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.
In 2024, it has become increasingly more strenuous to come across a technology based company or conversation that is not somehow related to Artificial Intelligence (AI). Although not always recognized, it must be acknowledged that the main driver behind the current state of AI is a company called OpenAI. OpenAI, along with its current head, Sam Altman, has fiercely drawn mass attention and widespread discourse within the past year. The private research facility based in San Francisco has been developing many different unique and novel applications that leverage AI and generative technologies that allow users to generate images, text, and audio by inputting natural language into a model. The most popular of such applications is called ChatGPT.
ChatGPT has become such a disruptive force in a wide variety of fields that it has caused governments, schools/universities, and workplaces to evaluate the possible repercussions potentially brought on by the use of artificial intelligence. Our internal research (Source) has even uncovered that since the launch of ChatGPT, there has been a 72% increase in published papers being potentially written by AI. As OpenAI continues to disrupt the fields of machine learning and neural networks, we can see below the many underlying trends and statistics that have shaped the current research behemoth before us.
OpenAI, the research organization was co-founded by Elon Musk and investor Sam Altman and is backed by $1 billion in funding from Microsoft Corp (MSFT.O) (Source). Below we can explore the more acute details behind OpenAI’s founding:
OpenAI first opened its doors in the historic pioneer building located in the mission district of San Francisco California (Source) in 2016. Since then the company has grown exponentially and thus moved out to several new spaces, highlighted by the following:
Amongst ChatGPT, OpenAI offers a robust suite of machine-learning applications that allow users to interact with machine learning neural networks. The following list includes some of the most promising and innovative product offerings released by OpenAI:
Carrying on with exploring the many products offered by OpenAI, here is a brief look at some of the highlights when it comes to the technical capabilities of OpenAI’s application suite:
Since its inception in 2015, OpenAI has steadily rolled out novel innovative AI models that offer unique ways to interact with reinforcement learning algorithms. Their most successful and commonly used model is ChatGPT. Below is a timeline of the major milestones in ChatGPT’s and OpenAI’s history:
(Source)
OpenAI’s current corporate structure is one with many nuances, so to clear any confusion here are the main points surrounding the OpenAI corporate model:
After looking at OpenAI’s Corporate structure, it’s clear that some profits will eventually leave the OpenAI ecosystem and be repurposed outside the original core mission. As such, here are the finer details of OpenAI’s plans for profit distribution:
Now that we have better insight into who stands to profit from OpenAI’s success we can look at the financial record of the firm. Below are statistics (recent reports??) regarding OpenAI’s recent financial performance:
**Disclaimer: The financial figures and valuations presented in this report are based on available information and industry estimates. As the company under consideration is private, these figures should be regarded as speculative and subject to inherent uncertainties. Readers are advised to exercise caution and consider the speculative nature of the data provided, recognizing that actual financial conditions may differ from the presented estimates.**
**Disclaimer: The financial figures presented in the graphs below are based on the publicly available tax filings of OpenAI's non-profit division, as mandated by US law for non-profit organizations. However, it is important to note that OpenAI has recently established a private for-profit division, which is not obligated to disclose its financial information publicly.**
The following charts represent the tax filings filed by the non-profit division of OpenAI since 2016 (Source):
Looking deeper, we can ascertain how much of this revenue is being driven by the sales of mobile ChatGPT subscriptions since the mobile application was made publicly available on both the IOS and Android app stores in Q2 2023:
Although OpenAI has been largely successful in capturing market attention and increasing the size of their development team, it is inconceivable that the company would have reached the same heights without major funding along the way. The following are major events in the OpenAI capital funding journey:
**Disclaimer: Funding round valuations presented in this report are approximations derived from various sources. Readers should be aware of the speculative nature of these figures and exercise due diligence, recognizing that actual financial conditions may differ. **
As OpenAI currently plays one of the biggest roles in the AI space, looking at the trends within the AI market could shed light on OpenAI’s market potential in the future:
Along with OpenAI’s market potential, we can similarly take a look at the current stature OpenAI maintains through its extensive array of partnerships and business relationships. The following are some of the most prominent partnerships recently announced by OpenAI:
While ChatGPT can be a great and effective source of information, you shouldn’t rely on it entirely to construct content for you. Not only can it be easily caught by AI detection tools such as Originality.ai, but the information, in many cases, is not as consistent as human-written copy. If you’re pursuing an original, accurate, and truly relevant information piece, it’s best practice to use ChatGPT as a helper rather than a writer.
Recent technological implementations in ChatGPT’s generative style and sentence construction have been making AI content more difficult to detect. However, Originality.ai continues to excel at detecting AI-generated content and plagiarism.
We’ve put the Originality.ai AI detector to the test consecutively, by prompting ChatGPT with unique instructions each time. As a result, we’ve discovered that even when prompted to make the text sound as human as possible, Originality.ai still correctly detects that it’s AI-generated.
For the purpose of this test, we’ll be using the Originality.ai Standard 2.0.0 model for detecting ChatGPT text. Let’s get started!
For the first test, we prompted ChatGPT to generate text as it usually does, without adding specific or extra instructions to alter the uniqueness or quality of the text.
For the first test, we used the following prompt in ChatGPT:
[Prompt #1] - Write a short article (500-1000 words) on the best tourist destinations for 2024.
We received an output from ChatGPT totaling 1,059 words (6,826 characters) and covering six individual cities or tourist destinations. Let’s see how Originality.ai performs in detecting the content:
After a quick scan, the results are strong, stating that the content is likely AI with 99% confidence. The bright-red colored text highlighted in the list is most certainly detected as AI, and without a doubt, the Originality.ai detector passed the text successfully.
[Prompt #2] - Write a short article (500-1000 words) on the rise of AI machines in 2024.
The second prompt was slightly different. It prompted ChatGPT to construct a piece on artificial intelligence. Ruling out AI-generated content on artificial intelligence itself could be a little more challenging for general AI detectors, but certainly not Originality.ai.
This time, Originality.ai is almost certain of its verdict, stating that the content is likely AI but with 100% confidence this time. As you can see, almost the entirety of the text is highlighted in red, indicating the presence of AI content. For reference, the ChatGPT-generated piece we ran the Originality.ai AI detector on was 1,004 words in length or 6,960 characters.
Now, let’s make things a little bit more challenging for the Originality.ai tool by telling ChatGPT to make the article sound as human as possible!
In this case, telling ChatGPT to add unique ideas, refine the article’s structure or make the sentences sound more human could confuse some AI detectors.
So, we conducted a variety of tests with different prompts produced and then refined by ChatGPT to sound more human. Let’s start with the first prompt:
[Prompt #1] - Write a short article (500-1000 words) with an introduction on bitcoin and cryptocurrency trading. Make the article sound as human as possible and implement unique ideas that do not sound like AI.
We’ve received a 1,087-word (7,066 characters) output from ChatGPT for testing. Let’s check the results:
The Originality AI detector has once again ruled out the text as AI-generated with 100% confidence. Telling ChatGPT to generate human-sounding content did not improve the outcome, and Originality continued to highlight the majority of the text in red, flagging it as AI.
[Prompt #2] - Write a short article (500-1000 words) on an introduction to bitcoin and cryptocurrency trading. Make sure the text cannot be detected as AI-generated by online tools. Use unique generative technology to make the text sound as unique as possible.
Next, we attempted a different approach with prompt #2, telling ChatGPT to construct an article that is undetectable. We used the same theme for article #2. This time, ChatGPT’s output was 982 words in 6,830 characters. Let’s view the testing result:
As noted by the scan result, the text was also recognized as AI-generated with 100% confidence on Originality’s end.
[Prompt #3] - Write a short article (500-1000 words) on an introduction to bitcoin and cryptocurrency trading. Humanize the content and ensure it has 0% plagiarism and cannot be recognized by AI detection tools. Use a conventional tone, provide valid responses, and mirror the spontaneity of a human dialogue.
Then, we attempted to make ChatGPT mirror human dialogue as much as possible during the third test. Let’s verify the results:
The last test of 893 words (6,000 characters) also verifies Originaility’s accuracy. The outcome is evident; the Originality.ai AI detector demonstrated 100% confidence the content was AI-generated.
To wrap things up, it’s exceptionally difficult to produce undetectable AI-generated content, especially if you’re using the Originality.ai detector. Regardless of whether you tell ChatGPT to humanize the content or not, the AI’s generated text is recognizable by the Originality.ai detector.
After reviewing OpenAI’s market potential and existing partnerships, we can look at OpenAI’s future plans to determine where the company intends to be within the next few years:
The current buzz surrounding OpenAI and its many product offerings is self-evident in their constant appearance in headlines but to serve as further proof here are some of the most recent traffic statistics behind OpenAI (Source):
Around 3 in 4 users (about 78.18%) access ChatGPT via direct search, leaving the remaining 16.01% to organic traffic (from search), 0.51% to email, or 2.87% to social media (Source). through other web traffic sources:
(Source)
Similarly, this next graph illustrates the traffic driven to OpenAI by different social media channels (Source):
As of August, 2024 (latest available data), the most common OpenAI user can be described by the stats below;
Male- 56.01%
Female- 43.99%
(Source)
18 - 24 = 27.98%
25 - 34 = 33.45%
35 - 44 = 18.46%
45 - 54 = 11.14%
55 - 64 = 5.57%
65+ = 3.4%
(Source)
(Source)
United States: 17.81%
India: 10.76%
Brazil: 6.97%
United Kingdom: 3.58%
Canada: 2.86%
Others: 58.02%
(Source)
(Source)
OpenAI has remained steadfast in that personal information surrounding users is not to be disseminated or sold to contractors, however, other information submitted by users that is not deemed to be “personal or sensitive” may be transferred to third parties. Please review below the following excerpts from OpenAI’s privacy policy (last updated on November 14, 2023):
OpenAI dedicates itself to maintaining high levels of security for its entire application suite. As a core part of their mission, OpenAI institutes practices of external auditing and compliance to ensure that users are protected in using their products. The following points highlight OpenAI’s dedication and strategy regarding security:
Although OpenAI has been heralded as the figurative king of the hill within the generative AI space, that doesn’t mean that other competitors are not vying for the crown. Look below to see some of the most prominent OpenAI competitors:
At the crux of OpenAI’s business model is the use of AI LLM (Large Language Model). Using this innovative technology comes with its own benefits and drawbacks. Below are some pros and cons to the utilization of these models (Source):
Advantages: Saved time, enhanced efficiency and accuracy, more-personalized online experiences
Disadvantages: Lack of contextual awareness, Potentially damaging bias, Harm caused by misinformation, Lack of transparency
OpenAI continues to remain at the center of media attention while being a point of heated contention among AI detractors and enthusiasts. Since the research lab’s founding and the public release of its first AI product, OpenAI Gym, OpenAI has maintained its focus on developing the state of AI and steering it in ways that “benefit all of humanity”. Although that vision may have been somewhat contorted through varying funding rounds and a partial move towards a for-profit corporate structure with the creation of OpenAI LP, we are yet to see whether or not applications like ChatGPT will have meaningful and sustainable positive impacts on all levels of society. Either way, we will surely have much more to analyze and discuss if OpenAI is successful in rolling out its future products like GPT-Next and GPT-5.
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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