AUTOMAÇÃO - COMO TRANSCREVER ÁUDIO DO WHATSAPP PARA TEXTO - MAKE INTEGROMAT

O Piloto Automático | Emília Thaynara

17 May 202409:43

Summary

TLDRIn this video, Emilli demonstrates how to automate the transcription of WhatsApp audio messages into text. She explains the process using tools like Make, Zapier, and OpenAI's ChatGPT API. The video covers setting up webhooks, downloading audio files, and creating transcriptions, along with sending automated responses. Emilli also mentions a training program for deeper learning. The tutorial is practical and aims to help viewers understand and implement audio-to-text automation efficiently.

Takeaways

😀 The video is about automating the process of transcribing audio messages from WhatsApp to text.
📲 The presenter, Emilli, demonstrates how to use this automation in practice and offers further explanation.
🎥 The demonstration involves sending an audio message and receiving a transcription of it.
🔗 The video is part of a larger training course that teaches not only transcription but also understanding and responding to audio messages using AI.
🛠️ Three tools are required for the automation: Make, Zapier, and the OpenAI API with a one-month free trial.
💰 A 10% lifetime discount is mentioned for Zapier, and an additional 10% discount is available through a link in the video description.
🔗 The video description contains links to access more in-depth content and to join the training.
📝 The process involves creating a webhook in Make, downloading the audio file, sending it to OpenAI for transcription, and then sending the transcribed text back via text message.
📱 A filter is set up to ensure the automation only activates for messages from a specific contact during testing.
👀 The video includes a live troubleshooting moment where a mistake with the sender's name is corrected to successfully execute the automation.
📚 The presenter encourages viewers to subscribe, like, and comment on the video, and to check the description for links to tools and further training.

Q & A

What is the main topic of the video?
-The main topic of the video is demonstrating how to automate the transcription of audio messages received on WhatsApp into text.
What is the purpose of the transcription automation shown in the video?
-The purpose is to transcribe audio messages into text for better accessibility and to enable further automation, such as generating responses using AI.
What is the initial step in setting up the automation as described in the video?
-The initial step is to create a webhook in the Make tool to receive messages sent to WhatsApp.
What are the three tools mentioned in the video that are needed for this automation?
-The three tools mentioned are Make, Zapier, and the OpenAI Chat GPT API.
How long is the free trial for OpenAI's Chat GPT API according to the video?
-The free trial for OpenAI's Chat GPT API lasts for one month and includes 10,000 operations.
What is the purpose of the 'get a file' step in the automation process?
-The 'get a file' step is used to download the audio file from the URL so that it can be sent to OpenAI's Chat GPT API for transcription.
What does the video suggest to do after receiving the transcription from OpenAI's Chat GPT API?
-The video suggests sending the transcription back as a text message to the contact who sent the original audio message within Zapier.
What is the importance of setting up a filter in the automation process as shown in the video?
-The filter is important to ensure that the automation is only activated when specific conditions are met, such as the audio existing and the message status being 'read'.
What is the significance of the 'sendername' in the context of the video?
-The 'sendername' is significant because it is used in the filter to ensure that the automation only triggers for specific contacts, in this case, Helen.
How does the video demonstrate testing the automation?
-The video demonstrates testing the automation by sending an audio message to the creator's phone and observing if the transcription and response automation works as expected.
What is the final outcome the video aims to achieve with the described automation?
-The final outcome is to receive an audio message, transcribe it to text, understand the content, and respond back with a new audio message, all through an automated process.

Outlines

00:00

📱 Introduction to WhatsApp Audio Transcription Automation

In this video, Emilli introduces a new automation tutorial where you can transcribe audio messages received on WhatsApp into text. She starts by demonstrating the process using a cellphone, explaining how the automation works in practice. Emilli sends an audio message and shows the transcription result. She highlights that this video is the beginning of a comprehensive training that not only covers audio transcription but also generating responses using ChatGPT and sending them back as audio messages, all through automation. She encourages viewers to access deeper content by joining her training program through the link in the description.

05:00

⚙️ Tools and Setup for WhatsApp Audio Transcription

Emilli details the tools needed for setting up the automation: Make, Zapier, and OpenAI's ChatGPT API. She explains that Make offers a free trial with 10,000 operations and Zapier provides a 10% lifetime discount. Emilli then shares her screen to guide viewers through the setup process from scratch, starting with creating a webhook in Make and configuring it in Zapier. She demonstrates how to receive audio messages, download them, and send them to OpenAI for transcription. Emilli also covers setting filters to ensure the automation only processes specific audio messages, emphasizing the importance of correctly mapping the sender's name for accurate execution.

Mindmap

Keywords

💡Automation

Automation refers to using technology to perform tasks without human intervention. In the video, the host demonstrates an automation process that transcribes WhatsApp audio messages into text. This automation is integral to the video's theme as it showcases the potential of integrating various tools to streamline tasks.

💡WhatsApp

WhatsApp is a popular messaging app used for sending texts, audio messages, videos, and images. The video focuses on automating the transcription of audio messages received on WhatsApp, highlighting its relevance in everyday communication.

💡Transcription

Transcription involves converting spoken language into written text. The video teaches viewers how to automatically transcribe WhatsApp audio messages to text using specific automation tools, making this process quicker and more efficient.

💡ChatGPT

ChatGPT is an AI language model developed by OpenAI, used for generating human-like text based on input prompts. In the video, ChatGPT is employed to transcribe audio messages and can also be used to generate audio responses, emphasizing the AI's versatility in automating communication tasks.

💡Make

Make is a tool used for creating and managing automation workflows. In the video, the host uses Make to set up the automation process that handles the transcription of WhatsApp audio messages, demonstrating how it integrates with other tools for seamless automation.

💡Zapier

Zapier is an automation tool that connects different applications to automate workflows. The video explains how to use Zapier alongside Make and ChatGPT to create an automated system for transcribing and responding to WhatsApp audio messages, highlighting its role in simplifying complex tasks.

💡API

API (Application Programming Interface) is a set of protocols for building and interacting with software applications. The video discusses using the OpenAI API to integrate ChatGPT into the automation process, enabling the transcription and response generation functionalities.

💡Web Hook

A Web Hook is a method used to receive real-time data updates. In the video, the host sets up a Web Hook in Make to trigger the automation process whenever a new audio message is received on WhatsApp, illustrating its importance in initiating automated workflows.

💡Filter

A filter in automation tools is used to specify conditions under which certain actions should occur. The video shows how to set up filters to ensure that the automation only processes audio messages from specific contacts, demonstrating how filters help customize and control automation workflows.

💡Training

Training in the context of the video refers to the comprehensive learning resources provided by the host to deepen viewers' understanding of automation tools and processes. The host mentions a training program that covers using Make, Zapier, and ChatGPT, encouraging viewers to learn more about automating their tasks.

Highlights

Introduction to automation for transcribing WhatsApp audio messages to text.

Using a cellphone to demonstrate the process.

Initial demonstration of receiving an audio message and its transcription.

Explanation of a training program that goes beyond just transcription.

Using ChatGPT to understand and respond to audio messages automatically.

Three tools needed: Make, Zapi, and ChatGPT API.

Setting up a Web Hook in Zapi to receive audio messages.

Downloading the audio message from the received URL.

Creating a transcription using the ChatGPT API.

Setting up filters to ensure only specific messages are processed.

Sending a text message with the transcription back to the original sender.

Handling errors and correcting the process live.

Encouragement to sign up for the training program for deeper learning.

Invitation to subscribe to the YouTube channel and leave comments.

Providing links to tools and training in the video description.