One route to the
right TTS model.

Discover text-to-speech models across providers. Humlet is building smart routing for language, accent, and voice fit through one layer.

Explore TTS models Hear a voice sample ↓

Startup programs & cloud support

Text to speech

Explore tools

Provider to explorePrepared sample

Text inputText

Team catch-upHindi + English

Meeting kal 3 baje hai. Please send the notes.

Prepared narration · sample text

Sample output

Prepared voice sample

0:00 / 0:03

Illustrative output

Samples are illustrative, independent of provider.Cartesia docs

Sample modeNo live API requests · no keys required

Your speech stack, with room to grow.

Explore all 10 tools

Start with text to speech.
Find the model that fits.

DeepgramElevenLabsCartesiaInworld+ more

Explore providers in the directory. Listings are not active Humlet integrations.

Give your app
a voice.

Start with text to speech. Find the voice, delivery, and provider that fit.

Voices & languages01

Sound like you belong.

A language on a list is only the beginning. Find a voice that handles your names, local pronunciation, and mixed-language scripts.

Check the exact voice and language pair.
Listen to the words your users actually say.

Explore voice selection

Streaming speech02

Start speaking sooner.

For a spoken reply, audio can arrive in chunks while generation continues. For narration, a complete file gives you room to review before publishing.

Stream responses for interactive conversations.
Generate files for lessons and narration.

Choose a delivery mode

Provider choice03

Make the details fit.

The voice is one part of the choice. Compare audio formats, playback controls, language support, and how a provider bills each request.

Match the output to your app’s player.
Check limits and billing before you scale.

Compare TTS tools

Explore TTS providers today. Humlet access is in preparation; voice options and language coverage vary by provider.

The idea behind Humlet

One connection.
The right TTS model.

Explore text-to-speech models today. We’re building one layer that can choose between providers for the language, accent, and voice your product needs.

Your AI agentYour application

humletSmart TTS routing

Language fitAccent fitTTS models

Explore now

Compare TTS models.

Review text-to-speech options across 7 providers and their documented capabilities.

In development

Connect once.

Our first focus: one consistent interface across text-to-speech providers.

The longer view

Route intelligently.

Choose models around language, accent, voice fit, and delivery needs as your product grows.

For the people building it

Start with the
conversation.
Then choose the tools.

A voice agent and a narrated article need different voices and delivery. Start with the text-to-speech experience you want to build.

Choose streaming speech or generated audio files.
Evaluate pronunciation, language coverage, and voice quality.
Bring a concrete brief to an integration conversation.

I’m building

{
  "project": "An audio product",
  "capabilities": [
    "text-to-speech"
  ],
  "audio": "generated files",
  "evaluate": [
    "pronunciation",
    "voice consistency",
    "cost per finished minute"
  ],
  "provider_preference": "To be decided",
  "access": "Request Humlet early access"
}

A planning brief. No SDK or credentials required.

ChirpberryApp preview

Spanish

Las buenas ideas
no tienen fronteras.

English

Good ideas
have no borders.

A conversation, with room for everyone.

Meet the companion app

A speech layer.
A human side.

Chirpberry brings the story into an application: a companion for conversations that move between languages.

Chirpberry is the app, powered by Hushfig. Humlet is our separate direction for discovering and connecting speech tools.

Meet Chirpberry

A few things
worth asking.

How is Humlet different from Hushfig?

Hushfig is our direct speech API brand for transcription and translation. Humlet starts with text-to-speech discovery and comparison, with a shared connection to voice providers in development. Today you can explore and compare the directory; automatic routing is still in development.

What is Humlet building?

Humlet is working toward one layer that can route text-to-speech requests between models based on language, accent, voice fit, and delivery needs. Today you can explore a curated TTS directory and prepared samples. Live multi-provider routing, unified billing, and self-service keys are not yet available.

Can I use every tool through Humlet today?

Not yet. The directory describes services available from their respective providers, with links to official documentation. A listing is not an active integration or a partnership. Humlet developer access is being prepared.

Does it work with every language and accent?

Coverage depends on the provider, model, and task. Evaluate your actual languages, accents, noise conditions, and terminology. The directory helps you find candidates; it does not claim universal recognition or translation quality.

Is a transcription language also a text-to-speech language?

Not necessarily. Recognizing speech, translating text, and generating a voice are separate capabilities. Check support for the exact output language and voice preset, including whether it works with streaming or file generation. A single overall language count does not answer those questions.

Can I use speech tools in a learning app?

Yes. Narrated lessons, spoken practice, and lecture notes use different combinations of generation, recognition, and formatting. Pronunciation assessment, lesson storage, school permissions, and LMS connections need their own application work. Start with the specific experience and confirm what each tool supports.

Does text to speech translate my words?

Text to speech reads the text you supply. To speak in another language, translate the text first, then generate audio with a compatible voice. Check names, numbers, and meaning before the translated speech reaches your users.

Can I get an API key or try live audio?

Self-service keys and live audio processing are not available on this website. The playground uses prepared audio and illustrative outputs, independently of the selected provider. The meeting page separately replays a recorded API result using synthetic sample audio. You can explore the directory, prepare an integration brief, and visit the Chirpberry application website.