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 Lix Readability Formula was created in Sweden by a man named Carl-Hugo Björnsson in 1968. The formula first appeared in a book called the Läsbarhetsindex which translates to “readability”. All of the writing done about the formula, which he called “Lix” for short, was done in Swedish, so it didn’t get the same level of attention or fanfare as other readability formulas like Flesch-Kincaid.
In short, Björnsson had 162 different books rated for readability by teachers and student groups. These books included everything from fiction to technical literature and textbooks. He wanted to test his formula against various criteria to determine how well it held up in tests, so he measured it against things like sentence length, sentence complexity, unusual words and much more.
Whereas other formulas count syllables and unfamiliar words, this process doesn’t extend equally to other languages. Instead, Lix calculates the percentage of words with seven or more letters. In terms of sentences the formula works similarly to Flesch-Kincaid in that it calculates the average number of words per sentence with both words and sentences being weighed equally.
Lix didn’t suddenly morph into Rix but it’s nevertheless important to know about Lix because of how Rix eventually developed. Rix was created over ten years later by an Australian teacher named Jonathan Anderson. Anderson wanted to take the Lix formula and adapt it to grade levels.
In order to do so though, he had to study the validity of Rix. He did this through a variety of tests including cloze testing and determined that Lix was highly accurate. Validating the accuracy, he could now make some modifications and tweaks to help simplify the formula to a grade level designation which would in turn be simpler for teachers and librarians to understand.
The Rix readability formula simply takes the number of words divided by the number of sentences. The ending results match up almost perfectly with Lix
Rix truly shines when trying to determine the readability of text for educational purposes. Because of how exhaustively they’ve been tested, both Lix and Rix are ideal for various age ranges and grade levels. They can also be used to categorize books by difficulty.
But where the Rix readability formula truly shines is in non-English texts. Whereas many readability formulas use English as their basis, Lix (and ultimately Rix) has been tested on French, German and Greek texts to name a few. This makes it an excellent formula for measuring the readability of translated texts or texts in languages other than English.
Until recently, Lix was used primarily in the Scandinavian countries (owing to its origin there). However, with our ever more increasingly interconnected world, the Rix readability formula is starting to gain popularity in other parts of the world as well, particularly in schools that serve a large population of international students.
If you want to use the Rix readability formula for yourself, try out Originality.AI’s new readability tool. It leverages numerous different formulas to give you a complete picture of your content readability rather than pigeon-holing your content into a single scoring mechanism.
If you’re writing with Rix readability in mind, aim for a grade level of 8, or a Lix score of 40 or lower. You can use the Originality.AI readability checker as easily as you use the plagiarism checker or AI writing checker, and like all Originality tools, you can use them concurrently or on a case by case basis. This makes it a fast, efficient and user-friendly way to not only check work for plagiarism, but also check for AI-written content and measure the readability of your content.
Keep in mind that Rix and Lix are best suited for non-English languages. If you want to check the readability of your content in English, there are several readability formulas you can use. Try Originality.AI’s readability checker now!
Here is a list of all readability tests.
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!
Get insight into the reading age of political speeches. Find out which candidates use the lowest reading age, which ones alter the reading age based on where their speech is, and how political speeches have changed in recent times.
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