How to turn videos into blog posts with AI: A complete guide

Video is king, right? You spend hours scripting, shooting, and editing the perfect YouTube video or webinar. It gets a ton of engagement, but then it just sits there. The problem is, search engines can't "watch" your video to figure out what it's about, and plenty of people still prefer to scan an article to get the info they need.

That's where repurposing your content comes in handy. Turning your videos into blog posts is a smart way to double your content's reach, give your SEO a boost, and offer your audience another way to connect with your brand. For years, this was a manual process. But now, AI has completely changed things, making it faster and easier than ever to transform spoken words into written articles.

And while many tools can turn a video into a draft, platforms like the eesel AI blog writer are taking it a step further. Instead of just transcribing, they can generate a complete, publish-ready, SEO-optimized article from just a topic. It's less about repurposing and more about creating something new from the ground up.

What is a video-to-blog converter?

At its core, a video-to-blog converter is a tool that uses AI, specifically Natural Language Processing (NLP), to listen to the audio in your video and write it all down. You can think of it as a super-fast transcriptionist.

But it doesn't stop there. A real video-to-blog converter goes beyond a simple wall of text. It analyzes the transcript to identify the main points, breaks the content into logical sections with headings and paragraphs, and polishes the language to make it readable. The goal is to give you a solid first draft of a blog post without you having to type out every single word. It's the difference between getting a raw transcript and getting a structured document that’s ready for you to edit and publish.

Common methods for turning videos into blog posts

Let's walk through how this process has evolved, from doing it all by hand to using some smart AI tools.

The manual approach: Transcribing and rewriting

Before AI became widely available for this task, turning a video into a blog post was a detailed, multi-step process. The process looked something like this:

1. You’d either manually type out everything said in the video or use a basic transcription tool to get a raw text file.
2. You'd copy that raw text into a document.
3. Then came the hard part: manually shaping it into an actual blog post. You’d have to write an engaging intro, come up with clever headings, break up long paragraphs, and write a solid conclusion.
4. Finally, you’d have to hunt down relevant images or take screenshots to make the post visually appealing and easier to read.

   

The biggest limitation here is time. This process can take hours, even for a skilled writer and editor. It's time-intensive and rarely results in a post that's truly optimized for search engines, because you're just rewriting what was said, not what people are searching for.

Using general AI assistants like ChatGPT

Then came tools like ChatGPT, which represented a leap forward. The workflow is straightforward: you paste your video transcript into the chat window and give it a prompt like, "Turn this transcript into a blog post."

Of course, it's rarely that simple. To get a decent result, you have to get good at "prompt engineering." People have created incredibly detailed prompts on Reddit that tell the AI exactly what tone to use, how to structure the article, and which keywords to include.

It's not, it's a wrapper with an advance prompt that outputs everything OP listed.

Reddit

But even with the best prompts, you have a few limitations to consider:

• Generic output: The writing can sometimes feel generic. It may lack the nuance of a human writer and often requires editing to align with a specific brand voice.
• No visuals: As a text-based tool, ChatGPT cannot create visuals like images, infographics, or tables. These assets must be sourced or created separately.
• Lacks real-world context: It does not automatically pull in timely social proof, like relevant quotes from public forums or embed related videos to add depth.
• Still a multi-step process: You still have to get the transcript, write the prompt, generate the text, fact-check it, find and add visuals, and then format everything for publishing. It saves time on the initial writing, but it remains a multi-step workflow.

Using dedicated video-to-blog AI tools

This brings us to purpose-built tools designed specifically for this task. They offer a much more streamlined workflow than a general-purpose AI like ChatGPT because they're focused on one thing: turning videos into articles.

Tool 1: Video To Blog

Video To Blog makes the process pretty simple. You just give it a YouTube URL or upload a video file, and it gets to work. It has some neat features like "Smart Screenshots" that automatically grab relevant visuals from the video and "Smart Links" to help with SEO. It can even connect directly with platforms like WordPress, Shopify, and Webflow to make publishing easier.

• Pricing: They have a free plan that lets you convert one video per month. Paid plans start at $14/month for 5 videos (Starter), go up to $39/month for 15 videos (Pro), and top out at $69/month for 50 videos (Business).

• Limitations: This tool is designed to repurpose the content within a specific video. It does not perform broader research outside of the source material to create a net-new article on a topic. The output provides a solid draft that may require additional polishing and SEO optimization.

Tool 2: RightBlogger

RightBlogger is more of an AI writing toolkit that includes a "Video to Blog Post" feature among its 90+ other tools. You can pop in a YouTube URL, pick your tone and language, and it generates a blog post. A cool feature is "MyTone," which lets you train the AI on your own writing so the output sounds more like you.

• Pricing: There's a free plan that caps you at 2,000 words a month. The Lite plan is $9.99/month for 10,000 words, and the Pro plan is $17.99/month for unlimited words (both billed annually).

• Limitations: As part of a larger writing suite, its primary function is text generation. Users are responsible for creating or sourcing other elements like images and tables, finding external quotes, and performing final SEO adjustments.

Here’s a quick breakdown of how these methods stack up:

The next generation: Creating blog posts from a keyword

This is where the technology gets really exciting. The eesel AI blog writer represents the next evolution, shifting the focus from repurposing old content to creating new, optimized content from scratch.

The fundamental difference is this: you don't start with a video. You start with a keyword or a topic.

You tell eesel AI what you want to rank for, and it handles the rest. It researches the topic, analyzes the top-ranking articles, and then generates a complete post that's engineered to perform in search engines. You can use your video as a source of context, but it's not the only source. This approach frees you from the limitations of what was said in a single recording and allows the AI to create the best possible article on the subject.

This is what sets it apart from the other tools:

• Complete Asset Generation: It doesn't just write text. eesel AI automatically creates and embeds custom AI-generated images, infographics, charts, and tables right into the article. Your blog post comes out looking complete and professional.
• Authentic Social Proof: It automatically finds and embeds relevant quotes from real Reddit conversations and other useful YouTube videos. This adds a layer of authenticity and depth that adds credibility and value to the content.
• Context-Aware Research: The AI is smart enough to know what kind of content to look for. If you're writing a comparison post, it will go find pricing data. If it's a product review, it will pull up technical specs. It does the research for you.
• AEO (AI Engine Optimization): Your content isn't just optimized for Google; it's structured to be featured in AI answer engines like Google AI Overviews and Perplexity. This is about future-proofing your content strategy.
• Proven Results: We used this exact tool to grow our blog's traffic from 700 to 750,000 daily impressions in just three months by publishing over 1,000 articles.

The workflow couldn't be simpler:

1. Enter your target keyword (like "how to turn videos into blog posts with AI").
2. Add your website URL so it can learn your brand's context and weave in natural product mentions.
3. Click generate, and in minutes, you have a complete, publish-ready blog post.

   

It’s a different approach to content creation.

The evolution of video-to-blog content creation

We've gone from the slow, manual grind of transcribing videos by hand, to using general AI assistants that need a lot of hand-holding, to dedicated AI tools that do a decent job of creating a first draft. Each step has made the process easier.

But at the end of the day, the goal isn't just to put the words from a video onto a page. It's to create a genuinely valuable, SEO-driven article that attracts a new audience and drives organic traffic.

That’s why the modern approach, pioneered by tools like the eesel AI blog writer, is a powerful strategy. It shifts the focus from simple conversion to comprehensive content generation. It's not about making a slightly better version of your video; it's about using a single idea to create the best possible blog post on that topic, complete with rich media, real-world insights, and SEO baked in from the start.

To see one of these AI tools in action, check out this tutorial that walks through how you can automatically convert your YouTube videos into fully formatted, SEO-optimized blog posts.

This video explains the steps for how to turn videos into blog posts with AI using a dedicated tool.

Don't just repurpose your content, elevate it. Try the eesel AI blog writer for free and see how quickly you can turn a single keyword into a high-ranking blog post that people actually want to read.