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Deepgram

Deepgram

Deepgram

An AI-based speech-to-text and understanding platform with unmatched accuracy and speed.

Pricing

FreemiumPaid plans start from $4000/yr

New Features

Open Source

Tool Info

Rating: N/A (0 reviews)

Date Added: October 26, 2023

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Description

Deepgram is an AI-based platform that offers advanced speech-to-text and speech understanding solutions. Its core products include Language AI Models, Speech-to-Text, and Speech Understanding. Deepgram's Nova model offers unmatched performance with 22% lower word error rate, 23x faster inference time, and 3-7x lower price compared to competitors. The platform provides additional resources such as case studies, white papers, reports, and a community forum for developers.

Key Features

  • The Nova model by Deepgram boasts a 22% lower word error rate (WER), 23x faster inference time, and 3-7x lower price compared to other models in the market.
  • Whisper APIs are available and offer faster, more reliable, and cheaper options than OpenAI's. They also come with built-in diarization, word-level timestamps, and an 80x higher file size limit.
  • Custom trained speech models are available and can significantly boost accuracy, especially on unique customer jargon.

Use Cases

  • Speech Analytics: Deepgram's AI-based speech-to-text and speech understanding solutions can be used to analyze and understand speech data for valuable insights. This can be useful for businesses in various industries, such as market research, healthcare, and finance, to gain insights into customer behavior, sentiment analysis, and more.
  • Media Transcription: The platform's speech-to-text feature can quickly and accurately transcribe audio and video content, making it useful for media companies, podcasters, and content creators who need to transcribe interviews, speeches, and other audio content.
  • Conversational AI: Deepgram's custom models can be used to enhance AI chatbots and virtual assistants with speech recognition, making it easier for users to interact with these tools using natural language.
  • Contact Centers: Accurate transcription and speech analytics can help improve customer service in contact centers. Deepgram's solutions can be used to transcribe customer calls and analyze them for valuable insights, such as identifying common issues and improving agent performance.
  • Researchers: Deepgram's AI-powered language models and custom models can be useful for researchers in various fields, such as linguistics, psychology, and neuroscience, who need to analyze speech data for their research. The platform's resources, such as case studies and white papers, can also be helpful for researchers looking to learn more about speech recognition technology.
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