Hume AI

Upload the book's PDF directly to the platform.

Use natural language prompts to create unique voices for each character.

Assign acting instructions (e.g., whispers, shouts) for dramatic moments.

Generate the full audio file, review the delivery, and publish the audiobook.

Clone the brand ambassador's voice using a few seconds of audio or select a preset.

Input the advertisement script into the text-to-speech interface.

Apply emotional tags such as 'warm enthusiasm' or 'high-energy hype'.

Download the generated high-quality audio and sync it to the video timeline.

Draft a multi-speaker podcast script.

Select distinct voice identities for each speaker in the dialogue.

Add pauses and conversational fillers (e.g., 'uh', 'like') via text instructions.

Generate and download the studio-quality podcast audio.

Integrate the Empathic Voice Interface (EVI) via the API into the support platform.

Provide system instructions to the foundation model regarding company policies.

Deploy the voice agent to listen to customer queries and detect emotional distress.

Allow the agent to respond with a naturally empathetic tone and tailored solutions.

Collect opt-in face and voice data from users interacting with a product.

Route the multimodal data through Hume's Expression Measurement API.

Extract the 600+ emotion tags generated by the analysis engine.

Compile the data into a centralized dashboard to understand true user sentiment at scale.