Kulankhula kwa Chilankhulo

Transform akulankhula audio - kusintha mawu, chisoni, zinenero, ndi mtundu pamene kuteteza zinthu zoyambirira.

Kuchokera kwa Audio

Drag & drop wanu fayilo apa, kapena browse

Upload your speech recording. MP3, WAV, FLAC, OGG. Max 50MB.

file.mp3

0 MB
— kapena kujambula mawu anu —
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Zosankha Zosintha

Drag & drop wanu fayilo apa, kapena browse

Upload a reference of the target voice. 10-30 sec recommended.

file.mp3

0 MB

Phunziro

Upload mawu audio, kusankha kusintha kwanu, ndi kumadula kusintha kuti ayambe

Kusintha mawu... Kusinthaku kungatenge nthawi.

Choyambirira

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Zosintha

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Momwe Zimagwira Ntchito

1. Upload mawu

Record kapena kukopera audio mukufuna kuti atembenuke

2. Sankhani kusintha

Sankhani kusintha kwa mawu, kusintha kwa mtundu, kapena kusintha kwa zinenero

3. AI Amasintha

AI imagwiritsa ntchito ma audio end-to-end poteteza mawu a mawu

4. Lowani

Kumvetsera zotsatira ndi kutsitsa wanu transformated audio

Kugwiritsa ntchito Cases

Kulankhula kwa mawu kwa masamba, kupezeka, ndi ma projekiti opanga

Video Dubbing

Dub mavidiyo m'zinenero zina pamene kuteteza wokamba orijinali

Kusintha kwa Emotion

Sinthani maganizo a zolemba zanu — onetsetsani kuti mawu anu ndi olimba mtima, kapena mawu anu ndi olimba mtima komanso othandiza.

Voiceover Production

Sinthani zolemba za mawu zosapanga dzimbiri m'ma voiceovers oyera ndi mawu osiyanasiyana ndi mitundu.

Voice Anonymization

Disguise a speaker

Speech to Speech Models

OpenVoice

Fast mawu kusintha ndi granular style kuwongolera. kusintha mawu chisamaliro, kuthamanga, ndi maganizo mu masekondi.

  • Kuthamanga kwa processing
  • Kusintha kwa mtundu
  • Cross-lingual

Chatterbox

Zero-shot mawu kloning ndi fine-grained kuwongolera maganizo kuchokera Resemble AI.

  • Kuwongolera maganizo
  • Zero-shot cloning
  • High fidelity

CosyVoice 2

Cross-lingual voice cloning m'zinenero 8 ndi prosody yachilengedwe ndi kuthandizira kwa streaming.

  • Zilankhulo 8
  • Chizindikiro cha mawu
  • Mtsinje

Funso Lofunsidwa Kawirikawiri

Speech to speech (STS) AI transforms one spoken audio recording into different speech output — changing the voice, style, emotion, or language while preserving the original words and timing. It combines speech recognition, processing, and synthesis into a single pipeline.

Text to speech converts written text into audio. Speech to speech takes existing audio as input and transforms it directly into new audio — preserving the natural rhythm, pauses, emphasis, and emotion of the original recording rather than generating speech from flat text.

Common uses include dubbing videos into other languages, changing the speaker voice in a recording, adjusting emotion or tone of existing audio, creating voiceovers from rough recordings, and anonymizing voice recordings while keeping the content.

Voice conversion models like OpenVoice and RVC handle voice-to-voice transformation. For cross-lingual speech to speech, CosyVoice 2 and GPT-SoVITS can clone and re-synthesize in a different language. Chatterbox also supports reference-audio-based synthesis.

Yes. Using voice cloning models, you can transform your speech into a different language while preserving your own voice characteristics. The AI extracts your voice identity and re-synthesizes the audio in the target language or style.

The pipeline first transcribes your speech, translates the text to the target language, then uses voice cloning to synthesize the translated text in your original voice. Models like CosyVoice 2 support 8 languages for cross-lingual synthesis.

For best results, upload clean audio with minimal background noise. WAV or FLAC at 16kHz or higher works best. MP3, OGG, M4A, and WEBM are also accepted. Clear speech produces the most accurate transformations.

Near-real-time processing is available via our API using fast models like Kokoro for synthesis and Faster Whisper for recognition. Latency depends on the model and audio length, but sub-3-second turnarounds are achievable for short utterances.

Yes. Models like Chatterbox, Spark TTS, and IndexTTS-2 support emotion and style control. You can transform calm speech into excited, sad into happy, or neutral into dramatic while keeping the same words and speaker identity.

Speech to speech combines recognition and synthesis credits. A typical 1-minute conversion uses 3-8 credits depending on the models selected. Free-tier models like Kokoro can be used for the synthesis step at zero cost.

Free users can process audio up to 1 minute. Paid plans support files up to 10 minutes. For longer recordings, split the audio into segments or use our API for batch processing with no length limits.

Yes, all uploaded audio is processed on our secure GPU servers and automatically deleted within 24 hours. We never use your audio to train models. All transfers use encrypted connections and server-to-server communication is authenticated.
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