deepgram

From the YC post:

DeepGram is a company launching out of our Winter 2016 class that uses deep learning to index audio and make it searchable for businesses. For example, a company can use DeepGram to analyze their phone support audio dataset and search for moments where their competitors' names are mentioned.

This project provides a simple NodeJS wrapper for the Deepgram API, it's built on top of frisbee.

This is a very early version, I hope to implement more functions & enhance the existing ones in the following weeks, PRs are welcome :smile:.

Usage

There's a NPM package available:

npm install --save deepgram

Indexing an audio file is as easy as:

deepgram.indexContent( 'http://website.com/audio.mp3' ).then( data => {
  // you'll get the content ID here (inside data)
})

Examples available here.

Development

The wrapper uses Babel. You may test the source using mocha:

npm test

The above will compile the JS & run mocha with the options in the file.

API Documentation

I found the API documentation here.

When you signup on the website you'll see some curl samples as well.

TODO

• It could be interesting to use this module directly from the browser.

License

MIT