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Keyword density helper – This tool comes with a built-in keyword density helper in some ways similar to the likes of SurferSEO or MarketMuse the difference being, ours is free! This feature shows the user the frequency of single or two word keywords in a document, meaning you can easily compare an article you have written against a competitor to see the major differences in keyword densities. This is especially useful for SEO’s who are looking to optimize their blog content for search engines and improve the blog’s visibility.
You can also easily compare text by copying and pasting it into each field, as demonstrated below.
Ease of use
Our text compare tool is created with the user in mind, it is designed to be accessible to everyone. Our tool allows users to upload files or enter a URL to extract text, this along with the lightweight design ensures a seamless experience. The interface is simple and straightforward, making it easy for users to compare text and detect the diff.
Multiple text file format support
Our tool provides support for a variety of different text files and microsoft word formats including pdf file, .docx, .odt, .doc, and .txt, giving users the ability to compare text from different sources with ease. This makes it a great solution for students, bloggers, and publishers who are looking for file comparison in different formats.
Protects intellectual property
Our text comparison tool helps you protect your intellectual property and helps prevent plagiarism. This tool provides an accurate comparison of texts, making it easy to ensure that your work is original and not copied from other sources. Our tool is a valuable resource for anyone looking to maintain the originality of their content.
User Data Privacy
Our text compare tool is secure and protects user data privacy. No data is ever saved to the tool, the users’ text is only scanned and pasted into the tool’s text area. This makes certain that users can use our tool with confidence, knowing their data is safe and secure.
Compatibility
Our text comparison tool is designed to work seamlessly across all size devices, ensuring maximum compatibility no matter your screen size. Whether you are using a large desktop monitor, a small laptop, a tablet or a smartphone, this tool adjusts to your screen size. This means that users can compare texts and detect the diff anywhere without the need for specialized hardware or software. This level of accessibility makes it an ideal solution for students or bloggers who value the originality of their work and need to compare text online anywhere at any time.
Students report that college admissions are one of their biggest sources of stress, and a study by the University of Wisconsin-Madison found that 46.9% of college students use LLMs in coursework.
As a result, colleges may use AI detectors and other tools to identify AI in schoolwork and for research — but do college admissions check for AI?
Yes, college admissions check for AI, although AI detection policies can vary by college.
Read on to learn why college admissions may be concerned about AI-written application essays and how they check for AI in the admissions process.
Admissions officers review thousands of applications each year, and part of that process may involve checking for AI in personal essays.
Here are some of the reasons college admissions may check for AI as part of their review process:
A mainstay of college applications, the personal essay is one of the best ways for admissions officers to get to know each prospective student. It’s a way for applicants to show off their skills and experience.
“Be authentic” is first on Harvard’s list of tips for writing the perfect college essay, which is something that AI-generated text just can’t provide in a personal essay.
AI-generated text and images may seem like they’re everywhere these days, but this technology still isn’t equally accessible to everyone. This can give students with access to advanced AI tools an unfair advantage.
For example, AI-savvy students can use the technology to write, edit, and perfect their essays. Checking for AI use enables admissions officers to level the playing field by ensuring that everyone is being judged for their own, original work.
The International Center for Academic Integrity lists six fundamental values of academic integrity, including honesty and fairness.
With most universities and colleges having an academic integrity policy, admissions officers aim to uphold these ethical standards by ensuring students submit original work in their applications.
Many colleges and university admissions offices use a combination of technology and human reviewers to check for AI in applications.
According to a survey by Intelligent, about 50% of higher education institutions currently use AI in the admissions process, with more than 23% planning to implement it in the future.
Several AI tools have emerged in response to this demand for AI detection in education.
A lot goes into how AI content detection works, but generally speaking, these tools use advanced algorithms and machine learning to determine the likelihood of AI-written text.
For example, let’s say an admissions officer runs an applicant’s essay through an AI detector. At the end of the scan, they receive an AI detection score of 10% Original and 90% Likely AI, meaning the tool has 90% confidence that the essay likely contains AI-generated content.
Note the use of “Likely AI” there. According to several AI detection accuracy studies, AI detectors like the Originality.ai AI Checker have high efficacy. However, AI detectors can produce false positives and shouldn’t be the only way to evaluate academic or educational standing.
In case an AI detector flags an essay with a false positive, students can use a free AI Detector Chrome Extension to show their writing process from start to finish in Google Docs.
Experienced college admissions officers have sorted through hundreds, if not thousands, of applications throughout their careers. So, they may be able to tell if something seems “off” with an essay.
Reporters from The Washington Post put this to the test in their article Can ChatGPT Get Into Harvard? They presented an Ivy League college admissions counselor with ChatGPT-generated and human-written essays to see if he could tell the difference.
Well, it turns out that he could identify the AI essays by the following signs:
In addition to these signs, admissions officers often use triangulation for a more holistic view of student applications. They look for themes, correlations, and consistency throughout their essays, recommendation letters, and interviews to see if everything matches up.
However, AI-generated text can be difficult to manually identify in many cases.
A separate study from the Canadian Society of Plastic Surgeons found that evaluators successfully differentiated between AI and human medical residency applications 65.9% of the time. Read our study, Can Humans Detect AI-Generated Text? to learn more.
Students should learn the AI policy of every college on their list before using it at all, and if policies aren’t clear ask the admissions office for more clarity. There’s nothing quite like getting into college on your own merit!
Interested in learning more about AI detection for education? Check out Originality.ai for educators.
No, that’s one of the benefits, only fill out the areas which you think will be relevant to the prompts you require.
When making the tool we had to make each prompt as general as possible to be able to include every kind of input. Not to worry though ChatGPT is smart and will still understand the prompt.
Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.
Vahan Petrosyan
searchenginejournal.com
I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.
Tom Demers
searchengineland.com
After extensive research and testing, we determined Originality.ai to be the most accurate technology.
Rock Content Team
rockcontent.com
Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.
Felix Rose-Collins
ranktracker.com
ChatGPT lacks empathy and originality. It’s also recognized as AI-generated content most of the time by plagiarism and AI detectors like Originality.ai
Ashley Stahl
forbes.com
Originality.ai Do give them a shot!
Sri Krishna
venturebeat.com
For web publishers, Originality.ai will enable you to scan your content seamlessly, see who has checked it previously, and detect if an AI-powered tool was implored.
Industry Trends
analyticsinsight.net
Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.
Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.
Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.
String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.
The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.
Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.
String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.
Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.
The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.
With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.
Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.
We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.
There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.
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This table below shows a heat map of features on other sites compared to ours as you can see we almost have greens across the board!
ContentDetector.AI is a free online tool that identifies any text material that is AI-generated, including Chat GPT, GPT 3, and GPT 4 written content, and provides an estimated percentage score based on the likelihood that the content was generated by AI tools or software. It also includes a word count feature. The tool is useful
Even our own AI detector is not perfect, and can produce false positives. These false positives can be very painful for anyone who creates original content — whether you’re a student wrongly accused of using ChatGPT by TurnItIn or GPTZero or a writer who received a false positive from Originality.ai.
