How To Create Blog Posts Automatically Using Python & AI

March 2, 2024

Ever dreamed of turning your video tutorials into engaging blog posts effortlessly? This tutorial is your magic wand! Ideal for content creators eager to streamline their writing process, we introduce an innovative method to craft blogs directly from videos. This step-by-step guide will teach you how to create blog posts automatically using a programming language called Python. The best part, you don’t even need to know how to code to do this! (Although it may help if you run into any issues you might need to debug).

Stick around for this whole tutorial because we’ll be learning how to transcribe any YouTube video using AI and deep learning. The applications for something like this are endless, this just gives you an idea of how someone might use it to automate blog posts.

Without any more wasted time, let’s get right into this tutorial on how to create blog posts automatically using Python.

Introducing the Game Changer

Meet the Automatic Blog Post, a cutting-edge Python project that automates blog post creation from YouTube videos. Imagine having your videos not just seen but read, expanding your audience reach. This tool is a blend of machine learning and natural language processing, designed to make content creation a breeze.

This project is written in Python and we’ll be using some Python libraries like Pillow and subprocesses to help us interact with Deepgram’s API as well. We’ll use the framework of another repo to build our own working app. Our new project will use the updated DeepGram API and works as of March 2024.

Here is the original repo for reference: https://github.com/tiemi/automatic-blog-post.git

How It Works: A Peek Under the Hood

The journey begins with video processing to extract audio, utilizing the DeepGram API for speech-to-text conversion. The magic happens as we analyze pauses, crafting perfectly spaced paragraphs. We use another pre-trained model to extract keywords from the transcript. Additionally, we’ll use DeepGram to give us a summary of the video as well.

Getting Started

  • First step: Create a DeepGram account and generate your API key.
  • Ensure Python is set up on your system. Anaconda is recommended for a seamless experience (but not required).
  • Clone the project, install dependencies via pip install -r requirements.txt, and you’re set to generate your blog post with a simple command.
sign up for a Deepgram API key, it is totally free.

Diving Deeper

The process involves downloading the audio and thumbnail image from the input YouTube URL. Next, we crop the thumbnail to remove the black area around the image, and lastly, we get the text generation using DeepGram’s API. The text is polished for punctuation, split into paragraphs, and saved to a markdown file. The result? A blog post filled with compelling content, ready for your audience!

Post-Processing Tips

Encounter domain-specific terms? The “input” directory contains a json file which allows us to fix some words that the AI will confuse in the transcription. You can add more terms on an “as-needed” basis depending on your video.

{
"As r": "ASR",
"Ai": "AI",
"Apis": "APIs"
}

Conclusion

With everything set, it’s time to test with a DeepGram video tutorial. The result is a detailed, insightful blog post that not only educates but engages. This tool is not just about efficiency; it’s about revolutionizing how we think about content creation. Ready to dive in? Your next great blog post is just a video away.

Thank you for exploring this transformative tool with us. Your feedback and insights are invaluable as we continue to share knowledge and innovate together. Stay tuned for more!

The Final Product

Length

2 minutes

Language

English

Subtitles

English

Transcript

#aispeechplatform #voicedata #accuraterealtimetranscription

🔥 Summary of What is Deepgram?

Most automatic speech recognition services or ASR’s are built on technology that’s over fifty years old. The old tech is fine for short call and response audio, but it just doesn’t work for conversational audio. We built an end to end deep learning neural network that delivers actually usable transcriptions that get even better over time at lightning speed without high hardware costs or high transcription costs.

🔮 Video Transcription

Voice enabled experiences are a big deal in business these days. For good experience, you need a foundation of real time accurate transcription. But most automatic speech recognition services or ASR’s are built on technology that’s over fifty years old. Yep. Even these guys.

The old tech is fine for short call and response audio. Alexa. What’s the weather today, But it just doesn’t work for conversational audio. I’m having a problem with my super user service, this is what’s happening. In order to make real use out of voice data, transcription needs to be accurate fast, cost effective, and scalable.

With the old tech, you can maybe get one or two of these requirements. But no matter how hard they try they just can’t adapt it to give you all four. So we reinvented it. Hi. We’re Deepgram.

We built an end to end deep learning neural network. A what? Sorry, an AI speech platform that delivers actually usable transcriptions that get even better over time at lightning speed without high hardware costs or high transcription costs. And because we’re better, faster and cheaper, guess what. We’re also more scalable.

So if you’ve avoided building that great voice feature because you lack the right Api. Good news. It’s time to get to work. Triple a spread so please. What could you do with accurate real time transcription.

Oh, just off the top of our heads, you could create conversational AI, virtual assistance, voice analytics agent enable, compliance improvement, better customer experience, just to name a few. We’re here to help you go big. If you don’t know where to start, don’t worry. In addition to providing the best technology stack, Deepgram makes an excellent partner. We know the world is constantly changing, and your audio and transcription needs will too.

Will be with you every step of the way from labeling your data to training custom AI models to employment on prem or in the cloud. To ensure your transcription foundation is powering the experience that actually delight your customers. So if you’re ready to stop chugging along on less than ideal solutions and start building the next great voice product, we’re ready to help make it happen. Deepgram. No compromises, only opportunities.

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