Introducing Deepgram Starter Apps
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Deepgram aims to make world-class language AI available to any developer through just an API call. With today’s launch of Deepgram Starter Apps, it’s even easier to start building applications which take real-time and prerecorded audio data and transform them into transcripts enriched with natural language understanding metadata.
Put simply, we help developers build quickly because we’ve already taken care of integrating Deepgram into Starter Apps. Whether you've been coding for decades or just passed CS50, Deepgram's Starter apps provide all users with a seamless and efficient onboarding experience.
JavaScript Starter
The JavaScript Starter is the first arrival from the collection and provides developers with a pre-built Deepgram integration on Node.js, with a React frontend, to quickly get started with the Deepgram platform. With the JavaScript Starter, all developers can rapidly explore what Deepgram's platform can do.
Check out our JavaScript Starter Apps on Github.
Python Starter
The Python Starter is our follow up to the collection and provides developers with a pre-built Flask integration with Deepgram. Presently, there is a static frontend to interact with the Flask server.
Check out our Python Starter Apps on Github.
New transcription models included
Deepgram introduces two new models this week. These are available to try out immediately in our new Starter applications.
Deepgram Nova
On April 13th, 2023, we announced Deepgram Nova, a cutting-edge Automatic Speech Recognition (ASR) system. Deepgram Nova achieves unprecedented performance, beating competitors in speed, accuracy, and efficiency.
Whisper Cloud
Alongside Deepgram Nova’s release, we announced Deepgram Whisper Cloud. Following last month's release of OpenAI's Whisper API, we noticed its popularity, despite its limitations. We've developed our own fully managed Whisper API to address those limitations.
Read more about our Deepgram Nova and Deepgram Whisper Cloud release here.
Getting started
All our starter applications are well documented, with steps to get started throughout the included README files. But essentially our starters are keyed for simplicity. For each, you clone the repository, install with the language specific package manager, edit the config file, and run the application.
Who are these for?
The Deepgram starter application collection is meant for anyone looking for working code examples on integrating with Deepgram or for anyone looking for something to base a new application on. Each starter comes equipped with an interface and an integration.
Starter Roadmap
These are early days in the collection, but we have a complete roadmap for delivering your language to our collection. Need help to add your framework or language to our roadmap? Please reach out to us on the Deepgram community.
Further reading
If you have any feedback about this post, or anything else around Deepgram, we'd love to hear from you. Please let us know in our GitHub discussions .
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