{"id":7184,"date":"2020-02-25T01:47:32","date_gmt":"2020-02-24T17:47:32","guid":{"rendered":"https:\/\/www.vappingo.com\/word-blog\/?p=7184"},"modified":"2026-02-25T12:54:52","modified_gmt":"2026-02-25T12:54:52","slug":"rewriting-tools-and-article-spinners-dont-work","status":"publish","type":"post","link":"https:\/\/www.vappingo.com\/word-blog\/rewriting-tools-and-article-spinners-dont-work\/","title":{"rendered":"The Indisputable Proof Rewriting Tools and Article Spinners Simply Don\u2019t Work"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7267 size-full\" src=\"https:\/\/www.vappingo.com\/word-blog\/wp-content\/uploads\/2020\/02\/Do-rewriting-tools-work_.png\" alt=\"The definitive proof that proofreading tools don't work\" width=\"560\" height=\"315\" \/><\/p>\n<p><strong>Rewriting tools<\/strong>, which are also known as article spinners, article rewriters, and paraphrasing tools, are designed to rewrite existing articles and website content so that it is completely unique.<\/p>\n<p>A simple search for \u201crewriting tools\u201d renders an <a href=\"https:\/\/www.google.com\/search?ei=aqlXXtiiCcPxxgOVuI_4Aw&amp;q=rewriting+tool&amp;oq=rewriting+tool&amp;gs_l=psy-ab.3..0i273j0l6.6373.8671..8936...1.1..1.455.1971.2j10j1j0j1......0....1..gws-wiz.....8..0i71j0i362i308i154i357j0i273i70i249j0i67j0i131.-O_p8kySRJ4&amp;ved=0ahUKEwjY_7_m0fHnAhXDuHEKHRXcAz8Q4dUDCAo&amp;uact=5\" target=\"_blank\" rel=\"noopener\">estimated 17,900,000 results<\/a>.<\/p>\n<p>Woah!<\/p>\n<p>Granted, not all of these will be article spinners. However, we\u2019re left with zero doubt that there are tons of rewriting tools on the market.<\/p>\n<p>Tons.<\/p>\n<p>This, in itself, should ring alarm bells.<\/p>\n<p>Software that is worth its salt, i.e., achieves the job it claims to achieve, isn\u2019t readily available. The development costs are enormous, and it takes big companies years and years of development to refine tools of that nature.<\/p>\n<p>We know language is complex.<\/p>\n<p>Even those companies that do invest wads of cash in the development of language-based software and applications find it very, very difficult to produce tools that are accurate.<\/p>\n<p>One prime example of such an organization is Google.<\/p>\n<p>Google is one of the biggest companies in the world. It has plenty of cash to spare. However, we all know that you couldn\u2019t rely on the Google Translate app alone to communicate with locals in a foreign country.<\/p>\n<p>It\u2019s great. But Google would be the first to admit that it simply isn\u2019t 100% reliable. And that\u2019s after a huge investment.<\/p>\n<p>What the situation with Google Translate tells us\u2014and remember that this is highly sophisticated software that was only possible through millions of investment\u2014is that a machine can produce a high-level translation of a given text that may communicate the general meaning. However, due to the high risk of mismatches, it will not provide anything that is specific and reliable.<\/p>\n<p>And it is the same high risk of mismatches that means you can\u2019t rely on the inputs of rewriting tools and article spinners.<\/p>\n<p>The organizations that are churning out language spinning software don\u2019t have access to the level of cash that is available to Google. As such, the offerings they produce are nowhere near sophisticated enough to process the complexities of the English language and <a href=\"https:\/\/www.vappingo.com\/word-blog\/how-to-paraphrase\/\">paraphrase language effectively<\/a>.<\/p>\n<p>But don\u2019t just take our word for it. Let\u2019s take a look at what rewriting tools and article spinners do in more depth.<\/p>\n<p>Read our guide to the <a href=\"https:\/\/www.vappingo.com\/word-blog\/whats-the-difference-between-article-spinning-and-article-rewriting\/\">difference between article spinning and article rewriting<\/a> if you don&#8217;t quite understand what article spinning involves.<\/p>\n<h2>Frequently Asked Questions About Rewriting Tools<\/h2>\n<h3>What are rewriting tools?<\/h3>\n<p>Rewriting tools, software, and applications typically offer to rewrite text so it is entirely unique. This involves completely removing all plagiarism.<\/p>\n<p>They are available in a variety of forms.<\/p>\n<p>Some are subscription-based packages, while others are available online completely free of charge.<\/p>\n<p>Rewriting tools vary in levels of sophistication. Some require the users to input potential synonyms for the words they want to change (why bother when you can use the thesaurus in Word much more efficiently?), while others claim to be AI-based applications that can perform the function of the human brain.<\/p>\n<p><strong>How do rewriting tools work?<\/strong><\/p>\n<p>Rewriting tools and article spinners are pretty much souped-up thesaurus applications.<\/p>\n<p>Again, the tasks performed vary in levels of sophistication, but article rewriters operate by replacing words and well-known phrases with a different word or phrase.\u00a0 Take a look at our guide to <a href=\"https:\/\/www.vappingo.com\/word-blog\/how-to-rewrite-articles\/\">how to rewrite articles<\/a> to learn more.<\/p>\n<p>Note, in the sentence above, I used the word <em>different<\/em>, not <em>equivalent<\/em>.<\/p>\n<p>And this is where the problem lies.<\/p>\n<p>The providers of rewriting software claim the tool churns out a new set of text that carries the same meaning as the original.<\/p>\n<p>As we will see later, this is typically NOT the case.<\/p>\n<p><strong>Are rewriting tools reliable?<\/strong><\/p>\n<p>Short answer: No.<\/p>\n<p>Long answer:<\/p>\n<p>There are currently three fundamental issues with rewriting software, regardless of the underlying technologies.<\/p>\n<ul>\n<li>As described above, machine-driven translators have a high chance of getting things wrong. Around 80% of the time, the suggested word replacements they generate will be completely inaccurate. This isn\u2019t necessarily an issue for someone who knows the <a href=\"https:\/\/www.vappingo.com\/word-blog\/5-things-angry-birds-can-teach-you-about-writing-english-well\/\">English language well<\/a>. But if you\u2019re an ESL speaker, you may not actually know that the words are wrong. Primarily, the process relies on the user having a strong understanding of the intricacies of the English language, which many users lack.<\/li>\n<li>As you can\u2019t rely on the accuracy, viability, or reliability of the outputs of rewriting tools, you have to extensively edit and proofread the output. This is incredibly time-consuming. In fact, it\u2019s a complete waste of time. Your efforts would be better invested simply rewriting the article, essay, or <a href=\"https:\/\/www.vappingo.com\/word-blog\/ideas-blog-post\/\">blog post<\/a> from scratch for yourself.<\/li>\n<li>The majority of spinning tools do not remove sufficient plagiarism. Most of the time, the similarity score after spinning is still too high for search engines to treat the content as unique, and the text certainly won&#8217;t pass Copyscape or Turnitin. So, again, you have wasted your time and, in some cases, money. If this is an issue for you, take a look at our guide to <a href=\"https:\/\/www.vappingo.com\/word-blog\/how-to-rewrite-an-article-without-plagiarizing\/\">how to rewrite articles without plagiarism<\/a>.<\/li>\n<\/ul>\n<p>Let\u2019s look at some incidences of these issues in action.<\/p>\n<p>For the purposes of this article, we will not refer to the names of the companies or applications that were used for these examples; we\u2019re not in the business of flinging mud or damaging reputations.<\/p>\n<p>Our objective here is to show you what the problems are with rewriting tools so you can then make an informed decision as to whether they suit your needs.<\/p>\n<p>You can always try a few sample texts for yourself.<\/p>\n<p>The text we used for this case study was as follows:<\/p>\n<blockquote><p>What the situation with Google Translate tells us\u2014and remember that this is highly sophisticated software that was only possible through millions of investment\u2014is that a machine can produce a high-level translation of a given text that may communicate the general meaning. However, due to the high risk of mismatches, it will not produce anything that is specific and reliable.<\/p><\/blockquote>\n<h2>Rewriting Tool Case Studies<\/h2>\n<h3>Case Study One: A Free Rewriting Tool<\/h3>\n<p>This example text was run through the application offered by the first company that appeared in a search for a \u201cfree rewriting tool.\u201d<\/p>\n<p>Here\u2019s the exact output:<\/p>\n<blockquote><p>What the situation with Google Translate tells us\u2014and\u00a0<strong>bear in mind<\/strong>\u00a0that\u00a0<strong>this is often<\/strong>\u00a0be}\u00a0<strong>extremely<\/strong>\u00a0<strong>subtle<\/strong>\u00a0<strong>code<\/strong>\u00a0that was\u00a0<strong>solely<\/strong>\u00a0<strong>potential<\/strong>\u00a0through\u00a0<strong>uncountable<\/strong>\u00a0investment\u2014is that a machine can\u00a0<strong>turn out<\/strong>\u00a0a high-level translation of a given text\u00a0<strong>that will<\/strong>\u00a0communicate\u00a0<strong>the overall<\/strong>\u00a0<strong>which means<\/strong>. However,\u00a0<strong>thanks to<\/strong>\u00a0the high risk of mismatches,\u00a0<strong>it&#8217;ll<\/strong>\u00a0not\u00a0<strong>turn out<\/strong>\u00a0<strong>something<\/strong>\u00a0<strong>that&#8217;s<\/strong>\u00a0specific and reliable.<\/p><\/blockquote>\n<h4>Remaining plagiarism:<\/h4>\n<p>61.6%, of which 50% was identical.<\/p>\n<h4>Issues:<\/h4>\n<ul>\n<li>The text simply doesn\u2019t make sense in some places. For example, \u201cthe overall which means.\u201d The lack of adherence to grammatical structure means that the output is meaningless.<\/li>\n<li>The meaning in one place is completely changed: \u201csubtle code\u201d means something entirely different from \u201csophisticated software.\u201d This is because the program has mistakenly provided a synonym for the word <em>sophisticated<\/em> that is based on a different use of the word than that intended.<\/li>\n<li>The plagiarism level is still 61.6%, 50% of which is completely identical. This is too high to pass as unique on Copyscape or Turnitin.<\/li>\n<\/ul>\n<h4>Summary:<\/h4>\n<p>Using this tool would be a complete waste of time and effort. In addition to being presented with text that is meaningless in some cases and inaccurate in others, the changes are not sufficient to pass a plagiarism test or search engine requirement for unique content.<\/p>\n<h3>Case Study Two: An AI Article Spinner<\/h3>\n<p>For this example, we were interested in observing the output of a tool that claimed to be based on artificial intelligence comparable to the human mind. As such, we ran the sample text through the first rewriting application that appeared on a Google search for the phrase \u201cAI rewriting tool.\u201d<\/p>\n<p>Here\u2019s the output:<\/p>\n<blockquote><p>What the situation with Google Translate tells us \u2014 and remember this is highly sophisticated software that has been possible only through millions of investments\u2014 is that a machine can produce a high-level translation of a given text that can convey the general meaning. However it will not produce anything that is specific and reliable due to the high risk of mismatches.<\/p><\/blockquote>\n<h4>Remaining plagiarism:<\/h4>\n<p>92.2%, of which 80% was identical.<\/p>\n<h4>Issues:<\/h4>\n<ul>\n<li>The text contains a grammatical error in terms of the use of the word <em>investment<\/em>.\u00a0 This error resulted from the fact that the machine isn\u2019t capable of understanding the context of the language in which it was used. Google may have executed millions of separate investments in their software; however, it\u2019s highly unlikely. The software has treated the word<em> investment<\/em> as a countable noun; e.g., investment tools. However, in the sentence provided, it was referenced as an activity; i.e., the holistic act of investing money.<\/li>\n<li>The software has incorrectly removed a comma.<\/li>\n<li>The rest of the text reads well. But there\u2019s a reason for that: It is pretty much exactly the same as the text provided. With a plagiarism content of 99.2% match (of which 80% was identical), using this tool would be a complete and utter waste of time. It simply doesn\u2019t do what it claims to do.<\/li>\n<\/ul>\n<h3>Case Study Three: A Paid Membership Rewriter<\/h3>\n<p>For this example, we searched for a tool that was available for a fee. The assumption here was that software that users need to pay for to access would produce better results. Here\u2019s what happened.<\/p>\n<h4>Output:<\/h4>\n<blockquote><p>What Google Translate tells us\u2014and\u00a0<strong>keep in mind<\/strong>\u00a0that\u00a0<strong>that is<\/strong>\u00a0highly\u00a0<strong>sophisticated<\/strong>\u00a0<strong>software program<\/strong>\u00a0that was\u00a0<strong>simplest<\/strong>\u00a0<strong>feasible<\/strong>\u00a0through\u00a0<strong>thousands and thousands<\/strong>\u00a0of investment\u2014is that a\u00a0<strong>machine<\/strong>\u00a0can produce a high-<strong>level<\/strong>\u00a0translation of a given\u00a0<strong>text<\/strong>\u00a0that may\u00a0<strong>talk<\/strong>\u00a0<strong>the general<\/strong>\u00a0meaning. However,\u00a0<strong>due to<\/strong>\u00a0the high\u00a0<strong>hazard<\/strong>\u00a0of mismatches, it will\u00a0<strong>no longer<\/strong>\u00a0produce anything\u00a0<strong>that is<\/strong>\u00a0<strong>particular<\/strong>\u00a0and reliable.<\/p><\/blockquote>\n<h4>Remaining plagiarism:<\/h4>\n<p>80.4%, of which 69.6% was identical.<\/p>\n<h4>Issues:<\/h4>\n<ul>\n<li>Again, we have <a href=\"https:\/\/www.vappingo.com\/word-blog\/top-10-grammar-issues-for-esl-thesis-writers\/\">grammar issues<\/a> abound. Some of the grammar is entirely amiss\u2014for example, \u201csimplest feasible,\u201d while words are missing elsewhere, \u201ckeep in mind that this is highly sophisticated software program.\u201d<\/li>\n<li>In other places, the text is meaningless. What does \u201ctalk the general meaning\u201d actually mean? Zilch to a native English speaker.<\/li>\n<li>Again, the tool misunderstood the intended meaning of some words. In this case, \u201crisk\u201d is not quite interchangeable with \u201chazard.\u201d<\/li>\n<li>With a plagiarism level of 80.4%, of which 69.6% was unique, the paid-for rewriting tool didn\u2019t even produce the lowest degree of similarity. Again, the plagiarism was still too high to get past Copyscape, Turnitin, or the algorithms that Google uses to detect unique content.<\/li>\n<\/ul>\n<p><strong>Summary: <\/strong><\/p>\n<p>Despite the producer&#8217;s claims, even the most expensive rewriting tool could not produce flawless spun content. In fact, it couldn\u2019t even produce unique content, let alone text that is grammatically sound and cohesive.<\/p>\n<p>So you may be wondering if it is even possible to rewrite text so that it is unique, grammatically sound, and conveys a comparable meaning to the source file.<\/p>\n<p>It is.<\/p>\n<p>But for that, you need a human brain.<\/p>\n<h3>Case Study Four: Human Rewriting<\/h3>\n<p>For the final case, we asked a <a href=\"https:\/\/www.vappingo.com\/Rewriting-Services\/\">human rewriter<\/a> to paraphrase our text. Here\u2019s what we ended up with:<\/p>\n<blockquote><p>The case of Google Translate provides a prime example of the limitations of language processing software. Despite the significant investment that has been made in this highly complex tool, it is only capable of generating a translation that conveys the high-level meaning of a phrase or paragraph. Due to the significant risk of translation and word-mismatch errors, it is unable to produce outputs that users can 100% rely on.<\/p><\/blockquote>\n<h4>Remaining plagiarism:<\/h4>\n<p>0%<\/p>\n<h4>Issues:<\/h4>\n<p>None.<\/p>\n<h4>Summary:<\/h4>\n<p>Computers are no rival for a human when it comes to rewriting text.<\/p>\n<p>Here\u2019s the key thing you need to know here: These rewriting tools may serve a purpose for some people. However, they shouldn\u2019t\u2014and can\u2019t\u2014be relied upon.<\/p>\n<p>Yes, some spinners and rewriting tools are better than others.<\/p>\n<p>As such, if you really insist on using them, you\u2019ll need to do some research to find out which apps produce the most reliable results. In addition to taking up valuable time, this will be very difficult if you\u2019re not a native English speaker or don\u2019t have an excellent grasp of grammar.<\/p>\n<p>However, if you have plenty of time to edit and review the generated text, they may work for you.<\/p>\n<p>The better option is to rewrite the text yourself. In the majority of cases, it will actually be quicker.<\/p>\n<p>If you\u2019re looking for a really professional job, use a human rewriting service. Human rewriters can give you a fresh perspective by combining several pieces of content. This will allow you to create a new article or blog post that isn\u2019t merely the plagiarized work of others.<\/p>\n<p>You\u2019ll get great results and produce articles specifically tailored to your brand that actually convert customers as opposed to meaningless regurgitated spun content that turns visitors to your website off.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rewriting tools, which are also known as article spinners, article rewriters, and paraphrasing tools, are designed to rewrite existing articles and website content so that it is completely unique. A simple search for \u201crewriting tools\u201d renders an estimated 17,900,000 results. Woah! Granted, not all of these will be article spinners. However, we\u2019re left with zero &#8230; <a title=\"The Indisputable Proof Rewriting Tools and Article Spinners Simply Don\u2019t Work\" class=\"read-more\" href=\"https:\/\/www.vappingo.com\/word-blog\/rewriting-tools-and-article-spinners-dont-work\/\" aria-label=\"More on The Indisputable Proof Rewriting Tools and Article Spinners Simply Don\u2019t Work\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-7184","post","type-post","status-publish","format-standard","hentry","category-editing"],"_links":{"self":[{"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/posts\/7184","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/comments?post=7184"}],"version-history":[{"count":2,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/posts\/7184\/revisions"}],"predecessor-version":[{"id":10718,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/posts\/7184\/revisions\/10718"}],"wp:attachment":[{"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/media?parent=7184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/categories?post=7184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vappingo.com\/word-blog\/wp-json\/wp\/v2\/tags?post=7184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}