TLDR This is a free online AI-powered text summarization tool that condenses long articles, documents, essays, papers, and webpages into concise key summary paragraphs using state-of-the-art technology. It supports inputs via URL, pasted text, or file uploads (PDF, DOC, DOCX), extracts metadata like author, date, title, reading time, and images, and offers browser extensions for Chrome and Firefox for one-click summarization. Features include extractive key sentences or abstractive human-like summaries, customizable lengths (short or detailed), keyword display, ad-stripping for distraction-free reading, a chat interface for document interaction, and a developer API. Ideal for students, writers, teachers, journalists, and researchers dealing with information overload, it provides free tier access with limits and Pro plans starting from $4-10/month.
TLDR This is an online tool that uses advanced AI technology to automatically condense long texts such as articles, documents, essays, or papers into key summary paragraphs.
TLDR This offers summarizing any text into concise content, extracting article metadata like author, date, related images, title, and reading time, eliminating online distractions, browser extensions, and a paraphrasing tool.
TLDR This utilizes state-of-the-art AI to analyze the input text, pinpoint relevant points, and compile them into a coherent summary while disregarding weaker arguments.
Yes, you can use TLDR This for free with limits like 5 PDF uploads/day; sign up for advanced summaries and priority support.
TLDR This can summarize long articles, papers, essays, documents, and supports PDF, DOC, DOCX via URL, paste, or upload.
Yes, TLDR This offers browser extensions for Chrome and Firefox, enabling one-click summarization of webpages.
Yes, TLDR This can effectively summarize long research papers into key paragraphs, aiding comprehension.
Students can use TLDR This to condense vast reading material into digestible summaries for exams or research.
Yes, TLDR This can generate both short/concise and detailed/section-wise summaries.
TLDR This extracts author, date, related images, title, and estimated reading time from news articles and blog posts.
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