AI Summarizer for Study Notes
Model:
Paste lecture notes, a textbook chapter, a research paper, or any long text and get a study-friendly summary. Pick the output style — bullet list, tight paragraph, hierarchical outline, mind-map-ready markdown, or five key points. Optional study-prompt toggle appends review questions at the end so you can self-quiz.
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મફત નોંધણી કરો
તમારી વિનંતી પ્રક્રિયા કરી રહ્યા છીએ...
Summarize lecture notes, textbook chapters, and readings with free AI. Bullet / paragraph / outline / mind-map / 5-key-points formats, optional study questions.
કેવી રીતે વાપરવું AI Summarizer for Study Notes
1
તમારો ઇનપુટ દાખલ કરો
લખાણ લખો, ફાઇલ અપલોડ કરો, અથવા તમે જે ઇચ્છો તે વર્ણવો. ખાતાની જરૂર નથી.
2
બનાવો ક્લિક કરો
અમારું એઆઈ શ્રેષ્ઠ ઓપન-સોર્સ મોડેલનો ઉપયોગ કરીને તમારી વિનંતીઓને સેકન્ડોમાં પ્રક્રિયા કરે છે.
3
ડાઉનલોડ કરો અને વહેંચો
તમારા પરિણામને ડાઉનલોડ કરો, નકલ કરો, અથવા વહેંચો. અંગત અને વ્યવસાયિક ઉપયોગ માટે મફત.
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": "Explain quantum entanglement for a 5-year-old."}]}'AI Summarizer for Study Notes — FAQ
Free.ai Study Summarizer turns lecture notes, textbook chapters, research papers, or any long text into a study-friendly summary. Choose the output style — bullet list, paragraph, hierarchical outline, mind-map markdown, or 5 key points — plus an optional study-questions section for self-quizzing.
Yes — Qwen 2.5 7B runs on our own GPUs inside the daily token pool. Summary cost scales with input length (~500-3,000 tokens typical). Signed-in free accounts get 10,000 tokens on signup, enough for 10-30 summaries.
Notion AI is $10/user/month; Mem costs $10/month for AI; Glean is enterprise-only at $30+/seat; Otter summaries are locked to your recorded meetings. Free.ai works on any text you paste — no ecosystem lock-in, no subscription, no workspace required.
Five styles: (1) Bullet list — scannable, sub-headed; (2) Paragraph — flowing prose for sharing; (3) Hierarchical outline — preserves source structure; (4) Mind-map markdown — ready for Markmap or Mermaid; (5) 5 key points — exactly five ranked takeaways.
Check "Add 5 study questions at the end" and the summary appends a Study Questions section with 5 self-quiz prompts — mix of recall and analysis. Perfect for pre-exam review. Check "Extract key terms" for a bonus glossary of 5-8 important terms.
Match source (default — preserves the source's register), Explain-like-12, High-school, College, or Expert. Useful for translating dense academic writing into study-group language or tightening lecture notes into exam-grade prose.
No — first summary runs free, no email required. Sign up for 10,000 tokens on signup and generation history.
Best with 500-10,000 words (covers most lecture notes, chapters, and papers). For longer PDFs, use /pdf/summarizer/ which handles page-aware chunking and returns per-page references.
Yes — all 99 languages Free.ai supports. Paste Spanish lecture notes, summary comes back in Spanish with the same style and length settings.
No — the system prompt explicitly instructs the model to summarize only what's in the text, preserve hedges ("may", "suggests"), and not inject examples or opinions. If you see a claim in the summary that isn't in your source, report it — that's a bug.
Yes — download as .md (markdown, good for Notion / Obsidian / Logseq) or .txt (plain, good for email / Google Docs paste). Copy-to-clipboard gives clean text with markdown syntax stripped.
Yes — POST to /v1/chat/ with the summarizer system prompt. Useful for apps that need to bulk-summarize user-uploaded notes. Bearer auth with monthly limits. Snippets at /api/.
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