Automatically transcribe Speech to Text in Arabic dialects. NeuralSpace Speech to Text (STT), or Automatic Speech Recognition (ASR), converts audio into text automatically, and on any scale.

The NeuralSpace Speech-to-Text transcription models are the most accurate on the market for Arabic dialects. NeuralSpace's AI models are trained on a wide range of Arabic datasets which enable the service to support over 10 Arabic dialects including: Saudi, Gulf, Jordanian, Egyptian, Moroccan, Lebanese, Omani, Qatari, Tunisian, Kuwaiti, Iraqi.

Check out the accuracy benchmarking we recently did against other providers, please see this report:

https://www.neuralspace.ai/arabic-speech-to-text-comparing-results-of-top-stt-providers

Capabilities:

Deep learning-based Automatic Speech Recognition (STT, Speech-To-Text)
Speaker identification
Background noise cancelation
Able to understand several languages in one file (code-mixed transcription)
Batch file or live transcription
Full speech support with on-demand customisations and on-premise deployment
Easy integration with other systems

About NeuralSpace:

NeuralSpace is a Natural Language Processing company. Our mission is to break down the language barrier encountered worldwide by people whose first language is not English by enabling access to cutting-edge language AI for locally spoken languages.

Book a demo or contact: sales@neuralspace.ai

Docs pages: https://docs.neuralspace.ai/speech-to-text/overview

Arabic Speech to Text (STT)NeuralSpace

Arabic Speech to Text (STT)

NeuralSpace

Arabic Speech to Text (STT)

NeuralSpace

Arabic Speech to Text (STT)
NeuralSpace