Automatic speech recognition (ASR) has become less of a "nice to have" and more of a requirement as accessibility and a positive user experience have become more core to customer loyalty. But the ways that ASR, especially in API form, can be integrated into an application or multiple applications are endless.
This means that finding an API that checks all the boxes-accuracy, speed, latency for real-time, deployment models for cloud and on-prem, and scalability-and has great documentation and support are key to success.
We're happy to say that Deepgram has been reviewed and recognized as the leader in the G2 Summer Grid® Report for Voice Recognition software by checking all those boxes and then some! Here we compiled some of the reasons that developers said make Deepgram the best automatic speech-to-text API available.
Highly Accurate Speech-to-Text Helps Solve Real-World Problems
The following are just a few of the use cases developers mentioned they were using the Deepgram API for:
Real-time transcription for call analytics: Quick identification of mandatory or banned keywords
Audio file and podcast transcription: Fast turnaround for compliance and service value-add
Building conversational voice bots: Low latency for shorter response times
Real-time live stream transcription and captioning: Broader accessibility for hearing-impaired viewers
Online classroom lecture transcription and meeting summarization: Speaker ID and building action summarization for easy review
Top Reasons Developers Love Deepgram
When reviewing Deepgram, our users were asked what they liked most about the product. These are several things they mentioned that had a positive impact on their experience.
1. Ease of Use
Our easy-to-use API makes generating your first transcript a breeze (get a free API key, copy your sample script of choice and get your first transcript in less than 10 minutes). It also includes all the features necessary for building amazing voice experiences ranging from diarization and multichannel to punctuation, redaction, utterances, and more.
2. Accuracy
The proprietary architecture of Deepgram's out-of-the-box deep learning speech models has enabled customers to achieve 90%+ transcription accuracy. Self-service customers can easily get started with Enhanced and Base models. Otherwise, if your use case requires transcribing unique words, industry jargon, or other specifics, we can train a model to learn your language, accents, or terminology in just a few weeks.
3. Documentation
We are on a mission to help developers implement AI-enabled speech recognition into their products more easily. This starts with user-friendly documentation where users can easily reference how to build with the Deepgram API. Here are a few examples of what developers had to say about it:
4. Speed
Deepgram provides the fastest transcription on the market, with a 120x real-time speed for batch processing (i.e., transcribe one hour of audio in 30 seconds), and has less than a 300 millisecond lag on real-time streaming. Use cases where real-time streaming can be particularly useful include Conversational AI, sales and support agent enablement, and real-time compliance monitoring to name a few.
We would like to thank our amazing developer community. The honest feedback we have received has allowed us to continue to improve our product to better serve their needs. As a result, Deepgram continues to rank as the #1 solution on G2 for the second consecutive quarter. Most notably, in G2 Summer Grid® Report, Deepgram received a 96 satisfaction rating and scored above the average across ease of use (90%), ease of set up (89%), quality of support (92%), and more.
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