🔬 Audio conversation analysis & visualization with DeepGram and GPT-4o

⚡ 950 views · 🔬 Document Extraction & Analysis

💡 Pro Tip — For competitive intelligence, ScraperNode can automate the data collection — Yelp reviews, Glassdoor company data, and Crunchbase profiles all return structured JSON you can feed straight into this workflow.

Description

Transcript Evalu8r – AI-Powered Transcribing and Transcript Analysis Workflow

Overview

Transcript Evalu8r is an AI-powered transcript analysis workflow that automates the processing, visualization, and evaluation of transcribed conversations. This n8n workflow template is designed to help users quickly analyze sentiment, extract topics and intents, generate key insights, and enhance transcript navigation.

It is ideal for customer service teams, legal professionals, researchers, content creators, and businesses seeking actionable intelligence from recorded conversations.

Key Features

🔹 Automated Transcript Processing

• Audio-to-Text Conversion – Upload an audio file and generate transcripts.
• File Upload Management – Track file uploads with real-time progress indicators.
• Transcript Selection – Browse and select previously analyzed transcripts from a dropdown.
• Download Transcripts – Export transcripts in various formats (Google Docs and JSON).
• Error Handling – Detects and alerts users about upload or processing failures.

🔹 Advanced UI Components

• Interactive Transcript Viewer – Displays full transcripts with:
  • Timestamps and speaker identification.
  • Clickable words for easy navigation.
  • Auto-scrolling to highlight the active portion of the transcript.
• Key Points & Action Items Summary – AI extracts:
  • Critical insights from conversations.
  • Actionable follow-ups detected in the discussion.
• Speaker Labeling – Dynamically assigns real speaker names instead of generic placeholders (e.g., “Speaker 1”).
• Collapsible Sections – Enables users to expand/collapse transcript details, key insights, and analysis sections.

🔹 AI-Powered Conversation Analysis

• Sentiment Analysis & Visualization

  • Dynamic sentiment graph tracks emotional shifts.
  • Color-coded speaker sentiment tracking:
    • 🔵 Positive
    • ⚫ Neutral
    • 🔴 Negative
  • Time-based sentiment tracking – Shows sentiment fluctuations across the conversation.

• Topic & Intent Recognition

  • Automated Topic Extraction – Identifies key themes discussed.
  • Hierarchical Topic Organization – Groups related topics for structured insights.
  • Intent Classification – Recognizes whether statements reflect:
    • Questioning
    • Commands
    • Decision-making
    • Information seeking
  • Confidence Scoring – Displays confidence levels for topic and intent detection.

• Speaker Contribution Metrics

  • Talk-time percentages per speaker.
  • Interruption detection – Highlights moments where speakers cut each other off.
  • Word Frequency Analysis – Identifies commonly used terms and phrases.

🔹 Seamless Workflow Automation

• API Integration – Connects with transcription engines like OpenAI Whisper, AWS Transcribe, and Deepgram.
• Webhook Support – Automates workflows when new transcripts are available.
• Batch Processing – Handles multiple transcript analyses simultaneously.
• Export & Reporting – Sends insights to Google Sheets, Notion, Airtable, or Slack.

How It Works

1. Upload an audio file or select a pre-existing transcript.
2. Transcript Processing:
   • Speech-to-text conversion (if required).
   • AI-driven sentiment, topic, and intent analysis.
3. Visualizations & Insights:
   • Review sentiment charts, speaker contributions, and key topics.
   • Extract action items and critical takeaways.
4. Download results or trigger automated follow-ups.

Use Cases

✅ Customer Support Review – Detect customer concerns and analyze sentiment trends.
✅ Podcast & Video Content Analysis – Summarize episodes and extract key themes.
✅ Sales Call Insights – Identify common objections and customer pain points.
✅ Market Research – Extract trends from focus groups and discussions.
✅ Legal Compliance Monitoring – Track policy violations in recorded conversations.

Setup Instructions

1. Import the Transcript Evalu8r workflow into your n8n instance.
2. Connect DeepGram Speech to Text API.
3. Configure workflow parameters (sentiment thresholds, topic extraction settings).
4. Run the workflow to analyze and visualize transcript data.
5. Review insights and export as needed.

Why Use Transcript Evalu8r?

🚀 Automate tedious transcript analysis
💡 Unlock hidden insights in conversations
📊 Visualize conversations with interactive sentiment tracking
⚡ Boost efficiency with AI-powered automation
🔗 Seamlessly integrate with your existing workflows

Requirements

• n8n instance (cloud or self-hosted)
• **API key for DeegGram API

🔗 Nodes Used

HTTP Request, Webhook, Google Drive, Gmail, Google Docs, Google Drive Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup