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Audio-to-CRM pipeline using n8n and OpenAI for parsing, Airtable for structured record storage, and fallback logic for real-world robustness.

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Rikoting/call-transcription-airtable-crm

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📞 Call Transcription to Airtable CRM

Transcribe monologue-style audio into structured CRM records using n8n, OpenAI (GPT-3.5/4o), and Airtable. This hybrid-code automation extracts caller intent, urgency, deadlines, and follow-up actions into clean, ready-to-use fields.


🔧 Features

  • 🎙️ Whisper-based audio transcription
  • 🧠 GPT-powered LLM field extraction
  • ⏳ Deadline & urgency detection
  • 🧹 Fallback logic (for missing fields)
  • 📤 Airtable CRM integration
  • 📝 Summary generation for transcripts

🗂️ Project History

Version Description
v0.1 Regex-only transcription → Google Sheets
v0.2 Hugging Face model added
v0.3 Switched to OpenAI API (GPT-3.5)
v1.0 Airtable CRM version with fallback logic, deadline/date extraction, and GPT-4o compatibility

🧪 Sample Output (JSON)

See /sample-output for actual JSONs from Camille, Marcus, and Samantha test cases.


📊 Airtable CRM Demo Sheet

👉 View Airtable CRM Demo Sheet

<iframe class="airtable-embed" src="https://airtable.com/embed/appXpNiN4xZXPi7kr/shr4M3RUqg7cJ4Asc?viewControls=on" frameborder="0" onmousewheel="" width="100%" height="533" style="background: transparent; border: 1px solid #ccc;"></iframe>

🚀 Getting Started

  1. Import the transcription_workflow_airtable_crm_v1.json into your n8n instance
  2. Link your OpenAI, Airtable, and Telegram (optional) credentials
  3. Feed audio via URL or manual trigger
  4. Review outputs directly in Airtable

📄 License

MIT License — see LICENSE for full terms.

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Audio-to-CRM pipeline using n8n and OpenAI for parsing, Airtable for structured record storage, and fallback logic for real-world robustness.

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