Building a Video Transcriber with Node.js and Google AI Speech-To-Text API

Building a Video Transcriber with Node.js and Google AI Speech-To-Text API

1h 9mIntermediate2023-12-15

Authors

Fikayo Adepoju

Fikayo Adepoju

Technical Writer | Software Developer

Course details

Formerly complicated tasks like audio transcription for videos have become much simpler thanks to the rise of APIs like Google's Speech-to-Text. But while this exciting new tool can handle transcription, if you want to transcribe a lot of audio, your code still needs to set up connections and authentication and pipe the information back and forth. In this course, instructor Fikayo Adepoju shows you how to integrate Node.js applications with Google AI Speech-to-Text. Learn how to set up Google AI Speech-to-Text, build the video transcriber interface, develop the back end and connect to the AI, and then bring it all together.

This course is designed for intermediate and advanced developers interested in the future of development with generative AI and the integration of applications with AI models.

Skills covered

Google CloudNode.jsJavaScript FrameworksArtificial Intelligence FoundationsGoogleArtificial Intelligence (AI)Web DevelopmentOpen SourceOne-Off

Concepts

Introduction

  • AI-powered video transcription
  • Who is this course for
  • What you should know

Setting Up Google AI Speech-to-Text

  • Signing up for a Google Cloud account
  • Setting up billing
  • Creating your GCP project
  • Enabling the Speech-to-Text
  • Getting your access credentials

Building the Video Transcriber Interface

  • Cloning the seed project
  • Project code walk-through
  • Adding the video upload functionality
  • Adding the transcribe video function
  • Adding the transcription display function

Building the Backend - Connecting to the AI

  • Building out the Express.js API
  • Configuring Google s Speech library
  • Adding routes
  • Setting up file upload functionality
  • Transcribing with the Google AI Speech-to-Text

Bringing It All Together

  • Connecting the front end to the API
  • Adding a progress indicator
  • Editing transcriptions

Conclusion

  • Next steps
40,000 Toman