What Is AI Generated Text? Best Software To Use in 2024

In the 2023 movie Megan, a pre-trained humanoid, protects her friend Cady against all odds. However, to everyone else, she’s the villain who wreaks havoc by taking the lives of innocent people for her (ahem) BFF.

We’re in a newfound age of generative AI  where each step can either push us twenty years into the future or end our existence. Our steps need to be calculated and as free from risk as possible. 

AI has helped automate manual processes and given rise to a digital “present.” In content creation and branding, AI-generated text has been the newest addition, and constant improvements in AI writing assistants software have relieved content writers of the dreaded “writer’s block.”

But the question looms, will AI-generated text get as perfect as content written with a golden eye?

Given the sudden injection of AI into commercial and non-commercial domains, businesses are playing the AI card more than ever. AI copy is fueling the vision of emerging entrepreneurs as well as well-established brands. And with newly introduced generative AI tools like application programming interfaces (API), algorithms, and large datasets, computers are getting smarter. 

So far, AI tools like ChatGPT, Midjourney, or Bard have succeeded in coming the closest to understanding and simulating human intelligence. 

What is AI-generated content?

AI-generated content or synthetic media is the artificial production and manipulation of existing data into words and sentences. AI tools can quickly generate text, presentations, images, and even videos, in a concise format. Marketers can take advantage of AI multimedia content for branding, emails, or newsletters.

With AI, writers can generate high-quality content much faster. Of course, it cannot replicate the capricious charm of how human beings write, but it can intelligently produce relevant work in seconds.

AI text generators work on a transformer-based architecture. The algorithm is trained on large input datasets created with words culled from the internet and other reliable sources. These datasets are fed to machine learning or deep learning models to extract, trigger, and decide on appropriate output.

What is an AI-generated image from the text?

AI-generated images are preprocessed images that you can download with a simple textual prompt. AI-based image generators convert the information within a text, categorize it, and search for the right visual for the output. 

They don’t just rip any image off the internet. AI generators build graphic illustrations, vectors, icons, and other parameters on the backend so you get a unique image. If the user types a text prompt and clicks "image generator," the algorithm calibrates tons of captivating images to pick one from.  

You can use AI image generators to get drawings, graphs, clip arts, gifs, and multimedia content in seconds.

What is AI-generated art from the text?

AI-generated art is built by training machine learning or neural networks on a large dataset of existing work, producing synthetic images in response to textual queries. Users can replicate any art, abstract, drawing, song, or poetry, with AI art generators.

Fast and efficient algorithms spot patterns and styles in the dataset and generate new art. With the sudden push of AI, people are using it to recreate virtual vocalists, caricatures, music concerts, and website art.

The AI-generated text has seeped into every crevice of business processes. Companies are testing AI for different verticals, from customer service to branding to investor-side content. Whether sending a newsletter, creating ad copies, or writing blogs focused on search engine optimization (SEO), AI-generated content is a welcome guest everywhere.

How do AI text generators work?

AI text generator is a large language model (LLM) that works on the simple rules of language and sentence building. It’s powered by a deep neural network and natural language processing (NLP) that work on large datasets containing published work, books, and articles. 

Based on the trained algorithm, AI text generators form a word in response to user queries. Based on the new word, they go on to produce a string of words that are highly coherent and sensible.

APIs, like GPT-2, GPT-3, and GPT 3.5, are powered with NLP software, which teaches machines the primary language, grammar, and syntax rules. Apart from NLP, natural language understanding  (NLU) software, reinforcement learning with human feedback (rlhf), and general adversarial networks create human-like content.

NLP mainly works on four broader categories of language identification.

• Tokenization means breaking sentences into small semantic tokens to make an algorithm understand them.
• Dialogue management involves inspecting dialogue-based patterns and styles in the training dataset.
• Stemming explores the origin of a particular word and includes that in the output.
• Part of speech tagging is concerned with describing words as nouns, articles, phrases, and so on. 

In NLP, large datasets are consumed by machine learning algorithms to produce AI content. The constant learning and feedback cycle of algorithms generate the right output. Where machine learning becomes tricky is observing the newer queries and training for the exact content match. It relies on techniques like K-nearest neighbor to classify text and give a contextual output.

Applications of AI-generated text

Despite the initial aversion to AI, brands are now automating email responses, advanced data reasoning, and document collaboration with AI-generated text.

Let’s look at where all AI-generated text can fill in as a replacement:

• Diverse content ideas. Assemble quirky and creative ideas for your upcoming go-to-market launch with a little assistance from AI. While brainstorming about how to tap into your target audience, considering AI may narrow down your ideas and give you a headstart.
• AI Research. If you’re the kind of writer who loathes the thinking or research process that goes into article writing, AI can generate quick ideas, outlines, or keyword maps that will point you in the right direction.
• Website personalization. Given the current Google update about using Bard for optimizing search, throwing AI into your landing page copy might be a good option. Create product-focused content with a few prompts and tailor your website to new trends.
  
• Language translation. Although tools like ChatGPT or Writesonic have leaned toward English-speaking audiences, the future of these tools has to be multilingual. In no time, we’ll be able to use AI to prompt queries and get answers in regional dialects.
• AI text-to-image. AI tools also accept prompts to generate creative images. It processes text, searches its dataset, scrapes an image off the internet, and recreates it using an in-built photo editor. The resultant image is something you’ve never seen.
  
• Audio or video descriptions. For people with visual or hearing impairments, AI text generators can convert audiovisual content into a script or narrative description.
• Presentations or decks. Use AI to create numerous slides of thought-provoking content on any topic. NLP-based technology used within image-based AI tools can also build data-driven graphs and charts.
  
• Captioning. Selecting the right social media caption takes hours of pondering. Reaching out to the correct audience with hashtags, links, and calls to action is hard, but AI can curate social media captions, improve your CTAs, and make you sound like a pro.
  
• Template creation. AI is pretty handy for catering to constant business emails. It creates email templates, personalizes banner images, and generates quirky and creative subject lines. 

Different companies use open-source APIs like GPT-2 or GPT-3 to develop their versions of AI text generators. Adding a simple user interface over an open-source API can help you automate document creation and sell the new software.

Methods of detecting AI-generated text

Because it’s in the research stage, open-source large language models are free for everyone to use. This is great, but the accessible nature of such tools and APIs makes them prone to malicious activities.

AI-generated text can give way to anti-nationalist manifestos, terrorist activities, or disturbing movie scripts. To create a line of demarcation between AI-generated text and human text, a few methods have been ideated by researchers.

Watermark method

The Watermark method was first proposed by Tom Goldstein, a computer science professor at the University of Maryland. Embedding digital watermark signals in large language models helps detect AI text.

The watermark won’t harm the algorithm or the API, nor will it be visible to the human eye. The embedded signals can also be classified as green tokens, which means you can break them down to detect the text's origin.

As AI tools generate new words based on past patterns and inputs, every time the model uses an AI-generated word, a watermark gets activated and executed. If the word is taken “as is,” the token is not executed. These tokens or watermarks can be analyzed to decipher who banged out the masterpiece: AI or a human.

However, if not scrutinized properly, users might leverage the non-watermarked versions for malicious purposes.

Data poisoning or radioactive data

To spot artificial text, you don’t have to go to the app developer. Instead, sprinkle a few drops of outliers or poison into your online data. A large language model will scrape this raw data as a part of the refined dataset. These refined datasets can then be used to train algorithms safely.

Once the algorithm has learned the input dataset, look for traces of poison. If the machine learning model trained on this dataset produces an output, the traces of artificial text will be visible.

It’s all a matter of the randomness and homogeneity of the text put forth at the reader’s disposal. The more random the text is, the higher the probability that AI generates it.

AI can't emulate the natural writing process of humans. Each dendrite of the human nervous system works in unison to put together a perfectly chiseled writing piece. Unfortunately for AI, it’s got a long way to go, still.

What are AI-detection tools?

AI-detection tools split the difference between human and artificial content. Although these classifiers aren’t 100%, they might prove beneficial in some cases.

• Undetectable AI checker looks for the possibility of AI-generated content by superimposing batch-fed documents over input content. The tool returns the likelihood of AI-written content based on eight detection variations.
• Originality.ai is mainly used for spotting artificial content from professional documents. It works on GPT-4 API and generates a “low” or “high” likelihood of AI writing. It spots semantic differences in writing and marks the areas that look bot-written.

• Content at Scale is an AI-based plagiarism and content detection tool. It also has a line-by-line breakdown of what parts of your content have been flagged as AI.

• Copyleaks AI is a recently launched, accurate AI detection tool. After pasting your text in the box, hover over sections you feel suspicious about, and it generates a detection score.
• Giant Language Tester Model  (GLTR) was founded in 2019 by researchers at MIT and IBM’s Watson Labs.  Based on the GPT-2 mechanism, it detects the “randomness” and “variance” of the next word in a sentence to affirm whether a human being wrote it.  

What is Open AI’s new AI detection classifier?

Open AI’s trained classifier analyzes whether a piece of content is “likely written by AI” or a human being. Although the classifier doesn’t guarantee 100% accuracy, spotting the presence of AI text would prevent the misuse of AI in critical matters – automated email campaigns, academic dishonesty, and educational web content, for example.

The classifier works on a simple principle. It’s a large language model trained on pairs of human- and AI-generated text. The data is sourced from various channels like pre-training data, human demonstrations, and prompts from forums. The data is then divided into “prompt” and “response.” For the prompts, responses were generated through different language models. For their web version, the “false positive rate” is low, meaning the classifier would only categorize text as “likely AI-written” if it strongly feels so.

Benefits of AI-generated text

We have been aware of the benefits of written content for both personal and professional scenarios. In a personal setting, it helps you manage budgets and create household to-do lists. In a professional environment, content use cases are endless.

With the advent of AI-generated text, most of the tedium of content writers and editors has been eliminated. Rather than spending countless hours writing, proofreading, and getting feedback or approval, they can draft fine-tuned content in a fraction of the time.  

This is how AI-generated content simplifies the lives of daily content hustlers.

• Proofreading: AI-generated text is grammatically correct and free of spelling errors. The tools have a built-in editing feature that checks flow, style and tone, and the nature of content before presenting the output.
• Overcoming writer’s block. AI-generated text can help overcome writer’s block and give you a headstart for the next project. Beginning with a quick AI intro can make the rest of the writing process better. 
• Varied voice.  AI tools offer scientific, informative, didactic, persuasive, informal, casual, or negative tone content. Set your tone of voice beforehand to generate perfect content pieces.
• Readability and flow. AI content is super-readable and doesn’t seem generic. Apart from explaining a topic well, the algorithm ensures smooth transitions between sections.
• Faster content creation. For every new content project, you can employ AI-generated text. Write emails, business letters, AI-generated blog posts, or AI-generated articles.  A mountain of documents can be built from the ground up with articulate content, facts, and discoveries.
• SEO compatibility. As these tools crawl every nook and cranny of the internet, they can help you optimize your article as per relevant search queries. From generating keyword maps to optimizing content, AI text generators can be your friendly SEO companion.
• Expert content. People like to hear from the horse’s mouth. AI facilitates best-in-class language, keywords, and style to create flawless content.
  
• Better efficiency and productivity. The AI-generated text helps mitigate the stress that comes with overflowing content queues. It’s an easy ticket to maintaining your work rhythm.

Limitations of AI-generated text 

AI can shoulder most writing responsibilities, and it’s also changing how brands view content. Previously, brands gave preference to the “creative ideas” of writers.  But now, as AI tools process information on a large scale, brands are becoming more “basic.”

Although this might not be a dealbreaker, this and a few other aspects warrant caveats for the upcoming generation of content marketers and writers.

• Homogeneity. AI text generators might produce one output twice for two reader personas or topics. Even if you prompt the engine by giving more details about the second topic, there won’t be much to work with.
• Code building and quality. Don’t use AI text generators to code complex, feature-based plugins. Although AI generators can code and debug, they won’t be able to understand feature implementation.
• Plagiarism. Some instances of AI tools have resulted in an increase in plagiarism percentage of  10-15%. Plagiarized content could tarnish your brand reputation and make you lose online visitors.
• Lack of data-driven thinking. AI focuses on being clear and to the point. No amount of data can infuse “emotional” or “self-aware” capabilities in AI tools to create inferences and implicit transitions in content.

Best AI writing assistants for 2023

AI writing assistants use self-evolving technologies like NLP to simplify the writing process. Users can query about keyword search, grammar, tone checking, article outline, and article samples to get the assistant aligned with the relevant topics. Natural language processing does all the legwork for writers so that they finish more writing tasks in the nick of time. 

To be included in the AI writing assistant category, the software must:

• Use machine learning algorithms to capture, classify and repurpose data 
• Produce artificial intelligence-generated content at some part of the writing process
• Provide “improvement ideas” to writers to better the current written work
• Offer additional, appropriate sources to build the writer’s knowledge
• Continue giving more and more options in case the writer isn’t satisfied with the output
• Check for spelling, voice narration, grammar, and homonyms in the final result
  

*The following data was collected from G2 Spring 2023 Grid Report on May 2023. Some reviews might be edited for clarity. 

1. Grammarly Business 

Grammarly Business is a pioneer in developing AI products and helping users write. With their newly launched plugin, Grammar Go, users enhance creative ideas, title suggestions, email subject lines, and calls to action within a few clicks. The system works on built-in principles of large language modeling, cloud computing, data compliance, and security, all of which attest to the uniqueness and accuracy of the text. 

Grammarly has spearheaded professional growth for over 50,000 small-scale and enterprise-level organizations that have embraced the AI revolution.

What users like best:

“Grammarly has been an excellent tool for our organization. Our grants department has taken full advantage of all the different features of the software, implementing succinct changes that have helped us reach different goals. The marketing and communications team uses it to help proofread their work and craft better materials. The whole staff enjoys using the tools!

As an administrator, we have created style guides for our departments, providing great rules to convey our organization's values better.”

-Grammarly Business Review, Hector G.

What users dislike:

The Grammarly suggestions won't sometimes work due to changing the different languages; I type an English word with mistakes in the chat window, but it stays the same. Grammarly should work in offline mode. When the network connection is not good, it will be beneficial in offline mode.

- Grammarly Business Review, Vikram G.

2. Jasper 

Jasper is a pioneer in producing 100% original, high-quality, and plagiarism-free content. With a backend mechanism that supports more than 30 languages, Jasper helps you create, edit, and research content in your chosen language. Look no further if you want a free alternative for producing long-form content. It supports email creation, landing page copies, product descriptions, blogs, titles, and articles.

In Jasper’s free plan, you can access unlimited words, 50 templates, one brand voice, Jasper Art, and a plagiarism checker.

What users like best:

Jasper is a great AI that will create helpful written content. Jasper is everything I have come to expect over the many years of using this AI. You can be sure pricing will be around the same as other competitors, if not less expensive. I use the highest tier, saving time and money as I learn how to use the platform.

- Jasper Review, Justin O.

What users dislike:

When you insert text in the middle, the app generates text based on the text written before the insertion. It does not fully integrate it in the text after the insertion.

It can make up facts sometimes, so the content must be validated.

- Jasper Review, Mohamed W.

3. Anyword 

Anyword is a one-stop solution for all your ad-hoc content needs. It’s one of the most prominent copywriting and content optimization platforms for recurring document creation.

Optimize ad copies, make social media captions, and email campaigns with Anyword at a fraction of the cost of other AI assistants. Its NLP and neural network mechanism creates top-notch suggestions for users to make their marketing worthwhile.

What users like best:

Anyword has increased my output in all parts of my career by 10 tens. I put rich, focused content or curate ideas through this tool. I love everything about Anyword.

- Anyword Review, Amber M.

What users dislike:

It would be cool if they added a citation generator. This is an area that I always struggle with, and I have to purchase another service for this task. It would be cool if this were all in one place.

- Anyword Review, Corin R.

4. Pepper Content

Pepper Content is a freelancing and content assistant website where you can sign up to auto-generate topical content. With its large swath of freelance writers, word generators, and artificial intelligence, Pepper Content has increased its user base by a whopping 63%! 

What users like best:

The best thing about Pepper Content is that they have created a complete tool that assists me with all parts of content creation, including blogging, social media captions, Google Ads copies, and so much more. The AI generator is quite amazing. I like where the product is heading.

- Pepper Content Review, Shivam A. 

What users dislike:

I think I dislike that Pepper’s internal communication is not that good. There's a lot of back and forth happening in between the project, which could be improved easily.

- Pepper Content Review, Deb Milan G. 

5. Writesonic

Writesonic is a text-to-image generator and AI detection platform that automates content creation through AI functionality and detects the presence of AI-generated text. Its quick and efficient engine helps curate long-form and short-form content, images, and multimedia. Writesonic is one of the oldest and strongest AI text generators, trained on user reviews, feedback, and prompts.

What users like best:

Writesonic is a must-have for any marketer looking to generate high-performing copy in any capacity. It's affordable, easy to use, and boasts a large library of prompts so you'll always have ideas. The intuitive interface makes it easy to use, while the library of prompts offers a wide range of options to create content tailored to my specific needs. Whether I'm crafting social media posts, email campaigns, or even revamping my résumé, Writesonic has me covered.

- Writesonic Review, Katlynn Y.

What users dislike:

Having to upgrade to get better features. It's how we keep Writesonic running, but if we had a portion of those new features without having to update it, then it would be amazing.

- Writesonic Review, Hani N.

Authoring your way into success 

For writers, AI-generated text is a hard pill to swallow. Gripped with the fear of AI replacing them, some are simply trying to ignore it.  However, reality changes with time, and the writers embracing the new technology revolution will remain and thrive. 

2023 started with a huge AI bang! Learn about the upcoming AI trends in 2023 to stay on top of the current tech market.