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.
File compare – Text comparison between files is a breeze with our tool. Simply select the files you would like to compare, hit “Upload” and our tool will automatically insert the content into the text area, then simply hit “Compare” and let our tool show you where the differences in the text are. By uploading a file, you can still check the keyword density in your content.
Comparing text between URLs is effortless with our tool. Simply paste the URL you would like to get the content from (in our example we use a fantastic blog post by Sherice Jacob found here) hit “Submit URL” and our tool will automatically retrieve the contents of the page and paste it into the text area, then simply click “Compare” and let our tool highlight the difference between the URLs. This feature is especially useful for checking keyword density between pages!
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.
The rise of AI-generated text has had many benefits. It has helped people speed up their content planning process, allowed people to learn more about their chosen topic, and opened up a whole new group of people to learning, reading, and producing content.
But it has also led to many issues. One of the biggest issues is the use of AI in academic work.
That's where AI detectors come into play. Here, we will be taking a look at Typset's AI detection tool to see whether it can detect AI-generated content.
Here, we will focus on the following:
Typeset is a search engine curated specifically for scientific results. The AI detector focuses on identifying AI-generated text to ensure your research paper is backed by real human sources.
One other tool that Typeset offers is an AI content detector to help you identify whether or not a piece of academic work is AI-generated or not.
Typeset (also known as Scispace), has risen in popularity due to the rise in AI content appearing across academic work, beginning to tarnish academic integrity.
Scispace's AI detector attempts to bring that integrity back by identifying content that is AI written so that you know what you are writing is either written by a human or generated by AI
But does it work?
All that sounds great, right?
Well, it is, but only if it works! So, let's put the Typeset AI detector to the test alongside the Originality.ai detector, which will be used as a reference point.
As with all articles and tests we conduct at Originality.ai, all of the research is conducted first-hand to ensure the results are open, honest, and fair. We never take payments for these tests to ensure the results are always completely impartial, giving you the clearest possible answers.
For this test, we will create a couple of different examples of AI-generated text via ChatGPT, the most popular AI writing tool.
We will then take this content and run it through the Originality.ai and Typeset AI detection tools to see if they can identify that the content is AI-generated.
For this test, as Typeset's detector is designed specifically for scientific work, we will focus on research papers first and then look at how the tool performs for marketing content as a secondary text.
As Typeset focuses specifically on being the most accurate AI detector for scientific papers, it's only fitting that our first test is an AI-generated research paper. Let's get ChatGPT to write a research paper on the impact of commercial flights on our planet's ecosystem.
Here is our ChatGPT prompt:
Research Paper Prompt:
"Title: Navigating the Skies: A Holistic Analysis of the Environmental Impact of Commercial Flights
Prompt:
Explore and elucidate the multifaceted impact of commercial flights on the Earth's ecosystem. Address key aspects such as greenhouse gas emissions, air and noise pollution, effects on the ozone layer, biofuel utilization, regulatory frameworks, ecosystem resilience, and case studies of affected regions. Synthesize current research findings, analyze trends, and propose recommendations for sustainable aviation practices. Aim for a well-balanced and comprehensive perspective in evaluating the ecological footprint of commercial flights."
Here's what we got in return:
Now, let's see what our AI detection tools say about this content.
Originality.ai Score: 100% AI-generated
Typeset Score: 42% AI-generated
Worryingly, while Originality.ai detects the content as 100% AI-generated, Typeset believes there is only a 42% chance of it being AI-generated.
Okay, so Typeset might not be the best AI or plagiarism detection software for research papers, but how does it perform for marketing-related content? While that might not be its original purpose, if the tool turns out to be great at detecting AI in marketing promotions, then the tool will be very useful.
For this test, let's say we have created an eco-friendly water bottle that helps offset some of the emissions created by other activities, such as commercial flights.
Here is our ChatGPT prompt:
"Prompt for ChatGPT:
Title: Eco-Friendly Water Bottles as Agents of Change: Mitigating Environmental Impact and Offsetting Emissions
Prompt:
Explore the concept of eco-friendly water bottles as a means to offset environmental impacts, specifically in the context of activities with significant carbon footprints, such as commercial flights. Investigate the design, materials, and production processes of these bottles with a focus on sustainability and carbon neutrality. Examine the potential role of these bottles in encouraging eco-conscious consumer behavior and contributing to broader environmental initiatives. Provide insights into the mechanisms by which such products can help offset emissions and contribute to a more sustainable future. Consider the challenges, opportunities, and innovations in the development and promotion of eco-friendly water bottles as environmental solutions."
Here's what ChatGPT gave us:
Originality.ai Score: 100% AI-generated
Typeset Score: 13% AI-generated
Unfortunately, while Originality.ai detects the content as 100% AI-generated, Typeset performs a little worse on this test, stating that it is only 13% AI-generated.
Based on these two tests, it is important that you do some much more detailed research before trusting Typeset to detect AI content for you.
You can check AI-written content in Typeset for free, but you have a maximum input limit of 1,000 words.
Typeset is a search engine curated specifically for scientific results. The AI detector focuses on identifying AI-generated text to ensure your research paper is backed by real human sources.
While some AI tools claim to make your content bypass AI detection reports, the best AI detector will always unearth it. The best route forward is to use AI writing assistants sparingly, always adding your own thoughts and opinions to anything you create.
There is no denying that AI models are incredibly powerful, but that doesn't mean we should completely rely on them. Instead, we should use AI writers to provide us with actionable insights for research papers before writing in-depth analyses ourselves to ensure we have authenticity and accuracy in the content we produce.
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!
