Listener - 2026 Pricing, Features, Reviews & Alternatives

Listener is a product that transcribes speech to text in real-time using state-of-the-art automatic speech recognition (ASR) technology. It can recognize and transcribe speech in multiple languages and accents and can be customized to support specific domains and vocabularies. Some of the features of Listener are:

• High accuracy: Listener can provide up to 99% accuracy, depending on the quality of the audio input. It uses advanced machine learning algorithms and natural language processing techniques to accurately recognize and transcribe speech.

• Domain-specific models: Listener can offer a selection of trained models for different scenarios, such as voice control, phone call, and video transcription. These models are optimized for domain-specific quality requirements and can handle various types of speech, such as commands, queries, conversations, etc.

• Speech adaptation: Listener can provide hints to boost the transcription accuracy of rare and domain-specific words or phrases. It can also use classes to automatically convert spoken numbers into addresses, years, currencies, and more.

• Timestamps and speaker diarization: Listener can provide timestamps for the transcribed text, which can help identify when each word was spoken in the audio input. It can also provide speaker diarization, which can help identify who said what in a conversation involving multiple speakers.

• Speech on-device: Listener can run locally on any device, regardless of internet connectivity. This can ensure that the voice data never leaves the device, providing more privacy and security for the users.

• Flexible model deployment: Listener can be deployed wherever it is needed, whether in the cloud with the API or on-premises with Speech-to-Text On-Prem. This can provide more scalability and reliability for the applications that use Listener.