Summary

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Foundation Year2015
Country🇺🇸 United States
FoundersScott Stephenson
TierFree Trial, Paid
PlatformsAPI, Web Browsers
AI FeaturesGenerative AI, Subtitle Generator, Transcription, Translation
Pricing From$4k Per Year
SupportYes (Email)
Best Used ForTranscription, AI Voice Generator, AI Text to Speech, Speech to Text
Affiliate ProgramYes
White LabelNo
APIYes

Description

Deepgram is an advanced voice AI platform that offers powerful APIs for speech-to-text, text-to-speech, and language understanding. It’s designed to help developers build human-like voice experiences into their apps, making it perfect for industries like healthcare, customer service, and autonomous agents. With incredible speed and accuracy, Deepgram transcribes audio in real-time, processes pre-recorded files in seconds, and delivers advanced audio intelligence for deeper insights. The platform also provides natural-sounding conversations between humans and machines through its Voice Agent API. Plus, it’s 3-5 times cheaper than other options, making it a top choice for startups and enterprises alike. You can try it out for free with $200 credits, which is enough for 750 hours of transcription or 200 hours of text-to-speech audio.

Features

  • Voice Agent API
  • Text-to-Speech API
  • Speech-to-Text API
  • Audio Intelligence API
  • AI Apps
  • AI Voice Generator Tool
  • Audio & Video Transcription Tool

Free Plan & Pricing

Free Tier
Free Trial
Limited Access
Paid Plans
Pay As You Go
Access all endpoints and public models
Up to 100 concurrent requests for Deepgram speech-to-text models and 5 concurrent requests for Deepgram Whisper Cloud
Up to 40 concurrent connections for the WebSocket API and up to 2 concurrent requests (that typically support 480 requests/min, around 120 concurrent conversations) for the batch API for Deepgram Aura text-to-speech. For higher rate limits, fill out this form
Up to 10 concurrent requests for Deepgram Audio Intelligence
Discord and community help
Growth ($4k-$10k Per Year)
Access all endpoints and public models at favorable discounts
Up to 100 concurrent requests for Deepgram speech-to-text models and 5 concurrent requests for Deepgram Whisper Cloud
Up to 80 concurrent connections for the WebSocket API and up to 3 concurrent requests (that typically support 720 requests/min, around 180 concurrent conversations) for the batch API for Deepgram Aura text-to-speech. For higher rate limits, fill out this form
Up to 10 concurrent requests for Deepgram Audio Intelligence
Discord and community help
Enterprise (Custom)
Access all endpoints and public models with our best discounts
Access to custom-trained speech-to-text models
Priority access to new endpoints and models
Highest concurrency support
Self-hosted deployments
Paid Support plans available
Discord and community help
Refund Policy
Deepgram did not provided enough information about their refund policy.

5 Ratings

[4.6/5]

[3.7/5]

5app.ai Rating

[N/A]

AI Review

[N/A]

**Star Rating: 4.5/5** Deepgram is highly praised for its accurate and fast speech-to-text transcription capabilities. Users appreciate its real-time processing, which enhances communication efficiency and productivity. The software is versatile, supporting various industries such as customer support, healthcare, and e-commerce. While some users mention minor issues like difficulties with transcriptions containing accents and occasional delays in customer support, these are generally seen as minor drawbacks. The ease of use, customizable models, and excellent customer support are major strengths. Overall, Deepgram is considered a valuable tool for businesses looking to improve their operations through advanced NLP capabilities.

Last Fetched Date: October 14, 2024, 9:22 am
Our Expert's Opinion

[4/5]

After testing Deepgram, I found it to be impressively fast and accurate for transcribing audio, even with background noise. The API was easy to work with, and it offered a lot of flexibility. Compared to similar apps, Deepgram stands out for its speed and lower cost. However, I noticed that the accuracy could drop with certain accents or more complex conversations, and the text-to-speech feature, while natural-sounding, sometimes felt a bit robotic. Overall, it's a solid tool, but it might need some improvement in handling diverse accents and tones better.

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