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The AI Note-Taking App for Serious Readers

aginsi is the AI note taking app free of subscriptions and meeting bots, built to turn dense reading into notes you can actually cite.

Start taking notes free See how it works
Annotated academic paper next to a laptop showing a notes interface
What it does

Built to take notes from documents, not calls

Every feature starts from the same problem: too much to read, and no time to trust a summary you can't verify.

Citation-locked notes

Every note keeps a live link back to the exact page and paragraph it came from, so you can check a claim in seconds.

PDF and paper ingestion

Drop in a PDF, a long report or a pasted article. aginsi reads the structure, not just the words, before it distills.

Highlight, don't retype

Mark what matters as you read. aginsi turns highlights into structured notes automatically, with nothing to retype.

Searchable note library

Distilled notes land in one searchable library, tagged by source, topic and date, instead of scattered across folders.

Digest for long reading lists

Feed it ten papers before a deadline and get one ranked digest of what actually matters across all of them.

No meeting required

Nothing to record, no bot to invite. aginsi works entirely from the documents you already have open.

How it works

From PDF to usable notes in three steps

No setup, no bot invited to anything, no formatting to clean up first.

  1. 1

    Upload or paste

    Drop in a PDF, a long report, or paste in an article straight from your browser.

  2. 2

    aginsi reads and tags

    The model extracts the substance, keeps every citation attached to its source, and flags what looks uncertain.

  3. 3

    Review and export

    Skim the structured notes, adjust what needs adjusting, then search them later or export them out.

For researchers

Clear a 40-paper reading list before Friday

A PhD candidate preparing a literature review doesn't need ten more browser tabs. She needs the same three questions answered across forty papers: what method, what finding, what limitation. Most surveyed academics report reading around 20 papers a month, well under what a serious review demands in a single week. aginsi answers all three questions per paper, with the citation attached, so the review still holds up when a supervisor asks where a claim came from.

  • Method, finding and limitation per paper
  • Citations stay attached to every claim
  • Digest ranked by relevance to your topic
Researcher reading and annotating a printed paper at a library desk
For journalists and consultants

Turn a stack of reports into a briefing note

A consultant preparing a client briefing is usually working from five PDFs, two of which quietly contradict each other. aginsi surfaces where the sources agree, where they diverge, and which one is more recent, so the briefing note reflects the reading instead of a guess at what it probably said. Nothing here depends on attending a call: the source material is already written.

  • Cross-document comparison, not just summary
  • Contradictions and gaps flagged, not hidden
  • Notes export straight into a working document
Consultant reviewing printed reports and a tablet at a desk

Where aginsi actually fits

Not every AI note taking app solves the same problem. Here is the honest breakdown.

FeatureaginsiMeeting notetakersGeneral note apps
InputPDFs, papers, reportsLive audio from callsWhatever you type
Citation back-linksYes, to source pageNoRarely
Needs a meeting botNoUsually, yesNo
Cross-document digestYesNoNo
Free tierYesUsually, capped minutesYes, capped storage

Common questions

Is aginsi actually a free AI note taking app, or is that just a trial?
The free tier lets you upload documents and generate cited notes without a credit card. It exists so you can see the note quality on your own reading before deciding whether to go further, not as a seven-day trap.
How is this different from an AI meeting note taker like Otter or Fireflies?
Meeting note takers listen to a call and transcribe speech. aginsi never listens to anything: it reads documents you already have, PDFs, reports, papers, and distills them, with the source attached to every claim.
Can it read scanned PDFs and non-English source documents?
Yes for scanned PDFs with a text layer or readable image quality, and yes for most major languages, though notes are currently generated in English regardless of source language.
How does it avoid inventing citations, since general AI models do that a lot?
General-purpose models fabricate or alter citation details on 15 to 20 percent of factual tasks by some published estimates, worse on niche topics. One January 2026 audit found over 100 fabricated citations across 53 accepted conference papers, despite full peer review. aginsi's notes link back to the exact source passage rather than generating a citation from memory, so there is nothing to fabricate.
Does it replace reading the paper, or just speed it up?
It speeds up the triage: deciding which of forty papers deserve a full read and which need only the method and finding. For anything going into a publication or a client deliverable, reading the primary source stays the last step.
What happens to the documents I upload?
Documents are processed to generate your notes and stored in your account library so you can search them later. They are not used to train shared models, and you can delete a document and its notes at any time.
Can I use it for a systematic literature review, or is it too casual for that?
It works well for the triage and first-pass extraction stage of a review, method, finding, limitation, per paper, with citations intact. The synthesis and quality appraisal still need a human researcher applying the review's own protocol.

Stop losing an hour to every 40-page report

Start free. Upload your first document and see the notes before you decide whether to keep going.

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