Database ?
  Enhancing AI-Driven Multimedia Applications
  Misalignment of Today's Web
  Beyond Traditional Video Infrastructure
  Research Grants
- Customer Love
- Team
  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
  VideoDB Acquires Devzery: Expanding Our AI Infra Stack with Developer-First Testing Automation

videodb

VideoDB Documentation

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Turn Meeting Recordings into Actionable Summaries

Turn Meeting Recordings into Actionable Summaries

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Copy JSON

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Goal:

This workflow converts recorded meetings into structured summaries with action items and key decisions. It serves as a universal meeting processor for general business meetings and distributes summaries to both Coda and Slack.

The workflow ensures consistent meeting documentation and team notification for any type of business meeting.

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Prerequisites:

N8N Instance: Running N8N automation platform (cloud or self-hosted)

VideoDB API Key: Obtain from VideoDB Console

VideoDB N8N Node: Install the custom node in your N8N instance

Meeting Recording: Access to meeting recording (any platform with recording capability)

Coda Workspace: For meeting documentation storage

Slack Workspace: For team notifications

Main Workflow Steps:

Step 1: Meeting Recording

Process recorded meeting files or live meeting recordings

Initiate VideoDB processing for the meeting content

Wait for recording completion before analysis

Step 2: Video Processing

Index spoken words and generate comprehensive transcript

Create timestamped transcript for reference

Prepare content for AI summarization

Step 3: AI Summarization

Extract meeting title and purpose

Identify key discussion points and decisions made

Extract action items with ownership assignments and due dates

Structure information into consistent format

Step 4: Documentation and Distribution

Create new entry in Coda project database with structured fields:

Date and meeting metadata

Executive summary

Action points with assignments

Decision log

Send formatted meeting summary to Slack with action item notifications

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Conclusion:

This workflow creates a complete meeting documentation system that stores structured summaries in Coda while keeping teams informed through Slack notifications.

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