AI Meeting Transcript Summarizer with NodeJS & APIs
Tutorials

AI Meeting Transcript Summarizer with NodeJS & APIs

Learn to build an AI-powered meeting transcript summarizer using NodeJS and ApyHub API. Automate summaries, streamline workflows, and boost productivity in your team.
AI Meeting Transcript Summarizer with NodeJS & APIs
SO
Sohail Pathan
Last updated on April 24, 2024

AI Meeting Transcript Summarizer with NodeJS & ApyHub API – Step-by-Step Guide

Introduction

Virtual Meetings have become an essential part of corporate collaboration, serving as the de facto way that ideas are exchanged, decisions are made, and strategies are devised. However, the true value of meetings is often diluted by their length and the complexity of the discussions. This is why note-taking and effective summaries and action points are so important. Converting long, and often pointless discussions into short (actionable) summaries, meeting attendees can quickly catch up on meetings they missed, review decisions that were made, and understand discussions without having to sift through hours and hours of recordings.
We thought it would be cool to create our summarizer. If you don't have one already keep reading. This technical tutorial will guide you through creating a simple web application that summarizes daily meeting Transcripts using ApyHub’s AI Summarize Document API using NodeJS.
AI Summarize Benefits

Pre-requisites:

  1. Access to Google Meet and permission to access meeting transcripts.
  2. A preferred programming language environment (e.g., Python).
  3. ApyHub Account.
  4. GitHub CLI is installed on your computer.

Step 1: Clone the GitHub repository

Open your terminal, and run this command:
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git clone https://github.com/iamspathan/AI-Transcript-Summarizer.git
This command will clone the project in your local environment. Once the project is cloned, you can open the repository in the code editor.

Step 2. Install Required Packages:

Here Node Package Manager (npm), we will install all the dependencies that our application needs to summarize the meeting transcribe.
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npm install

Step 3: Add your API Key to the index.js file.

Here, we will add our Secret API key from ApyHub. To generate an API key, you can visit the documentation page of AI Summarize Document API. Your secret looks like this ➡️ apy-token: APY******************************************
Copy this token and paste it in as shown in below code comment below.
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const express = require('express');
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const fileUpload = require('express-fileupload');
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const cors = require('cors');
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const axios = require('axios');
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const FormData = require('form-data');
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const open = require('open');
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const app = express();
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const port = 3000;
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app.use(cors());
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app.use(fileUpload());
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// Serve static files from the 'public' directory
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app.use(express.static('public'));
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app.post('/summarize', (req, res) => {
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    console.log("summarixe called", req.files.file);
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    if (!req.files || Object.keys(req.files).length === 0) {
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        return res.status(400).send('No files were uploaded.');
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    }
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    // Assuming the file is attached to the request under the key 'file'
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    const file = req.files.file;
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    // Prepare the file to be sent using form-data
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    const formData = new FormData();
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    formData.append('file', file.data, file.name);
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    // Set up the request headers, including the dynamic headers from form-data and the secret-apy token.
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    const requestHeaders = {
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        ...formData.getHeaders(),
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        'apy-token': 'ADD YOUR OWN APY-TOKEN HERE'
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    };
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    // Call the AI Summarize API
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    axios.post('https://api.apyhub.com/ai/summarize-documents/file', formData, { headers: requestHeaders })
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        .then(apiResponse => {
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            // Assuming the API returns JSON with a summary field
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            console.log(apiResponse.data.data.summary);
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            res.send({ summary: apiResponse.data.data.summary });
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        })
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        .catch(error => {
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            console.error('Error calling the AI Summarize API:', error);
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            res.status(500).send('Failed to summarize the document.');
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        });
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});
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app.listen(port, () => {
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    console.log(`Server running at http://localhost:${port}`);
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    // Open the index.html file in the default browser
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    open(`http://localhost:${port}`);
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});
Once you’ve added the API key. Save the changes using the Ctrl+S Key.

Step 4: Running Your Application

Once you’ve added the API key. Save the changes using Ctrl+S in your terminal, and run this command.:
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node index.js
That’s it :) As you can see, Now you can generate a meeting transcript anytime you want :)
finaloutput
Happy with the API? We have more….
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Are you a NodeJS developer? Have a look at our blog series with tutorials.
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FAQs

1. What is a meeting transcript summarizer? A tool that converts long meeting transcripts into concise summaries, highlighting key points and decisions.
2. How does ApyHub’s AI Summarize API work? It processes uploaded documents or transcripts and returns a summarized version using AI-powered algorithms.
3. Which programming language is used in this tutorial? NodeJS is used to build a web application that integrates with the ApyHub AI Summarize API.
4. Can this summarizer handle Google Meet transcripts? Yes. As long as you have access to the meeting transcripts, the summarizer can process and summarize them automatically.
5. What are the prerequisites for this tutorial? You need NodeJS, GitHub CLI, an ApyHub account with API access, and permission to access meeting transcripts.
6. How do I run the summarizer locally? Clone the GitHub repo, install dependencies with npm install, add your API key, then start the server with node index.js.
7. Can I integrate this summarizer into my existing workflow? Yes. The server can process uploaded files via an API endpoint, making it easy to integrate with other tools and applications.