EACHLABS
Updated to OpenVoice v2: Versatile Instant Voice Cloning
Avg Run Time: 14.000s
Model Slug: openvoice
Playground
Input
Enter a URL or choose a file from your computer.
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audio/mp3, audio/wav (Max 50MB)
Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
openvoice — Voice-to-Voice AI Model
Transform any voice sample into a precise clone in seconds with openvoice, the updated OpenVoice v2 from eachlabs — a versatile instant voice cloning solution that delivers accurate tone, style, and emotion replication without complex training. Developed by eachlabs as part of the eachlabs family, openvoice stands out for its ability to clone voices from just a few seconds of audio, supporting multiple languages and granular control over speaking styles like emotion, accent, and rhythm. Ideal for creators and developers seeking "voice-to-voice AI model" capabilities, this eachlabs voice-to-voice tool eliminates the need for lengthy datasets, enabling rapid deployment in apps, audiobooks, and personalized media.
Technical Specifications
What Sets openvoice Apart
openvoice differentiates itself in the voice-to-voice AI landscape through concrete advantages like zero-shot voice cloning from short 2-10 second clips, flexible multi-language support across 100+ languages with native pronunciation accuracy, and precise style control for attributes such as emotion, speed, and accent — features not matched by most competitors requiring extensive fine-tuning.
- Instant cloning from minimal audio: Clones a speaker's voice using just seconds of reference audio, enabling users to generate natural-sounding speech without hours of training data collection.
- Granular style transfer: Controls pace, emotion (e.g., happy, angry), and accent independently, allowing creators to adapt cloned voices for diverse scenarios like dubbing or virtual assistants with authentic expressiveness.
- Multi-speaker and cross-lingual synthesis: Handles multiple reference speakers and synthesizes in non-English languages seamlessly, empowering global content production where traditional models falter on accents or prosody.
Technical specs include WAV/MP3 input/output formats, real-time processing under 1 second for short clips, and high-fidelity 48kHz audio output. For those searching "openvoice API" or "best voice cloning AI," these capabilities make it a top choice on Eachlabs.
Key Considerations
- Audio Input Duration:
For efficient processing and accurate cloning, the audio input should ideally be approximately 60 seconds long. Aim to provide a clean and uninterrupted audio sample for better results. - Processing Efficiency:
Longer inputs, whether text or audio, may significantly increase processing time. Optimizing input size ensures faster and more reliable results. Clarity and Quality:
Clear, high-quality inputs—both text and audio—are critical for achieving accurate and natural-sounding output. Avoid noisy or overly complex data.
Tips & Tricks
How to Use openvoice on Eachlabs
Access openvoice through Eachlabs Playground for instant testing — upload a reference audio clip (2-10s), enter your text prompt with style controls like "emotional=joyful, accent=American," and generate high-fidelity WAV output in seconds. Developers leverage the openvoice API or SDK for scalable apps, with parameters for speaker reference, text, tone, and language. Eachlabs delivers consistent, production-ready voice-to-voice results optimized for real-time use.
---Capabilities
- Real-Time Synthesis: Stream text-to-speech output for live applications.
- High-Fidelity Audio: Produces clear, natural-sounding speech suitable for professional use.
What Can I Use It For?
Use Cases for openvoice
Content creators producing audiobooks or podcasts: Upload a 5-second voice sample and generate chapters in the narrator's exact timbre with adjusted pacing for emphasis — perfect for "AI voice cloning for podcasts" without hiring voice actors. For instance, input a reference clip and prompt: "Read this sci-fi excerpt in a mysterious, slow-paced tone with a British accent."
Developers building multilingual apps: Integrate openvoice via API to clone user voices for personalized IVR systems or chatbots, supporting seamless switches between languages like English to Mandarin while preserving emotional nuance — ideal for "voice-to-voice AI model" integrations in global customer service tools.
Marketers creating personalized video ads: Clone a brand spokesperson's voice for localized campaigns, applying excitement for promos or calm for tutorials, streamlining "instant voice cloning" workflows that cut production time from days to minutes.
Game designers crafting immersive NPCs: Use short actor clips to generate dynamic dialogue with varied emotions and accents, enhancing realism in RPGs where eachlabs voice-to-voice excels over rigid text-to-speech alternatives.
Things to Be Aware Of
- Dynamic Narration: Generate audiobooks with expressive narration using custom voices.
- Language Experiments: Test the model’s capabilities across different languages and accents.
- Interactive Applications: Use real-time synthesis for interactive voice applications like games or chatbots.
Limitations
- Highly Complex Text: May struggle with synthesizing speech for highly technical or ambiguous text.
- Emotion Range: While capable of expressive speech, it may not fully capture nuanced emotions.
- Background Noise: Generated speech may sound less natural when combined with inconsistent background audio.
- Output Format: WAV
Pricing
Pricing Detail
This model runs at a cost of $0.001265 per second.
The average execution time is 14 seconds, but this may vary depending on your input data.
The average cost per run is $0.017710
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
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