Nemotron 3.5 TranscribeNVIDIA
|
||||||
Related Products
|
||||||
About
Ecango is an AI-powered audio and video transcription tool that converts spoken content into accurate, searchable text in seconds. Users can upload or drag and drop audio or video files, let Ecango generate the transcript, then edit it directly in the browser and export it in popular formats including DOCX, ODT, PDF, SRT, and TXT. It supports transcription, subtitles, and translation across more than 90 languages, dialects, and accents, using advanced speech recognition to deliver up to 99.8% accuracy. Speaker identification and diarization detect different people speaking within the same recording and organize their dialogue into an easy-to-read transcript. Ecango supports popular audio and video formats and automatically handles video files without requiring users to separate the audio first. Its AI can also filter background noise to improve transcription and translation results when recordings are less than ideal.
|
About
NVIDIA Nemotron 3.5 Transcribe is an open-weight speech and audio model for developers building transcription and audio-processing systems. It converts recordings into text and supports verbatim or edited transcription, contextual vocabulary, speaker attribution, word-level timestamps, speech translation, language identification, and audio question answering. Its language matrix covers 40 languages, with task coverage varying by language. The model can process recordings up to one hour and is designed for offline inference using compatible NVIDIA GPU hardware and supported runtimes. Teams can integrate it into speech interfaces, meeting and media processing, customer-service analytics, translation tools, and other audio-understanding applications. Model weights and a fine-tuning toolkit are released under the OpenMDW-1.1 license; hardware and serving requirements depend on deployment.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Professionals, researchers, creators, and businesses that need to transcribe and translate audio or video into searchable, exportable text
|
Audience
AI developers, machine-learning engineers, and research teams building speech recognition, transcription, translation, and audio-understanding applications.
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$99 per month
Free Version
Supported
Free Trial
Not Supported
|
PricingThe 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 Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationEcango
Australia
ecango.com
|
Company InformationNVIDIA
Founded: 1993
United States
research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Amazon Web Services (AWS)
Supported
DigitalOcean
Supported
Google
Supported
Hugging Face Transformers
Not Supported
NVIDIA NIM
Not Supported
OpenAI
Supported
vLLM
Not Supported
|
Integrations
Amazon Web Services (AWS)
Not Supported
DigitalOcean
Not Supported
Google
Not Supported
Hugging Face Transformers
Supported
NVIDIA NIM
Supported
OpenAI
Not Supported
vLLM
Supported
|
|||||
|
|
|