Overview
What is Deepgram?
Deepgram is a speech-to-text (STT) API provided by Deepgram Inc. According to the vendor, this solution accurately converts spoken language into written text with high accuracy, speed, and cost-effectiveness. Deepgram caters to companies of various sizes, offering its speech recognition technology to...
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Product Demos
Using Deepgram for speech-to-text with Bekah H. Weigel
Dev-Deepgram-Hackathon Demo
Gaming search demo with Deepgram
Product Demo: Deepgram ASR - Advanced Features
Product Demo: Deepgram ASR - Intro to Batch and Realtime
Product Details
- About
- Tech Details
What is Deepgram?
Deepgram is a speech-to-text (STT) API provided by Deepgram Inc. According to the vendor, this solution accurately converts spoken language into written text with high accuracy, speed, and cost-effectiveness. Deepgram caters to companies of various sizes, offering its speech recognition technology to a wide range of industries and professions. These include contact centers, speech analytics providers, conversational AI developers, media transcription services, podcasters, call centers, media and entertainment companies, customer service teams, sales and marketing professionals, and podcast creators.
Key Features
Speech-to-Text: According to the vendor, Deepgram's speech-to-text API accurately transcribes spoken language into written text, supporting over 30 languages and dialects.
Speech Understanding: The vendor claims that Deepgram's speech understanding capabilities leverage AI language models to extract key topics and insights from spoken content, providing concise summaries of lengthy files.
Speaker Diarization: Deepgram's speaker diarization feature enables the detection and labeling of different speakers in multichannel audio, allowing for the analysis of conversations involving multiple participants.
Language Detection: According to the vendor, Deepgram's language detection feature accurately identifies and transcribes audio in different languages, supporting multilingual applications and enhancing customer interactions.
Sentiment Analysis (Coming Soon): Deepgram's upcoming sentiment analysis feature is said to analyze audio content to determine the sentiment expressed, providing insights into customer opinions and feedback.
Topic Detection: Deepgram's topic detection feature automatically identifies and labels key topics discussed in audio content, facilitating trend analysis and actionable insights, according to the vendor.
Podcast Transcription: Deepgram offers fast and accurate transcription of audio files, supporting various programming languages and providing features like diarization, word timings, and automatic formatting, as claimed by the vendor.
Captioning and Subtitles: According to the vendor, Deepgram's transcripts are accurate and support real-time and batch processing, making them suitable for creating accurate and accessible captions and subtitles for media content.
Pure Transcription: Deepgram specializes in handling challenging audio scenarios such as background noise, multiple speakers, and crosstalk, providing accurate and readable transcripts, according to the vendor.
Custom Model Training: Deepgram's custom model training feature allows industries with domain-specific jargon or accents to improve accuracy and performance in speech recognition tasks, as stated by the vendor.
Deepgram Video
Deepgram Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
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Community Insights
- Business Problems Solved
Deepgram has become a popular choice for businesses that rely heavily on audio files, allowing them to quickly and accurately transcribe podcasts, meetings, and customer service calls. This service has revolutionized the way companies communicate by providing them with real-time speech-to-text capabilities at reasonably priced options. Additionally, Deepgram's speech processing and natural language processing (NLP) abilities are being used by educational applications to improve the learning experience for students.
Deepgram's ASR technology has proven valuable in healthcare for symptom flagging and triaging while detecting different accents, improving the overall accuracy of scoring modules. In addition, the software is used for fraud detection services in the insurance industry, utilizing intelligent and compliant AI-driven digital speech DNA solutions over blockchain. Another benefit of Deepgram is its ability to extract important information from filler words in recorded Zoom meetings and recognize speech transcripts from various audio files. These features have allowed businesses to rely on fully automatic transcription even in situations with multiple speakers or noisy backgrounds.
Overall, Deepgram's fast and accurate transcription service has helped companies to supercharge their transcription overnight while keeping their costs down compared to other vendors used in the past. Companies also benefit from Deepgram's custom model training which tunes specifically for a customer's audio for key customers with ongoing projects. With customizable on-prem solutions available for customers with needs of keeping data within their domain, Deepgram continues to solve business problems across many industries such as EdTech, healthcare, and insurance while improving communication and productivity through effective speech recognition technology.