Symbl.ai
Symbl.ai
Integrate speech-to-text & context understanding for live captioning, user intents, summaries & more.
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Tool Info
Rating: N/A (0 reviews)
Date Added: November 28, 2022
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Description
Symbl.ai is a solution that integrates real-time speech-to-text and context understanding capabilities. It is powered by advanced deep learning models that enable it to accurately transcribe spoken words into text in real-time.
One of the key features of this tool is its ability to provide live captioning for spoken conversations. This means that users can follow along with what is being said in real-time, even if they are unable to hear or understand the spoken words. This feature is particularly useful for individuals with hearing impairments or for situations where it is difficult to hear the speaker, such as in noisy environments.
In addition to live captioning, Symbl.ai also has the ability to track user intents and generate summaries from unstructured conversation data. This means that it can analyze the context of a conversation and identify the key points being discussed. It can then generate a summary of the conversation that highlights the most important information.
Key Features
- Real-time speech-to-text and context understanding capabilities
- Live captioning for spoken conversations
- Ability to track user intents and generate summaries from unstructured conversation data
Use Cases
- Customer service industry: Live captioning and tracking user intents can help customer service representatives better understand and address customer needs in real-time.
- Education industry: Real-time speech-to-text and context understanding can be used in classrooms to provide live captioning for students who are deaf or hard of hearing.
- Healthcare industry: Live captioning and context understanding can be used in medical settings to improve communication between healthcare providers and patients who may have difficulty communicating verbally.
- Legal industry: Real-time speech-to-text and context understanding can be used in courtrooms to provide live captioning for individuals who are deaf or hard of hearing, as well as to generate summaries of legal proceedings.
- Media industry: Real-time speech-to-text and context understanding can be used in live broadcasts to provide closed captioning for viewers who are deaf or hard of hearing, as well as to generate summaries of news or other media content.
