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Description
Transform your audio into different languages while maintaining the original voices. The service accepts only audio files, YouTube videos, or audio links that are under 15 minutes in length. You can upload an audio file, a YouTube link, or an audio link directly on our platform. Our website specializes in converting podcasts, audio files, and YouTube content into various languages, ensuring that the speaker's distinct voice remains intact. The translation procedure consists of multiple phases. Initially, the audio is transcribed into text through advanced speech recognition technologies. Following that, the transcribed text is translated into the selected languages using cutting-edge machine translation tools. The last step involves transforming the translated text back into speech, closely resembling the original speaker's tone and style. The time required for the translation process can vary based on the audio's length and the chosen target language. Typically, shorter audio files can be processed in approximately 3 minutes, while longer ones could take up to 10 minutes to complete. You are welcome to upload a range of audio file formats, including MP3, WAV, or M4A, to take advantage of this innovative service. This allows for seamless communication across language barriers, making your content accessible to a wider audience.
Description
Qwen3-Omni is a comprehensive multilingual omni-modal foundation model designed to handle text, images, audio, and video, providing real-time streaming responses in both textual and natural spoken formats. Utilizing a unique Thinker-Talker architecture along with a Mixture-of-Experts (MoE) framework, it employs early text-centric pretraining and mixed multimodal training, ensuring high-quality performance across all formats without compromising on text or image fidelity. This model is capable of supporting 119 different text languages, 19 languages for speech input, and 10 languages for speech output. Demonstrating exceptional capabilities, it achieves state-of-the-art performance across 36 benchmarks related to audio and audio-visual tasks, securing open-source SOTA on 32 benchmarks and overall SOTA on 22, thereby rivaling or equaling prominent closed-source models like Gemini-2.5 Pro and GPT-4o. To enhance efficiency and reduce latency in audio and video streaming, the Talker component leverages a multi-codebook strategy to predict discrete speech codecs, effectively replacing more cumbersome diffusion methods. Additionally, this innovative model stands out for its versatility and adaptability across a wide array of applications.
API Access
Has API
API Access
Has API
Integrations
ConvNetJS
GPT-4o
Gemini 2.5 Pro
Gemini 2.5 Pro Deep Think
Gemini 3 Deep Think
OpenClaw
Integrations
ConvNetJS
GPT-4o
Gemini 2.5 Pro
Gemini 2.5 Pro Deep Think
Gemini 3 Deep Think
OpenClaw
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CloneDub
Website
www.clonedub.com
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog