SUPERTONIC-3 • Lithuanian

Lithuanian text to speech

Model: Supertonic-3 Acoustic Rate: 24 kHz Audio Containers: WAV / OGG Request Limit: 2,000 chars Script: Lithuanian alphabet

Lithuanian text to speech on Qefro Voice Studio uses one voice from Supertonic-3. Paste Lithuanian text, generate, then download WAV, or OGG when the engine has ffmpeg. Speed and pitch are not available. Gujarati, Odia, and Urdu are separate languages this engine does not speak.

Try a Lithuanian line

Labas. Sveiki atvykę į Qefro Voice Studio. Ši ilgesnė pastraipa nėra tik trumpas pasisveikinimas. Čia papasakota maža scena, kad išgirstumėte pauzes tarp sakinių, žodžių svorį ir baigiamąjį toną. Ryto turgus budo lėtai. Pardavėjas dėliojo šviežias gėles, arbatos kvapas išėjo į skersgatvį, o vaikai prieš mokyklą kartą atsigręžė. Geras balsas šių vaizdų neskubina. Paklausę pakeiskite du žodžius ir sukurkite iš naujo.

Open Studio with Lithuanian Voice

Real-world Lithuanian voiceover scenarios

Tested production scripts for reels, tutorials, announcements, and telephony:

Social Reel Voiceover

Lithuanian video narration hook

Labas. Sveiki atvykę į Qefro Voice Studio. Ši ilgesnė pastraipa nėra tik trumpas pasisveikinimas. Čia papasakota maža sc…

Context / Translation: Introductory narration sample for Lithuanian short-form video content.

Explainer & Tutorial

Lithuanian instructional walkthrough

Context / Translation: Extended paragraph demonstrating sentence pauses and rhythm in Lithuanian.

Store & Promo Announcement

Lithuanian commercial announcement

Labas. Sveiki atvykę į Qefro Voice Studio. Ši ilgesnė pastraipa nėra tik trumpas pasisveikinimas. Čia papasakota maža scena, kad išgirstumėte pauzes t…

Context / Translation: Promotional broadcast sample in Lithuanian.

Customer Care & IVR

Lithuanian phone system greeting

Labas. Sveiki atvykę į Qefro Voice Studio. Ši ilgesnė pastraipa nėra tik trumpas pasisveik…

Context / Translation: Customer service telephony greeting in Lithuanian.

Linguistic notes & pronunciation considerations

Lithuanian text to speech is synthesized using the Supertonic-3 neural model with neutral acoustic cadence. The engine respects native punctuation pauses, sentence-final intonation, and syllable cadence. Punctuation marks such as commas, full stops, and question marks dictate realistic pauses and pitch inflection.

How Lithuanian speech is made

Open the studio with Lithuanian selected.
Paste your Lithuanian script. The engine limit is 2,000 characters per request.
Click Generate voiceover and download the audio file directly in your browser.

Developer API cURL snippet

Automate Lithuanian voiceover generation directly in your application backend:

curl -X POST https://voice.qefro.com/api/v1/tts   -H "Authorization: Bearer YOUR_API_KEY"   -H "Content-Type: application/json"   -d '{"text": "Labas. Sveiki atvykę į Qefro Voice Studio. Ši ilgesnė pastraipa nėra tik trumpas pasisveikinimas. Čia papasakota maža sc…", "lang": "lt", "format": "wav"}'   --output voiceover.wav

Frequently asked questions about Lithuanian TTS

Which neural model generates Lithuanian speech?

Lithuanian text to speech is powered by the Supertonic-3 model on the Qefro TTS microservice.

What audio containers can I download for Lithuanian?

You can download lossless 16-bit PCM WAV audio and compressed OGG Vorbis audio directly in your browser or through the API.

What is the character limit for Lithuanian conversion?

Up to 500 characters per conversion for guests, and up to 2,000 characters per request for registered accounts and API callers.

Can I automate Lithuanian voiceover creation with code?

Yes. An active API plan provides a Bearer token for POST https://voice.qefro.com/api/v1/tts returning WAV or OGG audio.

Other supported languages

Indic neural voices (VITS • 24 kHz)

Assamese Bengali Bodo Dogri Kannada Maithili Malayalam Marathi Nepali Punjabi Sanskrit Tamil Telugu

Global neural voices (Supertonic-3)

Arabic Bulgarian Croatian Czech Danish Dutch English Estonian Finnish French German Greek Hindi Hungarian Indonesian Italian Japanese Korean Latvian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Turkish Ukrainian Vietnamese