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Description
The Media Translation API provides instantaneous translation of speech for your content and applications, directly utilizing your audio files. By harnessing the power of Google’s advanced machine learning technologies, this API ensures superior accuracy and seamless integration, while also offering a robust suite of features to optimize your translation outcomes. Enhance the user experience with fast, low-latency streaming translation and easily expand your reach with straightforward internationalization options. Google Cloud’s renowned translation and speech recognition capabilities are a testament to its high quality, stemming from years of expertise in machine learning. By integrating innovative technologies, the Media Translation API delivers top-tier audio translation, combining the capabilities of both the popular Translation API and the speech-to-text API. You can now translate audio data directly, and the Media Translation API significantly boosts the precision of interpretation by refining the integration of models from audio to text. With its state-of-the-art features and reliable performance, this API is poised to transform how you approach audio translation tasks.
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
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Distributed Cloud
Integrations
ConvNetJS
GPT-4o
Gemini 2.5 Pro
Gemini 2.5 Pro Deep Think
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Distributed Cloud
Pricing Details
$0.068 per minute
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
Founded
1998
Country
United States
Website
cloud.google.com/media-translation
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog