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Speech to Speech

Transform spoken audio — change voice, emotion, language, and style while preserving the original content.

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Source Audio

Drag & drop your file here, or browse

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

file.mp3

0 MB
— or record your voice —
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Transformation Settings

Drag & drop your file here, or browse

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

file.mp3

0 MB

Result

Upload speech audio, choose your transformation, and click Transform to get started

Transforming speech... This may take a moment.

Original

Transformed

How It Works

1. Upload Speech

Record or upload the audio you want to transform

2. Choose Transform

Select voice change, style transfer, or language conversion

3. AI Transforms

AI processes audio end-to-end preserving speech content

4. Download

Listen to the result and download your transformed audio

Use Cases

Speech to speech for content, accessibility, and creative projects

Video Dubbing

Dub videos into other languages while preserving the original speaker's voice characteristics.

Emotion Adjustment

Change the emotional tone of recordings — make calm speech excited, or neutral speech warm and friendly.

Voiceover Production

Transform rough voice recordings into polished voiceovers with different voices and styles.

Voice Anonymization

Disguise a speaker's identity while preserving every word, for whistleblowing or privacy protection.

Speech to Speech Models

OpenVoice

Fast voice conversion with granular style control. Change voice identity, speed, and emotion in seconds.

  • Fast processing
  • Style transfer
  • Cross-lingual

Chatterbox

Zero-shot voice cloning with fine-grained emotion control from Resemble AI.

  • Emotion control
  • Zero-shot cloning
  • High fidelity

CosyVoice 2

Cross-lingual voice cloning across 8 languages with natural prosody and streaming support.

  • 8 languages
  • Voice cloning
  • Streaming

Frequently Asked Questions

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 characters. A typical 1-minute conversion uses 3,000-8,000 characters 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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Transform Any Speech with AI

Change voice, emotion, language, and style. Sign up free and get 15,000 characters to start.

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