AI Summarizer
Commercial use OK
380+ models
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Model:
+ GPT-5, Claude, Gemini
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Summary
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Summarize any text with AI for free. Articles, papers, and more.
How to Use AI Summarizer
1
Enter your input
Type text, upload a file, or describe what you want. No account needed.
2
Click generate
Our AI processes your request in seconds using the best open-source models.
3
Download & share
Download, copy, or share your result. Free for personal and commercial use.
Use this tool via API
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Summarize this: ..."}]}'Related Free AI Tools
AI Summarizer — FAQ
Free.ai Summarizer condenses any block of text — articles, papers, transcripts, briefs, threads — into 5 length presets (TL;DR / Brief / Paragraph / Detailed / ~20% of original) and 5 output styles (Paragraph / Bullets / Table of Contents / Key Points + supporting quotes / Executive Summary). Pick a reading level (8th grade → expert) so the summary lands at the right register, and a target language (auto or 10 majors) if you want the summary translated.
QuillBot caps free use at 1,200 words and charges $9.95/mo for the Premium summarizer. Resoomer charges $19.99/mo for documents over 5,000 chars. SMMRY is free but uses 2008-era extractive sentence-ranking — quotes whole sentences verbatim, no paraphrase. Jasper bundles summarization into a $39+/mo plan. ChatGPT does it well but costs $20/mo for GPT-4 access. Free.ai handles up to 10,000 words per run, no monthly cap, and the prompt is explicitly tuned to preserve facts/numbers/citations and never invent details.
TL;DR for sharing one Slack line. Brief (2–3 sentences) for an email subject preview or social caption. Paragraph for a meeting recap. Detailed (3–5 paragraphs) when you need the full structure preserved — methodology, findings, conclusion. ~20% of original is the smart choice for variable-length input — it scales the summary to what the source can actually support.
Three known failure modes: (1) Long documents over 10K words sometimes get the middle compressed harder than the ends — split into chapters for accuracy. (2) Numerically dense text (financial reports, research stats) occasionally rounds aggressively — always verify numbers against the source. (3) When the source is itself ambiguous, the summary can flatten that ambiguity into false certainty. Use Key Points + Quotes mode for high-stakes work — it forces verbatim quotes alongside each takeaway.
Three labeled sections: **Context** (1–2 sentence situation framing), **Key Findings** (3–5 actionable bullets), **Recommendation** (only if the source itself implies one — we don't fabricate a recommendation). Use it for board memos, status updates, decision briefs.
The system prompt requires every fact, number, name, date, and citation that survives in the summary to stay verbatim. Inline citations (APA / MLA / footnote markers) are kept where the underlying claim is kept. If a claim gets condensed away, its citation goes with it. For citation-critical work (literature reviews, legal briefs), use Detailed length and Key Points style so nothing important gets dropped.
Up to 10,000 words (about 80,000 characters) per run. For PDFs use /pdf/summarizer/ — it handles native PDF extraction, page-aware chunking, and supports up to 200-page documents with premium models. For YouTube videos use /youtube/summarizer/ for transcript-aware summarization with timestamps.
All 99 Free.ai languages on input. The model auto-detects source language. The output-language picker lets you translate the summary into any of 10 majors (English, Spanish, French, German, Portuguese, Italian, Dutch, Chinese, Japanese, Arabic). For 89 less-common languages set the picker to Auto and the summary stays in the source language.
Yes — paste the raw transcript and pick Bullets style + Brief or Paragraph length. The model handles speaker labels, "uh"s, and crosstalk. For long meetings (60+ minutes) split the transcript by topic for cleaner output. Pair with /text/keyword-extractor/ to pull the action items.
Text is sent to Free.ai's self-hosted GPUs, processed, and discarded after the response. We do not train on user inputs. We log only timestamp + token cost for billing — never the source text. Generation history (if you're signed in) stores a 200-character preview for your dashboard but never the full source.
No — first summarization is free, no email, no credit card. Sign up for 10,000 free signup tokens + generation history across all 400+ Free.ai tools, plus higher daily caps and dashboard access.
Yes. POST to /v1/chat/ with the summarizer system prompt (bearer auth, monthly limits per plan). Useful for integrating summarization into a CMS, Slack bot, or news pipeline. Full snippets at /api/.
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