AI Text Summarizer
Paste your text, choose a summary style, and AI will generate an accurate summary in seconds.
How to use
Paste your text
Copy your Arabic or English text and paste it into the input field. Maximum 5,000 characters.
Choose summary style
Choose "Brief Summary" for a 3-5 sentence paragraph, or "Bullet Points" for 5-7 key ideas.
Choose output language
Get the summary in Arabic or English regardless of the original text language.
Click "Summarise"
AI will process the text and display the summary in seconds. Copy or share it directly.
Frequently Asked Questions
About AI Text Summarizer
Adawix AI Text Summarizer is powered by the Llama 3.1 8B model running via Cloudflare Workers AI, condensing long texts into accurate summaries in seconds. Two summary modes are available: "Brief Summary" produces a prose paragraph of 3–5 sentences capturing the main ideas, and "Key Points" produces a list of 5–7 separate bullet points suited for presentations and quick reports. The tool supports both Arabic and English and automatically responds in the same language as the input text, with a maximum of 5,000 characters per request. Regarding privacy: input text is sent to Cloudflare Workers AI for processing and is not stored by Adawix. Also see: Word Counter.
This tool serves a wide range of users: students summarising academic articles and study materials before exams, journalists scanning lengthy press releases and reports at speed, executives reading study briefs before meetings, and researchers extracting core findings from scientific papers. Unlike general-purpose chat models, this tool is purpose-built for the summarisation task, making its output more focused and fit for purpose. Use is completely free with no registration or account required. Choosing the right mode matters: Bullet Points mode is better for research and study, where you need to compare multiple ideas side-by-side at a glance; Brief Summary mode is better for sharing with others or embedding in a report, as it reads as a coherent prose passage. Language detection is fully automatic — paste Arabic text and you receive an Arabic summary; paste English text and the output is in English, with no manual setting required. The tool works across all text types: academic papers, news articles, legal documents, and business reports. Under the hood, it runs on Llama 3.1, an open-source model developed by Meta and widely recognised for its strong multilingual performance across Arabic and English.
How to get a better summary from the same tool
Summary quality follows input quality. When copying from a web page, strip menus, comments and "read also" links before pasting — the model summarises everything it sees, and if it finds noise it summarises the noise. For research papers, do not paste the whole paper: the abstract and conclusion usually carry the core argument, and summarising those is more accurate than squeezing 30 pages into 5,000 characters.
Pick the format for the destination: "Bullet Points" drops straight into a slide or a team message, while "Brief Summary" works as an opening paragraph for a report or an executive email. And try summarising an Arabic text into English (or the reverse) when you need to share the takeaway with a colleague who cannot read the source language.
The limits of machine summarisation — and what stays on you
The model condenses, it does not understand in your sense: it may drop an important reservation in a contract, skip an exception in a study, or oversimplify a compound figure. Treat the summary as a reading accelerator that tells you whether a text deserves your time and where to focus — not a substitute for reading the source in legal, medical and financial decisions. The golden rule: verify anything you will quote or base a decision on against the original first.