Realtime TTS-2

Voice AI that feels as good as it sounds

API

Developer Tools

Artificial Intelligence

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Realtime TTS 2 is our best model yet.

It's designed to be a frontend of a voice interfaced application of any kind and scale.

Besides naturalness and multilingual quality improvements, in this iteration, this model can't be actually called a "yet another" TTS. Because similarly to speech-to-speech models, Realtime TTS 2.0 was trained to be explicitly steered to provide the most appropriate response, given the conversation context and agent's goal.

Check it out!

The #1 TTS on Artificial Analysis just got a major capability upgrade. Most voice AI hears what you say. Realtime TTS-2 hears how you say it.

Had a great conversation with Myles. Highly recommend trying it yourself at realtime.ai. It's truly impressive.

I'm most excited about the improvements made in cross-lingual. It's so seamless to have an engaging conversation and switch between multiple languages like English, Hindi, then French and it's the same voice.

It sounds too much like audio book narration. I guess it was trained on that input? Same thing that plagues every single elevenlabs voice. The only voice that sounds human out there is the alloy voice from open ai. and thats an old ai voice. its so strange. this field should be wide open. competative. whats going on ? what an I missing?

training on conversation instead of narration is the right call. every voice agent ive tried sounds like an audiobook reading my support ticket back.

congrats team !!

The voice control seems to be crazy good, you can just describe the tone and it gets really close without all the tweaking. Feels more usable than most TTS tools I’ve tested. I am gonna test it!

Pushing the frontier! Congrats to the team and thank you to all of the partners and customers whose feedback has helped shape TTS-2. Onwards and upwards!

Hey everyone, Andreas from the Inworld team! I've been pumped about this launch for weeks and I'm so excited that we finally get share TTS-2 with you all. If you want to hear what it can do, jump into the playground at inworld.ai/tts and try voice design or steering for yourself or play with our realtime demo at realtime.ai. Would love to hear your reactions!

Hi Product Hunt! We're back! I'm Kylan, CEO and co-founder of @Inworld.

Some of you might remember when we launched Inworld TTS here. It went on to become the #1 ranked voice AI on Artificial Analysis, voted best in blind listening tests by thousands of real users. That meant a lot to us, so we went back and rebuilt the model from the ground up.

Today we're launching Realtime TTS 2.0. Try the live speech-to-speech experience at realtime.ai. 

Here's the thing we kept hearing from builders: voice AI was built for audiobooks and voiceovers. It sounds good, but it sounds like a human reading from a script. If you've ever talked to a voice agent and thought "something feels off," that's why. Realtime conversation is a completely different problem, and we decided to solve it.

What can you build with it?

• Companion apps that adapt to your user's mood and tone in real time through natural language voice direction

• Language tutors that switch languages mid-session with the same voice, no re-recording

• Characters that sound exactly how you describe them with text-based voice design

• Support agents that get every code, name, and number right with improved alphanumeric handling and International Phonetic Alphabet (IPA) support

So what actually changed?

Natural conversationality. We trained the model on conversational speech instead of narration. You get natural rhythm, breath, micro-pauses, the cadence humans actually use when they talk to each other. Every voice you build on TTS 2.0 sounds like a person in conversation, not a narrator.

Conversational awareness. TTS 2.0 is informed by the full audio context of the multi-turn exchange. Not just the current sentence, the whole conversation. How it speaks adapts to how it was spoken to. A line delivered after a joke lands differently than the same line after bad news. The model knows the difference because it heard what came before.

Full voice direction. You steer the model with natural language the way you'd direct a voice actor. Not preset emotion tags, full descriptions: "act like you just got home from a long day, tired but warm." Combined with inline controls for specific moments ([whispering], [sigh], [excited]), the voice is as controllable as it is expressive.

Text-based voice design. Describe a voice in plain text, generate it. "A posh british man, aged 30-40, speaking deliberately" Iterate on the prompt until it fits, save it, deploy it. No casting calls, no recording booth.

Crosslingual fluency. One voice across 100+ languages with on-the-fly switching inside a single generation. Your voice identity is preserved across every language. No re-recording, no managing separate voices per locale.

Realtime TTS 1.5 is still #1 on the leaderboard. TTS 2.0 takes that quality and adds everything that was missing to uplevel realtime conversation.

Learn more at inworld.ai/tts.  Happy to answer any questions in the comments.

– Kylan