Spoken
Audiobook production
Indie authors were stuck with robotic voices. Now, text analysis maps emotional cues to generate studio-grade, multi-cast audio.
- 80% usage rate for multi-cast storytelling
- 63% author preference rate for AI voices
Standard tools sounded flat across 3,000 weekly episodes. Now, 50 AI hosts engage listeners with nuanced, programmable emotion.
The world's largest independent podcast network by show count manages over 5,000 shows and produces 3,000 episodes weekly for 11 million listeners.
Producing content at this volume required consistent voice quality that would not degrade under massive workloads. Standard narration tools lacked...
“Hume was a game changer for us. It gave us the ability to create and own voices with character, emotion, and depth that no other tool provided. The nuanced feelings we can program make our audio truly stand out.”
AI-powered personality and character creation platform for digital media.
AI platform for building expressive, emotionally intelligent voice applications.
Related implementations across industries and use cases
Indie authors were stuck with robotic voices. Now, text analysis maps emotional cues to generate studio-grade, multi-cast audio.
Recording costs bottlenecked daily output. An emotive AI lead now voices a #1 hit so realistic that experts believed it was human.
Raw AI audio was too generic to publish. Users now clone voices to turn flat drafts into broadcast-ready shows without a mic.
Manual narration limited coverage to contenders. AI now voices every shot and assembles personalized highlight reels in minutes.
Rigid menus trapped users in queues. An AI agent now resolves inquiries on WhatsApp instantly, boosting response accuracy 109%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.