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What is Nemotron 3.5 Transcribe?

NVIDIA Nemotron 3.5 Transcribe is an open-weight model designed specifically for developers interested in building systems for transcription and audio processing. This innovative model converts audio files into text, providing options for both precise verbatim transcripts and modified versions, and includes advanced features such as contextual vocabulary, speaker identification, word-level timestamps, speech translation, language detection, and audio-based question answering. It supports a comprehensive language matrix featuring 40 languages, although the level of task performance can differ across languages. With the ability to handle recordings lasting up to one hour, this model is optimized for offline use on compatible NVIDIA GPU hardware and supported runtimes, making it versatile for various applications. Developers can easily integrate it into multiple settings, including speech interfaces, media processing, meeting analysis, customer service insights, translation applications, and other tools focused on audio comprehension. Additionally, the model's weights and a fine-tuning toolkit are provided under the OpenMDW-1.1 license, with specific deployment hardware and service requirements based on the application type. This adaptability empowers teams to customize the model for an array of audio processing and transcription needs, enhancing efficiency and user experience. Ultimately, the widespread capabilities of Nemotron 3.5 make it a valuable asset for enhancing communication and accessibility in diverse environments.

What is Gglot?

Effortlessly transform audio into written text in multiple languages with Gglot's versatile transcription service, perfect for uses such as interviews, content marketing, video production, and academic studies. Regardless of the audio format you possess, our cutting-edge AI transcription technology will convert it into text with remarkable accuracy. Gglot allows you to extract vital information from audio and video files smoothly and efficiently. By harnessing the power of Artificial Intelligence, Gglot simplifies the process of transcribing the files you upload. It adeptly identifies spoken language, effectively managing obstacles like background noise, different accents, varying speech rates, and fluctuating audio levels. To further enhance your audience's experience, Gglot provides the option to include English captions in your videos. These captions not only convey the spoken content but also emphasize important non-verbal cues that add depth to the viewer's comprehension. Captions play a significant role beyond simply converting audio into text; they improve accessibility and understanding for a wider audience. With Gglot, you can rest assured that your content will be both engaging and clear, catering to the diverse needs of all viewers while making communication more effective.

Media

Media

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
vLLM

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

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 Version

Pricing Information

$9.90 per month
Free Version

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/

Company Facts

Organization Name

Translation Cloud

Date Founded

2011

Company Location

United States

Company Website

gglot.com

Categories and Features

AI Models

Not specified

Open-Weight AI Models

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Transcription

Not specified

Categories and Features

Speech to Text

Not specified

Transcription

Not specified

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