Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
NVIDIA Nemotron 3.5 Transcribe serves as an open-weight model tailored for developers aiming to create transcription and audio-processing systems. This model transforms audio recordings into text, offering options for both verbatim and edited transcripts, along with features like contextual vocabulary, speaker identification, word-level timestamps, speech translation, language detection, and audio question answering. It boasts a language matrix that encompasses 40 different languages, though the extent of task coverage may vary from one language to another. Capable of processing recordings of up to one hour, the model is optimized for offline inference on compatible NVIDIA GPU hardware and supported runtimes. Developers can seamlessly integrate it into a variety of applications, including speech interfaces, media and meeting processing, customer service analytics, translation software, and other audio comprehension tools. Furthermore, the model's weights, alongside a fine-tuning toolkit, are made available under the OpenMDW-1.1 license, with specific hardware and serving requirements contingent upon the nature of the deployment. This flexibility allows teams to adapt the model for diverse use cases in the field of audio processing and transcription.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Hugging Face Transformers
No
NVIDIA NIM
No
vLLM
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
The model weights and fine-tuning toolkit are available under the OpenMDW-1.1 license. Hardware and inference-serving costs depend on the selected deployment.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CloneDub
Website
www.clonedub.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/
Product Features
Product Features
Speech Recognition
Audio Capture
No
Automatic Form Fill
No
Automatic Transcription
No
Call Analysis
No
Concatenated Speech
No
Continuous Speech
No
Customizable Macros
No
Multi-Languages
No
Specialty Vocabularies
No
Speech-to-Text Analysis
No
Variable Frequency
No
Voice Recognition
No
Transcription
AI / Machine Learning
No
Annotations
No
Audio/Video File Upload
No
Automatic Transcription
No
Collaboration Tools
No
File Sharing
No
For Manual Transcription
No
Full Text Search
No
Multi-Language Support
No
Natural Language Processing (NLP)
No
Playback Controls
No
Speech Recognition
No
Subtitles
No
Text Editor
No
Timecoding
No