A TTS model should give you two things: an oscar-worthy performance and a verifiable signature to prove it's yours. DramaBox is the first to do both. Describe a scene the way you would to an actor, like 'a talk show host gasps in mock shock, bursts into laughter,' and the model interprets it as performance. Every output is watermarked with Resemble Watermarker. Open source, English-only for now, find it in your Resemble account or on Hugging Face.
Hey Product Hunt 👋 Tedi here, CTO at Resemble AI.
Today we're launching DramaBox, a watermarked and open-source TTS model you direct the way you'd direct an actor.
What you put in:
- A natural language scene description
- Dialogue in quotes (e.g., "HAHAHA! I can't believe it!")
- Optional: a reference voice that the model will clone from, or let the model pick one that fits the scene
- Example: 'A talk show host gasps with shock, "No! You did NOT just say that!" He bursts into uncontrollable laughter, "Hahaha! Oh my god, oh my god!" He wheezes, "I cannot, I literally cannot breathe right now!"'
What you get out:
- An expressive vocal performance with laughter, gasps, pacing, and emphasis driven by the scene description
- 48kHz stereo, broadcast-quality output
- A single audio file ready to ship
- PerTh watermarking embedded at generation for provenance
All without style tags, emotion tags or post-processing required! DramaBox is open source, and available on GitHub, Hugging Face or in your Resemble account.
A note on why we included watermarking by default: gen AI is being used in increasingly malicious ways, so voice AI with embedded security gives everyone who builds with DramaBox a verification advantage. If you're building an agent, feel free to check out our detection API as well.
Curious to see and hear what you build, please share feedback or any interesting edge cases with us here.
Tedi
When using DramaBox, how consistent is the performance if you generate the same prompt twice, do you get similar delivery or totally different takes?
The shift from text to vocal performance is exciting for storytellers. Is there support for multiple characters with distinct accents within a single scene description?
About DramaBox by Resemble AI on Product Hunt
“AI turns scene descriptions into vocal performances”
DramaBox by Resemble AI launched on Product Hunt on May 15th, 2026 and earned 82 upvotes and 5 comments, placing #25 on the daily leaderboard. A TTS model should give you two things: an oscar-worthy performance and a verifiable signature to prove it's yours. DramaBox is the first to do both. Describe a scene the way you would to an actor, like 'a talk show host gasps in mock shock, bursts into laughter,' and the model interprets it as performance. Every output is watermarked with Resemble Watermarker. Open source, English-only for now, find it in your Resemble account or on Hugging Face.
DramaBox by Resemble AI was featured in Productivity (651.7k followers), Artificial Intelligence (468.5k followers), GitHub (41.2k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 250k products, making this a competitive space to launch in.
Who hunted DramaBox by Resemble AI?
DramaBox by Resemble AI was hunted by Tedi P. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DramaBox by Resemble AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tedi P