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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
      • 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: Wellsaid, Open AI & VideoDB
      • Fun with Keyword Search
      • Overlay a Word-Counter on Video Stream
      • Generate Automated Video Outputs with Text Prompts | DALL-E + ElevenLabs + OpenAI + VideoDB
      • Eleven Labs x VideoDB: Adding AI Generated voiceovers to silent footage
      • 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
        • icon picker
          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?
      • 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
videodb
VideoDB Documentation
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Auto-Sync Sales Calls to HubSpot CRM with AI

Auto-Sync Sales Calls to HubSpot CRM with AI

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Copy JSON
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Goal:
This workflow captures sales conversations and syncs deal information directly to HubSpot CRM. It eliminates manual data entry by extracting key deal details from sales calls and updating CRM records automatically.
The workflow ensures consistent CRM data entry and prevents missed sales opportunities through automated deal tracking.
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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
HubSpot CRM: With API access for deal and contact management
Meeting Recording: Capability for sales call recording
HubSpot Pipeline: Configured deal pipeline with appropriate stages
Main Workflow Steps:
Step 1: Sales Call Recording
Record sales conversations automatically
Ensure complete call capture before processing
Verify audio quality for accurate transcript generation
Step 2: Video Processing
Index spoken words from sales call audio
Generate detailed transcript of the conversation
Prepare content for deal analysis
Step 3: Deal Intelligence Extraction
Extract company/prospect name for deal identification
Assess current deal stage based on conversation content
Identify deal value and monetary discussions
Extract next steps and follow-up requirements
Categorize deals into appropriate HubSpot pipeline stages
Step 4: HubSpot CRM Integration
Create new deal records or update existing ones
Populate CRM fields with:
Deal name and estimated value
Current pipeline stage
Meeting summary and discussion points
Next steps and follow-up tasks
Log meeting as activity in deal timeline
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Conclusion:
This workflow maintains accurate, up-to-date CRM data by automatically capturing and structuring sales conversation details in HubSpot, supporting consistent deal tracking and sales process management.
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