Convert mp3 audio to text with OpenAI Whisper API

Convert mp3 audio to text with OpenAI Whisper API

Table of Contents:

1. Introduction
2. Prerequisites
3. Installing the OpenAI Library
4. Locating and Preparing the Audio File
5. Importing the OpenAI Library and the API Key
6. Specifying the Audio Path
7. Opening the Audio File
8. Transcribing the Audio File
9. Printing the Transcription
10. Additional Resources

How to Use Whisper API from OpenAI to Convert Audio Files into Text with Python

Introduction

The Whisper API from OpenAI allows us to convert audio files into text using Python. In this tutorial, I will guide You step-by-step on how to use this API to transcribe your audio files. By the end of the tutorial, you will be able to convert any audio file into text format using the OpenAI library.

Prerequisites

Before we begin, there are a few prerequisites you need to have in place. Firstly, you must have Python installed on your system. If you don't have Python installed, you can find instructions on how to install it by clicking on the provided link in the video description. Additionally, you will need an OpenAI or ChatGPT account to access the Whisper API.

Installing the OpenAI Library

To start using the Whisper API, we first need to install the OpenAI library. Open your command prompt or terminal and enter the command 'pip install openai'. This will install the necessary library for us to utilize the API.

Locating and Preparing the Audio File

Next, locate the audio file that you want to convert to text. Copy and paste the audio file into the same folder where you have your Python file. Make sure that the audio file is in a supported format such as MP3.

Importing the OpenAI Library and the API Key

In your Python code, import the OpenAI library. This can be done by using the command 'import openai'. Additionally, you will need to obtain an API key from OpenAI. To do this, visit the OpenAI Website, log in to your account, and navigate to your profile. From there, go to the API section and Create a new secret key. Copy the key and paste it into your code.

Specifying the Audio Path

In your code, specify the path of the audio file by assigning it to a variable. Since the audio file is in the same folder, you can simply provide the file name with the appropriate extension (e.g., "audio.mp3").

Opening the Audio File

Use the 'open' function to open the audio file in Read mode. This will allow us to read the contents of the file without making any changes or modifications. Assign the opened file to a variable for further processing.

Transcribing the Audio File

To transcribe the audio file, use the 'transcribe' method from the OpenAI library. Pass the OpenAI model name ('whisper-1') and the audio file name as parameters. The API will send the audio file to the server, where it will be converted into a text file. Store the response in a variable for later use.

Printing the Transcription

Finally, print the transcription by accessing the text response from the API. This will display the converted text in the console.

Additional Resources

For more information on the Whisper API and its functionalities, refer to the API reference documentation provided by OpenAI. It contains detailed explanations and examples on how to utilize the transcription and translation capabilities of the API.