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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-light
      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
    • github
      Open Source Tools
      • llama
        LlamaIndex VideoDB Retriever
      • PromptClip: Use Power of LLM to Create Clips
      • StreamRAG: Connect ChatGPT to VideoDB
    • zapier
      Zapier Integration
      • Auto-Dub Videos & Save to Google Drive
      • icon picker
        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
    • mcp
      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
    • videodb
      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
      • 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
      • VideoDB Acquires Devzery: Expanding Our AI Infra Stack with Developer-First Testing Automation

Create & Add Intelligent Video Highlights to Notion

This Zap automates the generation of video highlight clips and summaries from YouTube videos using VideoDB, with the results automatically stored in Notion. The goal is to simplify knowledge capture, optimize workflow efficiency, and create a system that generates insights with minimal manual effort.

Goals:

Automate the extraction of highlight clips from YouTube videos.
Generate concise, insightful summaries for each video.
Store both highlights and summaries in a designated Notion page.
Optimize efficiency by leveraging asynchronous processing and targeted workflow triggers.

Prerequisites:

A Zapier account to create and manage workflows.
Access to VideoDB with an active API key.
A configured YouTube playlist (e.g., “Informative Videos and Lectures”).
A Notion account with a parent page prepared for storing video highlights and summaries.
Basic understanding of how Zapier workflows (Zaps) function.

Detailed Steps:

Workflow 1: Upload and Indexing Process

Trigger Setup:
Create a new Zap in Zapier.
Set the trigger to New Video in Playlist (YouTube).
Select the playlist (e.g., “Informative Videos and Lectures”).
Video Upload and Indexing:
Add an action step using VideoDB to upload and index the video.
Connect to VideoDB using the API key.
Pass the video title and YouTube URL.
Set a target label (e.g., YT highlights) to direct the workflow.
Confirm that a Job ID is returned as a token for asynchronous processing.
Publish Workflow 1:
Once verified, publish this workflow to make it active.

Workflow 2: Highlight Clips and Summaries

Trigger Setup:
Create a new Zap in Zapier.
Set the trigger to Upload Job Completed from VideoDB.
Filter by the target label (YT highlights).
Highlight Clip Generation:
Add an action to generate highlight clips using VideoDB.
Use prompts such as “Extract interesting and insightful information”.
Select dynamic video ID from the trigger.
Configure clip aspect ratio and subtitles (optional).
Note: this action returns a new asynchronous Job ID.
Summary Generation:
Add another action to summarize the video with VideoDB.
Prompt: “Create Notion markdown notes capturing key insights”.
Use the same video ID dynamically.
Another asynchronous Job ID will be returned.
Delay for Processing:
Insert a Zapier delay (e.g., 5–6 minutes) to allow highlight and summary jobs to complete.
Job Status Checks:
Add steps to check the status of both highlight and summary jobs.
Verify the results are available (player link for highlights, markdown text for summary).
Notion Storage:
Add an action to create a new Notion page under the parent “Playlist Highlights” page.
Use the video title as the page title.
Insert the summary text first.
Add a “Highlights” section, including the VideoDB Player URL for generated highlight clips.
Test and Publish Workflow 2:
Test the full process end-to-end.
Once successful, publish this workflow.


Links to workflows:

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