AI Text to Speech

The AI Text to Speech feature enables the bot to automatically convert text content into spoken audio, serving purposes such as storage, voice analysis, integration into call center systems, automated calling, or internal training data generation. Unlike features that directly respond to users, the converted result is not played back to the user, but is instead forwarded to processing systems such as CRM or other automation workflows.

Real-world applications:

  1. Generating audio files from internal content for call center use:

  • Pre-enter the text content that needs to be delivered (e.g., appointment reminders, promotional messages).

  • AI converts the text into audio → stores and sends it to the auto-calling system.

  1. Training AI or generating voice data for products:

  • Text content (scripts, guides, FAQs, etc.) is converted into speech.

  • Used to build a voice library for training or automated voice chatbot responses.

  1. Automating internal reports or announcements:

  • Employees create reports in text format.

  • The bot converts the text into audio files → sends them to internal systems for playback to relevant teams.

Example:

Employee:

Sends report content: “Project A has completed the testing phase and is ready for deployment.”

Bot (AI Convert Text to Speech):

Converts the text into an audio file and stores it as: {{answer}} to be sent to the processing system.

Setup Steps:

Step 1: Create basic processing blocks

  1. “question” block

Receives the input text from the user (or system) and stores it in the {{question}} variable.

  1. ChatGPT Convert Text to Speech block

Create a new block → Integration AI → ChatGPT

  • Type: Convert text to speech

  • Voice: alloy (or another voice based on your use case)

  • Message sent to OpenAI:

{{question}}

  • Save response value to property: {{answer}}

  1. If processing is successful:

→ The audio file {{answer}} is sent to another system (e.g., CRM, call center, etc.) for storage or further use.

  1. “failed” block

If the process fails → the bot redirects to the “failed” block to display an error message.

Flow Diagram Overview:

  • Flow:

  • Text content is entered → saved to question

  • question is sent to ChatGPT → AI converts it to speech (audio file) → saved to answer

  • If successful → answer is sent to the appropriate system (call center, CRM, analysis, etc.)

  • If it fails → redirect to failed block

Tips:

  • You can use various voice types (male, female, natural, emotional, etc.) depending on the scenario.

  • Ideal for automated call centers, voice chatbots, or internal virtual assistants.

  • You may include an additional step to analyze text content before converting it to speech for better message optimization.

See also: