Use Speechify as a go-to Voice Assistant for everyday life: read text out loud, type across platforms like Google Docs and Gmail, polish your writing, and answer questions on any website.
With Speechify, you can even quiz yourself on readings, summarize key takeaways from articles, and create podcasts perfectly tailored to your interests.
This is the 4th launch from Speechify. View more
Simba Voice Agents
Launching today
Simba Voice Agents: build production voice agents on Simba 3.2, the #1 model on Artificial Analysis. Sub-100ms, streaming-native, real emotion and SSML. The best real-time voice, now a full agent platform, on Speechify's new Speechify Developer Platform.
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Launch Team / Built With
Speechify
Hey folks! Luke here, I run developer relations at Speechify.
This is the underdog story for API providers. Speechify has spent years making our models run efficiently because our consumer business demanded it, tens of millions of listeners with some of the best voices on the planet. Commercially, the faster and more efficient it got, the better. And that work is why we can now put the best-rated model in the world on our API.
Simba 3.2 just went #1 on Artificial Analysis, and on Voice Arena it's the top real-time model for both quality and price, at $6 per 1M characters, the cheapest in the top ten. Capable of sub-100ms latency, streaming-native, with real emotion and SSML control. It's the same model that powers our consumer apps for 60M+ people, now rolling out on our new developer platform across SpeechifyAI Agents and SpeechifyAI Build, with a REST API and first-party TypeScript and Python SDKs.
Most labs built for the benchmark and priced for the enterprise. We built for listeners and priced for production.
@lukeocodes Congrats on the launch! I liked the story behind how this product evolved.
With new AI products launching almost every day, I'm curious how you're thinking about marketing. What's your strategy to make Speechify stand out when many products are making similar claims?
Speechify
@dipti_jodhani Thank you! I understand what you're saying, but right now they're not just claims, we're literally ranking top on Artificial Analysis which is notoriously difficult to do. It's a blind-tested by community members.
But, it is going to be a battle. Right now we're focussed on reliability and visibility. We want everyone to know we're here, and when they give us a go it has to work.
Our quality is up there at the top and our price is the lowest in the top ten, so if folks are looking for quality we want to prove it is no-longer a decision you make with your budget, but with your ears
@lukeoliff Congrats to the Speechify team! 🎉 Loved seeing this expand into a full developer platform.
Curious about voice customization on Speechify Developer Platform: can developers bring their own custom-cloned voices or fine-tuned emotion profiles onto the Simba 3.2 API, or is it currently optimized for Speechify's core library of voice models?
Speechify
@franz_briones we support 3.2 cloning but it is through our FDEs currently while we ensure you're getting the highest quality clones. 3.0 and 1.6 cloning are self-serve. You can jump straight into a conversation about that with our team at https://speechify.ai/contact
Speechify being framed as an AI Voice Assistant makes me wonder about the core workflow you’re optimizing for. Is the main use case more around dictation, hands-free task execution, or connecting voice commands into AI workflow automation? Since it’s also listed near Developer Tools and AI Agents, I’d be interested to know whether there are integrations or APIs planned for teams that want to plug it into existing tools.
Speechify
@mia_qiao Speechify has for the last almost-decade been focussed on providing really great consumer apps. This launch is part of a larger step into APIs and integrations. You can checkout more on our developer site https://speechify.ai
DiffSense
Anywhere I can hear a sample of this voice?
Speechify
@conduit_design Sure can, the hero on speechify.ai is blind testing, you'll hear us and a random competitor
DiffSense
@lukeocodes I feel its heavy leaning towards audio-book and podcast. I guess because it was trained on that? Which serves 2 usecases. But voice has so many other usecases. like product presentation videos etc. It would be interesting to hear some examples for that too.
Speechify
@conduit_design Speechify started in that space, but Speechify.ai is a Voice API provider with no intended vertical or specific usecase. Artificial Analysis is a leaderboard that favours no particular usecase either, and blind tests on user provided strings instead of any pre-defined strings - impossible to game.
DiffSense
@lukeocodes Right but all the examples on the landingpage are podcast or audiobook. 😅 Maybe add other examples for different usecases?
Congrats on the launch. Do you have any plans to make the speech-to-text/dictation feature available through APIs in the future? I'd love to be able to transcribe user speech directly inside my own app
Speechify
@pvermes I'm going to double check what I am allowed to say here ;)
sub-100ms at $6/1M chars is a serious combo. we're chasing similar latency for voice checkins but staying fully on-device instead of hitting an api — is that number end-to-end from audio in to first byte out, or just model inference?
Speechify
@sabber_ahamed we have a paper on sub-100ms that explains it all, but it would be part of a conversation with our team. You can book time with someone here: https://speechify.ai/contact
sub-100ms streaming is the number that actually matters here, most "real-time" voice stacks stop being real-time once you add the network round trip. is that 100ms end-to-end including the hop, or just internal generation time?