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What is Speech Recogniser?

This revolutionary application removes the necessity for typing entirely, enabling you to communicate by simply speaking, with your words being immediately converted into text. With this cutting-edge speech-to-text tool, you can elevate your iPhone usage by converting your spoken words into over 40 distinct languages. Moreover, you have the option to listen to your translations being read aloud, share your generated text with other apps, and even post updates on Twitter. Leveraging state-of-the-art advancements in both speech recognition and machine translation, the app functions optimally when connected to the Internet. By streamlining your communication, Speech Recogniser is bound to enhance your everyday activities, so take the opportunity to download it and claim your copy now! The app accommodates a broad spectrum of languages, including, but not limited to, English (Australia), English (UK), English (US), Español (España), Español (México), Bahasa Indonesia, Bahasa Melayu, čeština, Dansk, Deutsch, français (Canada), français (France), italiano, Magyar, Nederlands, Norsk, Polski, and Português, making it an invaluable resource for users who speak multiple languages. Additionally, its user-friendly interface ensures that anyone can quickly learn how to take full advantage of its features.

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.

Media

Media

Integrations Supported

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
vLLM

API Availability

API Availability

Has API

Pricing Information

$10.66 one-time payment

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

Supported Platforms

iPhone
iPad

Supported Platforms

Windows
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Anfasoft

Date Founded

2019

Company Location

Saudi Arabia

Company Website

apps.apple.com/sa/app/speech-recogniser/id543125434

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Categories and Features

Speech to Text

Not specified

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

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