Find Keywords in Text

It involves recognizing the relevant and commonly used words or phrases. The identified phrases are important as they assist in the searching process of any related information to the topic. On top of that, these phrases make it easy for readers to understand the main purpose of the content at a glance. By doing this you will have been able to optimize your text for SEO and make it follow closely with the user search intent. This process becomes easier when using an instrument that identifies keywords in the text since it analyses the content and gives tips on how it can be improved or optimized.

Although less significant nowadays, it still has its place in SEO. Search engines give priority to content quality and user intent before looking at keyword density. If you overdo keywords, i. e. engage in keyword stuffing, then your position will only worsen. Create useful, natural content rather than stuffing keywords into it. Identifying important words or phrases within a text can ensure your text is well-optimized without overloading it with repeated terms.

These figures are not fixed but in most cases: one-word keywords (1-2%), two-word keywords (0. 5-1. 5%), three-word keywords (0. 3-1%). Nevertheless, quality, relevance, and readability take precedence over this rule. Avoid stuffing in keywords within your text; instead, place them naturally so that they can make sense to any reader and search engine alike.

Not necessarily. Highlighted keywords in red or yellow suggest overuse or underuse as per keyword density guidelines, but not every such word is essential in this case. Pay attention to the ones which play the biggest role in your content and relevance to user intent. If a non-essential term has been flagged but it won’t affect readability or SEO goals, then you can safely overlook it. Above all, ensure that you produce interesting and high-quality content with due regard to certain key phrases.

It ensures that you maintain natural language while helping you use your keywords appropriately. Such tool identifies if there are too many or too few instances of high frequency words that could disrupt flow and be considered stuffing by search engines. Through this kind of optimization, your content will not only rank better but also appear interesting to users.

To calculate keyword repetition, determine the frequency of a certain keyword in a text, divide it by the total number of words in the text, then multiply by 100. For instance, if the word "tennis" occurs ten times in an article of one thousand words, its density will be calculated as 1%. This formula is useful for determining how evenly distributed a given word is throughout a text of any length.

The language tool is optimized for English because it is based on an English language statistical model. Although it can handle non-English texts at some level, features such as token lemmatization may not work well with non-English languages. For optimal results, it is advisable to input and analyze texts written in English using this tool.

Yes, it is available for free to registered users.