AI Note Taker
Commercial use OK
380+ models
No watermark
No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Paste lecture notes, a textbook chapter, research article, or video transcript — get structured study notes in your chosen format: Cornell two-column, classic outline, mind-map bullets, narrative summary, or Q&A flashcard pairs. Every format follows the actual academic convention (Cornell cues column is 30% width, outline uses I./A./1./a. hierarchy, mind-map uses 3 levels max).
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Generate study notes from text, PDFs, and lectures with AI.
How to Use AI Note Taker
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": "Explain quantum entanglement for a 5-year-old."}]}'AI Note Taker — FAQ
Free.ai Study Notes Generator turns a textbook chapter, lecture transcript, research article, or PDF-extracted text into structured study notes in six academic formats: Cornell two-column, classic outline (I./A./1./a.), mind-map bullets, narrative summary, Q&A flashcard pairs, and SQ3R textbook-reading notes. Each format follows its real convention — Cornell has a 30% cue column, outline uses four hierarchy levels, mind-map is capped at 3 levels deep.
Notion AI is $10/user/month (generic rewriting). GoodNotes 6 AI is $9.99/year for iPad tablet-focused handwriting + AI. OneNote Copilot requires Microsoft 365 Copilot at $20/user/month. Mem AI is $10-15/month for connected-notes synthesis. Quizlet AI Learn is $7.99/month for flashcard-only workflow. Free.ai generates all six note formats free from any paste input — no subscription, and you can chain into /study/flashcards/ or /study/quiz/ without leaving the platform.
Yes — Qwen 3 30B on our GPUs. A chapter of lecture notes (~3K words input) produces structured study notes for ~500 tokens. Free accounts get 10,000 signup tokens. Deep textbook chapters + premium Claude Sonnet / GPT-5 cost more but remain under $5 = 200K tokens.
Cornell: lecture-heavy courses (intro lectures, podcasts, videos). Outline: structured hierarchical material (law, history, biology). Mind-map: concept-dense subjects (philosophy, psychology, literature). Narrative summary: essay-prep and open-book exam review. Q&A: memorization-heavy material (medical terminology, foreign-language vocab, formulas). SQ3R: long textbook chapters where active-reading matters.
No — the system prompt is explicit: never invent facts, dates, or examples not in the source material. If the source is incomplete, it writes [source does not specify] rather than speculate. Preserves numbers, dates, formulas, and proper nouns verbatim.
Yes — 5 academic levels: Middle school / High school / Undergrad / Graduate / Professional (CE). The system prompt calibrates vocabulary and depth. A grad-level setting uses discipline-specific terminology; a middle-school setting defines every technical term inline.
No — first notes run free, no email, no credit card. Creating a free account unlocks 10K signup tokens, 7-day share links (24h anonymous), generation history, and premium model access.
Yes — toggle "Add 5 self-quiz questions" and the notes end with a self-check section of comprehension questions (not just recall). Each question includes a hidden answer key for cover-and-quiz review. For a full quiz with 10-30 questions across types, chain into /study/quiz/.
Yes — .md preserves tables for Notion / Obsidian / Logseq; .doc opens in Microsoft Word or Google Docs with Cornell tables, outline hierarchy, and bold key terms intact. Print button opens a Georgia-serif print view ready for paper study (many students prefer handwritten review).
Yes — all 99 Free.ai languages. Paste Portuguese, Japanese, or Spanish source and notes return in the same language with academic-register vocabulary. Useful for international students studying coursework in their native language.
Summarize compresses a long text into a shorter one with key-point preservation. Notes restructure the text into a study-ready format (Cornell table, outline, Q&A pairs). Use summarize for TL;DR; use notes for exam prep. Many students chain the two — summarize first, then restructure the summary as Q&A flashcards.
Yes — POST to /v1/chat/ with the study-notes system prompt (see template source). Useful for LMS plugins that auto-generate Cornell notes from uploaded PDFs or e-learning platforms batching course-material conversion. Bearer auth, monthly limits. Docs at /api/.
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