Blog>
Learn How to Humanize AI Text: Tips and Examples
Writing with AI
8 min read

Learn How to Humanize AI Text: Tips and Examples

In this article, you will find actionable tips to humanizing AI, 2025 updates, and AI writing models overviews.
How to Humanize AI Text
Written by
Catherine B.
Published on
May 5, 2025
Table of contents
It is approximately the tenth round as you rewrite the text after passing it through Copyleaks. The stubborn thing still indicates about 60 to 90+ percent of AI, and you become desperate.
You feel like you rewrote the whole essay yourself at this point. There is no original unchanged sentence left. Yet, the result is the same.
If you have been in this scenario, you need to learn how to humanize AI text. The problem is that AI detection is not about whether you have written the text or AI did. It’s about repetitive markers and language patterns that get detected.
StudyPro will explain here how come that AI detector identifies your text as AI, and how to avoid that case.
Improve your academic writing with StudyPro!
The all-in-one AI tool you’ve dreamed about for your academic needs. Try now!

Benefits of Humanizing AI Text

The main reason for humanizing each AI written text you use is that current detection systems can identify AI-generated text with over 95% accuracy. The 2023 study has compared 16 different AI writing detectors, and most of them showed an 80-100% accuracy.
AI detectors are using advanced linguistic pattern recognition and stylometric analysis. If you are convinced enough of the necessity now, let’s get to the tips on how to humanize AI-generated text.
Moreover, humanizing the text after AI writers works for you in a few more ways:
  • Helps you avoid plagiarism
  • Protects your academic record
  • Teaches you how your writing sounds.
Learn more: What is plagiarism?

Machine Generated Vs. Human Text: Common Patterns

To effectively humanize AI text, you first need to recognize the telltale differences between machine-generated and human writing.
Understanding these distinct patterns helps you fix exactly what triggers AI detection tools in your academic papers.
AI generated text is a text generated by artificial intelligence models based on patterns in data. It is often structured, grammatically correct, and neutral in tone. However, it also lacks emotional depth and natural language variation.
A human-written text is a text created by a person, typically shaped by personal intent, emotion, context, and stylistic quirks. It is less uniform but more expressive and unpredictable.
We have already touched on the subject of how to rewrite AI-generated text. In the previous article, you will find tell-tale linguistic signs all collected and sorted for your convenience.
Here, let’s do a quick recap and proceed to relevant tips in 2025 on humanizing an AI text in your academic papers.
Feature
Machine-Generated Text
Humanized AI Text
Tone and voice
Often neutral, formal, objective, or generic. May lack a distinct personality.
Has a specific, consistent tone (e.g., friendly, witty, empathetic, authoritative).
Style and flow
Repetitive in sentence structure or phrasing. Prioritizes logical structure over natural reading flow. Sometimes overly verbose.
Uses more varied sentence lengths and structures. Focuses on rhythm and smooth transitions.
Nuance and context
Misses subtle cultural nuances, sarcasm, irony, or deep contextual understanding.
Conveys nuance, subtext, and cultural context more effectively.
Originality and creativity
Primarily recombinatory, based on patterns in training data.
Also fundamentally recombinatory, but always adds some personal perspectives.
Grammar and syntax
Avoids grammatical mistakes but is prone to factual errors, “AI hallucinations”
May include minor stylistic inaccuracies, but avoids significant errors.
Table 1: Comparison of Machine-Generated vs. Humanized AI Text (2025)

How to Humanize AI Text? Common AI Detection Triggers in 2025

The controversial take is that humanizing AI text is a task for a human, not another AI model.
The key tip in adding a human touch to the text yourself is to apply the human text converter approach. It comes down to a simple idea: keep the substance but rework the presentation.
Let’s see some particular tips and examples of AI text “humanization.”

Use Appropriate AI Models and Prompts

The task of humanizing AI text begins with choosing the most appropriate AI models for writing in the first place. All advanced AI tools can react to prompts, write text, or proofread. However, not all of them are best suited for academic writing.
Here are some tips on how to choose between different AI writers:
  • Check what AI detection tools are used in your college. Learn the core principles of AI detection.
  • Compare the writing style of a few models. Some are better than others in producing human-like content with the right prompts.
  • Check a list of common AI writing patterns. Then, feed it to different models as a “not to do” guide to customize your prompts. That’s essentially what AI humanizer tools do - they simply reduce common language patterns.
Experiment with prompt engineering. Try different instructions and prompts so that you won’t need extensive AI to human text conversion later.
Tool
Main available models
Text generation abilities
Chat GPT
GPT-3.5, GPT-4, GPT-4o
Good for structured, coherent writing; strong at tone, clarity, and voice adaptation.
Claude
Claude 1, Claude 2, Claude 3 (Opus, Sonnet, Haiku)
Works good for clear, human-like, empathetic writing; great for essays, storytelling, and softer tones.
Gemini
Gemini 1.0, Gemini 1.5 (Pro, Flash)
Works best for Google-powered research, good for general writing quality, though sometimes more "factual" than expressive.
DeepSeek
DeepSeek-R1
Optimized more for code and multilingual NLP; text generation is decent, but less nuanced in tone or human-like voice.
Table 2: Chat GPT, Claude, Gemini, and DeepSeek text generation comparison
The common problem with generic AI models like Chat GPT is that they are designed as an all-in-one tool. Each generic AI text tool is not particularly suited for writing academic papers.
That’s why we at StudyPro came up with the idea of a new generation of AI assistants, tailored specifically for the needs of students. Models pre-trained with academic data work better at writing, proofreading, outlining, and drafting.
How to Humanize AI Text
Image 1: User case of humanizing AI text. The credit goes to public Reddit resource

Consider AI Text as an Idea Bank and a First Draft

Generative models simply summarize and paraphrase vast amounts of data available to them. AI text is never original. It is a paraphrase of a paraphrase.
Therefore, treat AI written content as a quick summary worth a few hours of internet surfing time. It was never particularly meant to add a genuine human touch or emotional depth, because these are the human qualities.
So, here is how you can still benefit from treating AI content as a draft:
  • Extract core concepts.
  • Combine multiple AI content outputs to mix ideas.
  • Use AI-generated drafts as a collaborative partner to think with and ask you questions rather than a contractor to do the work instead of you.
  • Use AI models for research gathering and synthesis.
  • Apply AI-generated text to avoid writer’s block.
  • Use it to outline academic papers for you.
“GPT‑3 is trained to predict the next word on a large dataset of Internet text, rather than to safely perform the language task that the user wants.” - OpenAI.

Add Concrete Details and Sensory Anchors

One of the most effective ways to humanize AI content is by adding specificity that machines typically lack:
  • Real-world examples
  • Sensory descriptions
  • Specific stories
  • Statistics or data points
  • Topic-specific terminology
  • Analogies from daily experiences
  • References to current events or cultural touchpoints
  • Practical examples of concept applications
Human-like writing has an authentic voice because of these details. Human written content usually switches between different examples, details, emotions, and contexts. AI generated text, in contrast, is more about “content creation”.
It is trained on the texts that were mainly developed by digital marketers for informational blogs. Such content is intended for “reader engagement”, and “effective communication” not a genuine insight.
Therefore, if you want to add a personal touch to your academic essay or a research paper, think of things that you would share in conversation, not something you would see in Google articles.
Current research on LLM training tries to fix the problem of AI adopting the most repetitive and superficial content patterns from the training data. One such close take comes from Meta AI. In 2022, Meta presented research on off-belief learning.
“The goal of off-belief learning is to find the most efficient way to communicate without assuming any prior conventions.” - Meta.

Fix Repetitive AI Sentence Structures

AI detection tools can spot AI writing so easily because of repetitive sentence structures. There are two reasons for such repetitiveness:
  • AI-generated content comes from thousands of generic articles. AI text merely repeats all typical introductions and cliches humans use. However, it does so on scale. Human-like writing can sound redundant and superficial sometimes, too. However, AI writing picks up these mistakes and multiplies them on scale.
  • AI texts are context-deaf. Repetitive cliche sentences may be expected for a website written a few years ago or for a formal document where precision is essential. However, AI writing misses that context. Instead, it applies the same default writing style to any writing process. Human content is always contextual. AI-generated text is not.
Here are some repetitive AI sentence examples:
AI sentence pattern
Example
Overused intro phrases
In today's fast-paced world... / It is important to note that...
Redundant enumeration
First,... Second,... Third,...
Excessive hedging
It might be said that... / One could argue that...
Repetitive transitions
Moreover... Furthermore... In addition...
Generic conclusions
In conclusion, it is clear that...
Stiff generalized formality
It is widely acknowledged that...
Template-like advice
To achieve success, one should... / Here are some tips to consider...
Evenly balanced opinions
While X is beneficial, it also has drawbacks...
Artificial enthusiasm
This amazing tool will completely transform your life!
Overuse of buzzwords
Synergy, paradigm shift, cutting-edge, seamless integration...
Table 3: Examples of common AI sentence patterns
2025 update:
The newest AI algorithms can now help maintain your existing writing structure across AI-generated content. For example, OpenAI has recently announced that Chat GPT can remember your previous conversations.

Remove Redundancies and Clishes

To humanize AI text, you essentially need to think of everything that is repetitive, redundant, and machine-like in human writing.
AI detectors easily pick up on the lack of natural flow typical for authentic human writing.
Here are some of most common phrases that trigger AI detection:
Phrases types
Examples
Overused metaphors
"A double-edged sword" "At the end of the day" "Think outside the box" "A game-changer" "Move the needle"
Unnecessary adverbs
"Extremely important" "Highly effective" "Clearly demonstrated" "Truly valuable" "Significantly better"
Hedge word clusters
"It seems that..." "One could argue..." "It might be possible that..." "Some may suggest..." "Arguably..."
Topic clishes
"In today’s digital age..." "We live in a fast-paced world..." "Technology is evolving rapidly..." "Data is the new oil"
Wordy conclusions
"In conclusion, it is clear that..." "To sum up, we can say that..." "Ultimately, this shows that..." "Thus, we can conclude..."
Typical idioms
"Hit the ground running" "Break the ice"
Table 4: Examples of common AI repetitive phrases
If you are unsure how to replace these phrases, use these AI to human conversion ideas:
  • Replace clichéd jargon with direct, straightforward language that resonates with human readers.
  • Replace overused metaphors with fresh comparisons. For example, think of the original meaning you want to communicate and think of a visual picture you associate with an idea.
  • Look for unnecessary adverbs that AI writers often overuse and replace with stronger verbs.
  • Remove "hedge word" clusters that trigger AI detection.
  • Substitute industry clichés with more specific, meaningful language. Look into natural language patterns and cliche patterns to differentiate the two.
2025 update:
According to Stanford's 2025 Language Perception Study, readers rate text as more authentic when it contains occasional redundancies and self-corrections.

Fix the Machinery-Like Even Tone of Voice

To transfer AI text to human written tone, you need to reflect on how human-like content should sound at all. Even more importantly, how does your tone of voice sound? AI detectors react to everything that is patterned, repetitive, and can be detected by advanced algorithms as a language formula.
Transforming AI generated content is easier when you work with phrases and sentence patterns. But how do you distinguish human writing from AI text by the tone of voice?
Let’s see the example of how to detect AI-generated content by its tone of voice in the introduction paragraph:
Example of AI-written text
Image 3: The “before” example of AI-written text
Machinery tone of voice in this example sounds:
  • Neutral and emotionless. AI text avoids taking strong positions.
  • Overly formal or balanced. Every idea is cautiously worded and symmetrical, in contrast to human writing.
  • Safe and agreeable. An AI tool rarely includes humour, surprise, bold opinions, or vivid imagery.
Let’s now see how transforming AI generated text would look like:
Transforming AI generated text
Image 4: The “after” example of a humanized AI-written text
To transform AI content, we only did a few things:
  • Replaced generic phrases with natural, conversational expressions
  • Swapped vague praise for specific, relatable examples, like recorder lectures, flashcards, and forums
  • Removed filler transitions like “It is important to note that…”
  • Let the paragraph flow more like spoken language
2025 update:
Modern AI text analyzers like Blaze.ai can now work with specific tone of voice and develop yours based on your preferences. You can even connect your Instagram or Facebook account so that it reads your natural tone of voice.

Check the AI Text for Hedging Language

One more step that helps to humanize AI text is detecting where the AI tool is hesitating to provide an ambiguous answer.
In practice, AI humanizer tools usually perform these actions to reduce the uncertainty:
  • AI detectors replace modal verbs. For instance, they change "may help" to "helps" if evidence supports it.
  • They mimic the certainty of well-researched human-like content. For example, by replacing "could potentially" with one strong verb.
  • They make AI texts only necessarily hesitant. The rule is to only hedge when uncertainty is necessary.
  • Replace speculative verbs. Human text converters usually use active rather than speculative verbs.
  • Fix the lack of facts from AI text tools. In particular, try to clarify limits in a direct sentence ("The study shows... but is limited by...").
  • AI humanizer tools aim for direct sources. They use citations or references in place of hedging.
What are the differences between AI writers and human content?
The research from the Journal of Language and Social Psychology shows that the key difference is that “AI-generated text had a more analytic style and was more affective, more
descriptive, and less readable than human-generated text.”

How to Make AI Text Undetectable, Quickly? AI Text Troubleshooting

Even with the best techniques, you might face challenges when humanizing AI text.
Let’s analyze the most common issues students can’t overcome even after applying the tips to humanize AI text.

Problem: AI Text Sounds Too Formal or Academic

Solutions:
  • Replace academic terms with everyday alternatives (e.g., "utilize" -"use")
  • Break up long sentences into shorter ones
  • Add transitional phrases that humans naturally use ( "actually," "basically")
“Overall, we find that it takes a few tries to get a good sample, with the number of tries depending on how familiar the model is with the context.” - OpenAI

Problem: Still Repetitive Sentence Structures and Predictable Patterns

Solutions:
  • Vary sentence beginnings deliberately
  • Mix short, punchy sentences with longer, more complex ones
  • Reorganize paragraphs to break predictable patterns

Problem: AI Content Sounds Too Perfect and Polished

Solutions:
  • Add strategic imperfections (occasional wordiness or redundancy)
  • Include thought progressions showing how ideas evolved
  • Use informal punctuation occasionally (dashes, ellipses...)

Conclusion

Humanizing AI-generated text is about infusing your words with the nuance, rhythm, and intention that only human perspective can bring. To identify the subtle signs of machine writing,
  • Experiment with different AI models
  • Keep an eye on typical tell-tale AI signs
  • Work on your tone of voice.
With each piece you write, you can transform even the most robotic draft into something that resonates with real people. That is the genuine meaning of a human touch. Of something no machine can yet perform.
Write better, research faster, study smarter with StudyPro
Your words, your ideas - strengthen with AI.

Frequently asked questions

Yes, it’s absolutely possible to humanize AI text. You need to make it sound more natural, emotionally resonant, and stylistically varied. These features make the content closer to how real people write and speak
To humanize AI text, revise generic phrases, vary sentence structure, and add specific details to your text. Also, use authentic voice and tone and remove repetitive or overly formal language.
The best tool is a skilled human editor, but you can also use tools like Grammarly, Hemingway Editor or StudyPro alongside manual rewriting to catch AI-like patterns.
Sources:
  • Better language models and their implications. (n.d.). https://openai.com/index/better-language-models
  • Markowitz, D. M., Hancock, J., & Bailenson, J. (2023). Linguistic Markers of Inherently False AI Communication and Intentionally False Human Communication: Evidence from Hotel Reviews. https://doi.org/10.31234/osf.io/mnyz8
  • Teaching AI to be more collaborative with humans without learning directly from them. AI at Meta. (n.d.). https://ai.meta.com/blog/teaching-ai-to-be-more-collaborative-with-humans-without-learning-directly-from-them/
AI for writing
Practical tips
Writing improvement

Stay Informed

Get the inside scoop with our latest news!