Transcribe Audio to Text for FREE | Whisper AI Step-by-Step Tutorial

Jennifer Marie
5 Nov 202308:29

TLDRIn this tutorial, Jennifer Marie introduces Whisper AI, a machine learning model by Open AI, for transcribing audio and video files into text for free and without limits. The process involves using Google Colaboratory within Google Drive to run code in the browser, avoiding the need for powerful computers. Whisper supports 99 languages and the tutorial demonstrates how to install, use, and download transcriptions as .txt and .srt files, showcasing its efficiency with a two-minute audio and a 12-minute video file. The method is accessible and time-saving, perfect for freelancers and work-from-home individuals.

Takeaways

  • πŸ˜€ Whisper AI is a free tool for transcribing audio and video files to text.
  • πŸ” It is a machine learning model developed by Open AI, the creators of ChatGPT.
  • 🌐 Whisper supports 99 languages for transcription.
  • πŸ’» The tutorial explains how to use Google Colaboratory to run Whisper without installing it on your computer.
  • πŸ“š Google Drive is required to access Google Colaboratory, which is free and accessible with a Gmail account.
  • πŸ”— The process involves installing Whisper and FFmpeg within Google Colab to handle audio and video files.
  • πŸ“ Users are guided to upload their files directly into Google Colab for transcription.
  • ⏱️ The transcription process is demonstrated with a two-minute audio file and a 12-minute video file.
  • πŸ“ The transcription includes punctuation, capitalization, and timestamps.
  • πŸ“‘ The output files are available in .txt and .srt formats for easy download and use.
  • πŸ”„ After the session, the files are erased from Google Colab, requiring a repeat of the installation process for future transcriptions.

Q & A

  • What is the purpose of Jennifer Marie's channel?

    -Jennifer Marie's channel is focused on teaching different ways to make money online and how to become a work-from-home freelancer.

  • What is the main topic of today's tutorial in Jennifer Marie's video?

    -The tutorial is about converting audio files or video files to text completely for free using a machine learning model called Whisper.

  • Who created Whisper, the machine learning model used for speech recognition and transcription?

    -Whisper was created by Open AI, the same organization behind ChatGPT.

  • How many languages does Whisper support for transcription?

    -Whisper supports transcription in 99 different languages.

  • What platform is used to run the transcription process without installing software on a local computer?

    -Google Colaboratory within a Google Drive account is used to run the transcription process directly in the browser.

  • How can one access Google Drive?

    -Google Drive can be accessed with a Gmail account, which is also free.

  • What is the first step to install Google Colaboratory in Google Drive?

    -The first step is to click on 'New', then 'More', and 'Connect More Apps' to search for and install Colaboratory.

  • What hardware accelerator is recommended to use in Google Colab for transcription tasks?

    -The T4 GPU is recommended as the hardware accelerator for transcription tasks in Google Colab.

  • How long did it take to install Whisper and FFmpeg in the tutorial?

    -It took approximately three minutes to install Whisper and FFmpeg in the tutorial.

  • What are the file formats provided for the transcribed text?

    -The transcribed text is provided in .txt format for a regular text file and .srt format for subtitle files.

  • How long did it take to transcribe a 12-minute video file using Whisper AI in the tutorial?

    -It took only two minutes to transcribe a 12-minute video file using Whisper AI.

  • What is the process like after the transcription session is finished in Google Colab?

    -After the transcription session, the files will be deleted when the runtime is terminated, so it's important to download them before closing the session.

  • Why is it necessary to repeat the installation process each time when returning to Google Drive for another transcription task?

    -The installation process needs to be repeated each time because the runtime files, including the installed Whisper AI, are erased when the session ends.

Outlines

00:00

🌐 Introduction to Free Audio/Video to Text Transcription with Whisper

Jennifer Marie introduces her channel focused on online income and freelancing. She discusses the Whisper machine learning model by Open AI, which is used for speech recognition and transcription in 99 languages without any cost or installation on the user's computer. The tutorial will demonstrate how to use Google Colaboratory within Google Drive to transcribe audio and video files to text using Whisper and FFmpeg, emphasizing the ease of use even for those without powerful computers.

05:01

πŸ” Step-by-Step Guide on Using Google Colaboratory for Transcription

The video script provides a detailed guide on how to transcribe audio and video files using Google Colaboratory. It explains the process of accessing Google Drive, installing Colaboratory, and setting up the runtime environment with a T4 GPU. The tutorial continues with instructions on installing Whisper AI and FFmpeg, uploading files, and executing code to transcribe the files. It demonstrates the transcription of both a two-minute audio file and a 12-minute video file, highlighting the speed and accuracy of the transcription process. The script also covers how to download the transcribed text as .txt and .srt files and mentions the need to repeat the installation process when returning to Google Drive after closing the session.

Mindmap

Keywords

πŸ’‘Transcription

Transcription refers to the process of converting spoken language into written form. In the context of the video, it is the main technique being taught, showing viewers how to transcribe audio to text using Whisper AI. The importance is highlighted by the tutorial's focus on using this method for work-from-home opportunities and online content creation.

πŸ’‘Whisper AI

Whisper AI is a machine learning model developed by Open AI for speech recognition and transcription. It is the core technology used in the video to demonstrate how audio files can be transcribed into text. The video emphasizes its capability to support 99 languages, making it a versatile tool for a wide range of transcription needs.

πŸ’‘Open AI

Open AI is the organization responsible for creating Whisper AI and also known for developing ChatGPT. The mention of Open AI establishes the credibility and technological prowess behind the transcription tool being discussed. The video script uses Open AI as an example of an innovative entity in the field of AI.

πŸ’‘Google Colaboratory

Google Colaboratory, often abbreviated as 'Colab,' is a cloud-based platform that allows users to write and run code in their browser. In the video, it is used as a means to run the Whisper AI model without the need to install it on the user's computer. It is an essential part of the tutorial, providing a convenient and accessible way to perform transcription tasks.

πŸ’‘FFmpeg

FFmpeg is a free and open-source software project that can handle multimedia data. In the context of the video, it is installed alongside Whisper AI in Google Colab to facilitate the processing of both audio and video files for transcription. The mention of FFmpeg underscores the comprehensive nature of the transcription process taught in the tutorial.

πŸ’‘Language Support

The video emphasizes that Whisper AI supports 99 languages, which is a significant feature for users looking to transcribe content in various languages. This broad language support is a key selling point for the transcription method being presented, as it caters to a diverse audience and a wide array of transcription needs.

πŸ’‘Hardware Accelerator

A hardware accelerator, specifically a T4 GPU as mentioned in the video, is a device that's used to increase the computational speed of specific functions, in this case, improving the performance of transcription tasks. The video instructs viewers to change the hardware accelerator in Google Colab to a T4 GPU for more efficient processing.

πŸ’‘.srt File

An .srt file is a type of subtitle file format used to display timed subtitles on video content. In the video, the transcription process results in the creation of a .srt file, which can be uploaded to platforms like YouTube. This demonstrates the practical application of transcription for enhancing video accessibility.

πŸ’‘.txt File

A .txt file is a plain text file format used for storing written content in a simple, readable form. In the context of the video, the transcription process generates a .txt file containing the transcribed text from audio or video files. This file format is highlighted as it allows for easy reading and further editing of the transcribed content.

πŸ’‘Time Stamps

Time stamps are markers that denote specific points in time, often used in transcription to indicate when certain words or phrases were spoken. The video mentions that Whisper AI can transcribe files with time stamps, which is particularly useful for creating subtitles or for locating specific parts of a transcript.

πŸ’‘Machine Learning Model

A machine learning model like Whisper AI is a software application that uses machine learning algorithms to learn from data and make predictions or perform tasks, such as transcription. The video showcases how such models can be applied to convert speech to text accurately, which is a significant advancement in the field of AI.

Highlights

Jennifer Marie's channel focuses on teaching online money-making and work-from-home freelancing.

Transcription services are popular on Jennifer Marie's channel.

Tutorial on converting audio or video files to text for free using Whisper AI.

Whisper is a machine learning model for speech recognition developed by Open AI.

Open AI is also known for creating ChatGPT.

Whisper supports 99 languages for transcription.

Google Colaboratory is used for running code in the browser without installation.

Instructions on installing Colaboratory from the Google Drive marketplace.

Demonstration of transcribing an audio file using Google Colaboratory.

Changing the runtime type to T4 GPU for better performance.

Installation of Whisper AI and FFmpeg within Google Colab.

Uploading audio or video files for transcription.

Instructions on extracting text from files using specific code.

Automatic language detection and transcription with punctuation and capitalization.

Downloading transcriptions as .txt or .srt files.

Efficiency of transcribing a 12-minute video file in just two minutes.

Repeating the installation process for each new transcription session.

Invitation to subscribe for more tutorials and to ask questions in the comments.

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