Sample app to display live captioning to a WebRTC video session with the Deepgram API.

🌍 A chat bot for practicing live conversations in a foreign language, made for the Hack Cambridge Atlas Hackathon in only 24 hours.

ai speech recognition

Just upload any audio file and click on the Check button. Application with the help of deepgram api will detect if the uploaded audio contains any vulgur or cursed words.

JOBPkdo is a platform where you can find interns, freelance projects, remote jobs, and much more that comes through Twitter daily. You can share jobs with your friends and save them for later.

Transcript any voice or podcast from youtube using Deepgram api

A simple way to practice your English pronunciation. Made using Next.js

Deepgram Word Solver, is an endless letter re-arrangement game built with Deepgram and React and NextJS. The goal is to form words out of given the letters.

Media Transcript Archive Application with Deepgram and Appwrite

Bekah Hawrot Weigel joins Nick to show how you can transcribe text using Deepgram's Node.js SDK. They go through the demo code all the way to building out an app with Express that allows you to submit a URL for transcription.

Audio to text converter.

A simple audio conferencing application that integrates with Deepgram for real-time transcriptions

Next-JS interface for 🤖 Open-AI based 🕷 spider-man conversation simulator ⚡️

Deepgram - Automated Speech Recognition (ASR) - A simple user interface to test deepgram integration on server side.

Wordleit is a free open source markdown text editor that gives you a seamless experience as both a reader and a writer. Supported with AI Speech Recognition.

This is the UI, built and deployed within the Deepgram Starters.

This is the backend code for a web application that needs a video url and the transcribed text.

WIP exploration using Twilio Media Streams and Generative AI

Real Time AI Voice Assistant using nodejs

Audio transcriber using deepgram. It allows users to record audio, upload it, and retrieve transcriptions for the recordings. It is built using React for the frontend and Node.js/Express for the backend, with MongoDB for storage.