The “Transcribe Call” workflow action in AI Studio for HubSpot automatically transcribes recorded calls and returns a text transcript within your HubSpot workflow. Designed for HubSpot's Call-based Workflows, it enables efficient transcription and further AI processing of the call transcript with leading AI models (with Send to AI workflow action).
Key Features & Benefits
1. Multilingual Transcription
• Uses OpenAI Whisper to detect and transcribe more than 50 languages.
• Automatically handles language switches during the same call.
2. Pause Removal & Audio Optimization
• Trims silent or pause segments to reduce token usage and improve clarity.
3. Native HubSpot Integration
• No separate platform needed—add “Transcribe Call” as an action in your workflows.
4. Follow-Up Possibilities
• Integrate with “Send to AI” to generate summaries, draft emails, extract keywords, or perform sentiment analysis
Register at ai.resonatehq.com and connect your HubSpot account (portal)
1. Create or Edit a Workflow
• Go to Automation > Workflows in HubSpot and select Create workflow (or edit an existing one).
• Choose Call-based (or another object type if desired).
2. Define Enrollment Criteria
• Example: “Recording URL is known,” ensuring only calls with valid audio links enter the workflow.
3. Add “Transcribe Call”
• Click + to add a new action.
• Select “AI Studio for Workflows”, then choose “Transcribe Call.”
1. Audio Retrieval
• AI Studio accesses the audio file from the provided URL.
2. Pause Removal
• Silent segments are trimmed to reduce token usage.
3. OpenAI Whisper Transcription
• Whisper processes the audio, detecting language automatically.
4. Transcript Output
• The completed text transcript is made available as a workflow output variable (Transcription).
Using the Transcription Output
Scenario 1: Save Transcript to Call Notes
1. Add an “Edit record” action after “Transcribe Call.”
2. Set Call notes (or any other text property) to the Transcription output.
Scenario 2: Send to AI for Analysis
1. Insert a “Send to AI” step (also from AI Studio) after “Transcribe Call.”
2. Choose your AI model (OpenAI GPT-4o mini, Google Gemini Pro, etc.).
3. Reference the output of Transcription action in the prompt to generate summaries, follow-up emails, or sentiment analysis.
• 500 tokens per minute of audio are used for transcription.
• Pause removal lowers token usage by skipping silent sections.
• Track AI usage credits in AI Studio’s dashboard at ai.resonatehq.com
• Automatic Detection: No manual switching required for different languages.
• 50+ Languages: English, Spanish, French, Japanese, Arabic, Chinese, etc.
• Handles language switches within a single call whenever possible.