Usare l’AI per prendere appunti da qualsiasi video (TUTORIAL)

Datapizza

9 Feb 202404:51

Summary

TLDRThe video script introduces a free and secure method for transcribing audio and video files using artificial intelligence, without relying on third-party tools or subscriptions. The process is facilitated by a tool developed internally by the creators, which utilizes Google Colab, a free virtual machine provided by Google, and Whisper, an open-source transcription package from GitHub. The user can upload their audio file, select the language for transcription, and the tool will quickly convert the spoken word into text. Additionally, the script demonstrates how to download and transcribe a YouTube video. The method is praised for its efficiency, privacy, and cost-saving benefits, as it does not require payment or sharing personal data with third-party applications. The video concludes with an encouragement for viewers to subscribe for more useful tools and tutorials.

Takeaways

🆓 Free Tool: The video introduces a free tool developed internally by the speaker's team for transcribing audio and video without the need for third-party services or subscriptions.
💬 AI Transcription: The tool uses artificial intelligence to transcribe spoken language into text, which can be useful for various applications such as meeting notes or voice memos.
🔍 Privacy Concerns: The speaker addresses concerns about using paid transcription services that might require sharing personal data with less trustworthy or newly established applications.
🌐 Google Colab: The transcription process is demonstrated using Google Colab, a free virtual machine service provided by Google.
📂 File Upload: Users can upload the audio or video file they wish to transcribe directly into the Google Colab environment.
📦 Whisper Package: The video shows how to install the Whisper package from GitHub, which is used for the transcription process.
🔊 Audio Format: Whisper supports various audio formats, making it versatile for different types of recordings.
⏱️ Fast Transcription: The tool is capable of transcribing short audio quickly, and longer recordings can be divided into parts for transcription.
📚 Text Output: The transcription results in a text file that users can access and use for further processing.
📹 YouTube Video Download: The script also covers how to download and transcribe videos from YouTube using the tool.
📈 Further Analysis: The transcribed text can be used for further analysis or to ask specific questions using other AI tools like GPT.
💰 Cost Saving: The method allows users to save money by not using paid services and keeps personal data secure by not sharing it with third-party apps.
⚠️ Data Sensitivity: The video notes that while data is uploaded to Google's instance, it is presumably not used by Google once the instance is terminated, and there are policies in place for sensitive data.

Q & A

What is the main purpose of the video?
-The main purpose of the video is to demonstrate how to transcribe audio and video files for free using artificial intelligence, specifically a tool called Whisper, without using third-party tools, subscriptions, or giving away personal data.
How does the Whisper tool work?
-Whisper works by installing the necessary package from GitHub onto a virtual machine provided by Google Colab. It then transcribes the audio or video files in the selected language, supporting various file formats.
What are the advantages of using Whisper for transcription?
-The advantages include free usage, no need for subscriptions, maintaining privacy by not sharing data with third-party apps, and the ability to transcribe files up to 30-40 minutes long.
How can one transcribe a YouTube video using Whisper?
-First, obtain the URL of the YouTube video. Then, use the Whisper tool within Google Colab to install a library for downloading YouTube videos and use the URL to download the video. After that, Whisper can transcribe the downloaded video.
What is the process for installing Whisper on Google Colab?
-You start by opening the first cell in Google Colab and executing the code provided, which automatically installs the Whisper package from GitHub onto the virtual machine instance.
Can Whisper transcribe files in different languages?
-Yes, Whisper can transcribe files in various languages, as the user can select the desired language for transcription during the process.
What is the file format that the video script mentions for the audio file?
-The file format mentioned in the video script for the audio file is .ogg.
How long does it take for Whisper to transcribe an audio file?
-For a very short audio file, Whisper can complete the transcription in a very short amount of time. For longer recordings up to 30-40 minutes, it is suggested to split the recording into parts and transcribe each part separately.
What can one do with the transcribed text from a video?
-The transcribed text can be used for various purposes, such as studying the content of the video, asking specific questions using AI like GPT, or further processing and analysis.
Is there a risk of Google using the data uploaded to Google Colab?
-While the video suggests that the Google Colab instance will be shut down after use and implies that Google will not use the data, it is important to be aware of and comply with Google's data policies for sensitive data.
How does the video ensure the user's data is not given to third parties?
-The video ensures this by using an internally developed tool that allows transcription without the need for third-party services, thus keeping the user's data private.
What is the name of the virtual machine environment provided by Google?
-The virtual machine environment provided by Google is called Google Colab.
How can the transcription process be stopped or controlled within Google Colab?
-The transcription process can be controlled by interacting with the cells in Google Colab where the Whisper code is executed. Users can stop or play the code execution by using the controls provided in the interface.

Outlines

00:00

🚀 Free AI Transcription Tool Introduction

The video introduces a free tool developed by the creators to transcribe audio and video files using artificial intelligence. It emphasizes the tool's ability to transcribe speech into text without the need for third-party tools, subscriptions, or payment. The video also discusses the importance of transcription for various uses, such as meeting notes or voice notes, and the potential for further text processing with AI, like chat GPT. It mentions concerns with paid transcription services and data privacy, and outlines how the internal tool allows users to transcribe freely and securely.

Mindmap

Keywords

💡Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of the video, AI is used to transcribe audio and video content, turning spoken language into text. This is a core technology that enables the free transcription service mentioned.

💡Transcription

Transcription is the process of converting spoken language into written form. It is a key focus of the video, where the host discusses how to use AI for transcription purposes. The video demonstrates how to transcribe meetings or voice notes into text, which can then be further processed or analyzed.

💡Google Colab

Google Colab is a free cloud service for machine learning education and research, provided by Google. It is mentioned in the video as the platform where users can perform transcription tasks using AI without any cost. It provides a virtual machine environment to run the necessary code for transcription.

💡Whisper

Whisper is an AI model used for transcription, as mentioned in the video. It is capable of transcribing various types of audio formats into text. The script discusses installing and using Whisper through Google Colab to perform the transcription tasks, highlighting its efficiency and format versatility.

💡Data Privacy

Data privacy is a significant concern in the video, where the host emphasizes the importance of not sharing personal data with third-party apps. The video proposes using an internal tool developed by the host to transcribe audio and video without the need for third-party services, thus preserving user privacy.

💡YouTube Video Download

The process of downloading videos from YouTube is demonstrated in the video. It involves obtaining the URL of a YouTube video and using it as input for the transcription process. The video shows how to install a library for downloading YouTube videos and then using that video for transcription.

💡

💡Data Sensitivity

Data sensitivity pertains to the importance of handling data that could be confidential or private with care. The video script mentions that while using Google Colab, one should be mindful of the data sensitivity policies, especially if dealing with highly sensitive corporate data.

💡Virtual Machine

A virtual machine is a software implementation of a machine that executes programs like a physical machine. In the context of the video, Google Colab provides a virtual machine where users can run the Whisper AI model for transcription purposes without needing to install anything on their local machine.

💡Machine Learning

Machine learning is a subset of AI that provides systems the ability to learn and improve from experience without being explicitly programmed. The Whisper model used in the video for transcription is a product of machine learning, enabling it to understand and convert spoken language into text.

💡Free Tool

The video introduces a free tool developed by the host that allows users to transcribe audio and video content at no cost. This tool is significant as it offers an alternative to paid transcription services, allowing users to save money and maintain control over their data.

💡Audio Formats

The term refers to different digital formats for storing audio data. The video mentions that the Whisper AI model is capable of transcribing audio in various formats, indicating its flexibility and wide applicability. The script specifically mentions an 'ogg' format audio file as an example.

Highlights

The video demonstrates how to transcribe audio and video for free using artificial intelligence.

The transcription process is done without using third-party tools, subscriptions, or any fees.

A small internal tool developed by the team is introduced for free transcription.

The tool can transcribe spoken language into text, which can be useful for meetings or voice notes.

The transcription can be further processed with AI, such as with chat GPT.

Many transcription software options are available online, but they are often paid services.

There are concerns about providing data to new applications with unclear data policies.

The internal tool allows for free transcription using Google Colab, a free virtual machine service by Google.

Google Colab provides a collaborative work environment and a virtual machine for executing tasks.

The Whisper package, which is state-of-the-art in transcription, is installed and used for the process.

The Whisper package works with many file formats and can transcribe audio in various languages.

Transcriptions can be done for recordings up to 30-40 minutes long.

For longer recordings, the audio should be split into parts for transcription.

The transcription results are saved as text files that can be accessed and used.

The video also shows how to download and transcribe YouTube videos using the tool.

Downloading YouTube videos is done by installing a library and using the video URL.

The transcription of the downloaded video is fast and highly accurate.

The method allows saving money by not using a paid service and protects user data from third-party apps.

Although data is uploaded to Google Colab, the instance is temporary and presumably does not misuse the data.

The video emphasizes the importance of adhering to data policies for sensitive information.

The tutorial is appreciated for its practicality and the introduction of a useful free tool.