Apps
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Promptizer
Promptizer is the free tool to automatically generate prompts for ChatGPT. Perfect for students, professionals, and anyone who needs to write articles, essays, or blog posts in a few clicks.The AI tool quickly generates prompts for ChatGPT based on text or web links: it detects key concepts and context to produce an automatic prompt online to submit to ChatGPT.
Its operation is very simple: to generate a prompt, just enter the source text or the address of a public web page, select the language (in addition to English, it supports texts in Italian, German, Spanish, French, Chinese, and many other languages), and you're done ;).
Its operation is very simple: to generate a prompt, just enter the source text or the address of a public web page, select the language (in addition to English, it supports texts in Italian, German, Spanish, French, Chinese, and many other languages), and you're done ;).
Discover innovative apps to quickly create texts, articles, and essays. Perfect for students, professionals, and SEO. Try them for free!
Summarise texts and web pages in seconds with Summazer. Take advantage of artificial intelligence to create automatic summaries, supporting over 25 languages. Try it now for free!Its operation is very simple: to summarize a text or web page, simply enter the text or page address, select the language - in addition to English, it supports texts in: German, Spanish, French, Italian, Greek, Russian, Arabic, Chinese, and many other languages - and the desired summary length.
Summazer highlights the main phrases, and the font size is proportional to their semantic relevance. With the identified keywords, it generates meaningful titles and hashtags. By clicking on the hashtags extracted from the text, you can obtain images to enrich your articles or posts.
👉 Summazer
Free online abstract maker
Abstrazer is the free app to generate an automatic abstract of an article or web page. To obtain the abstract of an article or a thesis, simply enter/paste the text of the article or the address of the web page where it is published and select the language (in addition to English, it supports texts and websites in: German, French, Spanish, Italian, Russian, Arabic, Chinese and many other languages). You will immediately get an extract of the processed text with the most semantically relevant sentences.
Free keywords and key sentences extractor
IRezer, the web application for the automatic extraction of the keywords (tags) and the most salient sentences contained in a plain-text or web page. To extract keywords and keyphrases from a text/hipertext, therefore, enter the text or the page URL, select the language (supports texts and websites in: English, German, Spanish, Italian, Russian, Arabic and many other languages) and the desired granularity. You will immediately get the tables of keywords and the most important phrases with its saliency score. It can order the results by saliency score or reading order.
Sentiment analyser: Tonetizer
Free online sentiment analysis of texts and web pages, Tonetizer detects the sentiment (positive, negative or neutral) of posts, comments, texts and web pages.
Title generator: Titletizer
An automatic online title generator from texts and web pages, Titletizer generates a title for posts, comments, texts and web pages on the basis of different artificial intelligence algorithms as the type of text (informative, argumentative, narrative), presence of named entities and geographical locations vary.
Identifies the main topics or themes of a text (text clustering)
Clustezer: the app for the automatic extraction of the main topics of a text or web page through the auto-classification of the keyphrases contained in the text. To obtain the summary of topics and related keyphrases, enter the text or the address of the page to be processed, select the language (the app supports texts and websites in: Italian, English, German, Spanish, Russian, Arabic and many other languages) and the number of expected topics (clusters). You will get the summary of the topics with the relative sets of related phrases found in the processed text.
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