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Why Deepgram’s Speech-to-Text API is #1 for Developers on G2

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:

  1. Real-time transcription for call analytics: Quick identification of mandatory or banned keywords
  2. Audio file and podcast transcription: Fast turnaround for compliance and service value-add
  3. Building conversational voice bots: Low latency for shorter response times
  4. Real-time live stream transcription and captioning: Broader accessibility for hearing-impaired viewers
  5. 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.

“Very easy to use speech to text api, setup in minutes and great results.”
“This was one of the easiest APIs that I ever used. There were examples on Deepgram that worked on the first try. I was testing the API within minutes of discovering it. The speech-to-text results were also accurate, comparable, or better than other APIs I was testing. There was a $150 free credit for users which allowed me to test the APIs without commitment.”

“The Speech Recognition API for 99% of Projects.”
“It’s ridiculously fast to get set up and going. As in – you sign up, write 5 lines of code, and you’re done – kind of fast. And it just works! Its accuracy is really good, it’s fast, and it has some fancy extra features to top it all off. And if you have some specialized audio type that most recognition services perform poorly on, they’ve got you covered too. And for the developers out there, the docs are seriously *great*.”

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.

Extremely Accurate Transcription API, and Developer Friendly Python SDK.”
“We have tested a number of transcription APIs, and Deepgram has consistently come out as the most accurate for our use case whilst offering a nice Python interface for batch operations. The API schemas are also excellent.”

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:

“An Automated Speech API with Intuitive Documentation.”
“My favorite part about using Deepgram was the ease of learning. The API documentation is complete and intuitive, and the tutorials in the console left me feeling confident that I could use the API and SDK in either Node or Python projects.”

“API: Good Product, Good Documentation, Great Support.”
“The Deepgram API covers the languages we need (and then some), integrates easily with our audio source, is accurate enough, and delivers results quickly. The documentation made it easy to design our code, and the very helpful support engineers were quick to respond to questions and to help us debug our initial efforts.”

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.

“Great speech-to-text results in seconds.”
“As a software developer, there is plenty to like about Deepgram – complete and easy to follow documentation; easy-to-use API that allows for quick language-independent implementation; great follow-up support; multiple models including one specifically for telephone-based dictation; not only one of the best but also one of the least expensive speech rec services available; a generous free number of credits are provided at sign-up – plenty enough for experimentation and testing of your application.”

“The fastest Speech to Text service I’ve ever used!”
“The low latency of the response with high accuracy from the websocket connection is the most distinguishing feature from other providers. If this feature was not there then it’s yet another Speech to Text service. I really love the community around it and the team which is driving it, kudos to the DevRel team.”

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. 

ASR Comparison Tool

ASR Comparison Tool

Curious how our speech-to-text solution compares to Big Tech? Give our comparison tool a try to see how we stack up on different kinds of audio when compared to Amazon and Google on metrics like speed, accuracy, and more!

Try It Now

Only the Beginning

Deepgram is on a mission to become the speech company and help our customers solve their problems with better speech-to-text. A great example of this is the latest release of the Enhanced Model, our newest and most powerful ASR model to date. Based on our next-generation deep learning speech model and architecture, this new model has significantly higher accuracy and better word recognition (19% more accurate compared to our previous model). It also has increased effective vocabulary and can handle long-tail vocabulary (uncommon words) significantly better. In the last few months, we also added a new suite of languages in an effort to deliver a global language experience for our customers.

If you are thinking of building your next project with Deepgram, you can sign up here or check out our quickstart guides. Or, if want to keep exploring, check out the latest tutorials or projects from the Deepgram developer community for more inspiration. Happy building!

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