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Aginsi

AI research co-pilot that summarizes articles, papers, PDFs, and video transcripts while highlighting key passages and retaining citations.

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Last Updated 7/31/2026

About Aginsi

Aginsi is an AI research co-pilot for turning long reading material into a short, structured first read. Users can submit articles, academic papers, PDFs, reports, long threads, and video or talk transcripts. The service reads the complete source, highlights passages that carry the main argument, produces an ordered summary, and keeps citations attached so readers can return to the original context. Each result also shows how much the source was compressed and how much reading time was saved. Aginsi processes source text to create the requested summary, then discards the original source; only summaries that users choose to save remain in their accounts. This makes it useful for researchers, students, and teams working through dense reading lists, while still requiring readers to check cited passages before relying on a summary for consequential work.

Best for

Occasional readers who need up to 10 summaries each month
Students and researchers managing papers and transcripts
Teams and departments that need shared libraries or API access

Best use cases

Distilling an article or PDF while preserving citations

Organizing a large research reading list with tags and search

Processing sources in batches or through an API

Compare before choosing

Choose Margin for occasional use at no cost

Choose Scholar for unlimited individual research workflows

Choose Faculty when collaboration, batch processing, or API access is required

Features

Review research papers

Condense academic papers into ordered summaries with highlighted key passages and retained citations for source checking.

Process mixed reading lists

Summarize articles, PDFs, reports, long threads, and video transcripts through one reading workflow.

Share research across teams

Use shared shelves, team seats, batch processing, and API access on the Faculty plan for departmental reading workflows.

Pros

  • Supports articles, papers, PDFs, threads, and video transcripts in one workflow.
  • Retained citations and highlighted passages make it easier to verify a summary against its source.
  • Submitted source documents are discarded after processing, and saved summaries remain under user control.

Cons

  • The free Margin plan is limited to 10 summaries per month.
  • Exports, browser access, and unlimited summaries require the $9-per-month Scholar plan.
  • Team seats, shared shelves, batch processing, and API access require the $29-per-month Faculty plan.

Pricing Plans

Margin

Free
  • 10 summaries per month
  • Articles and PDFs
  • Key-point highlights
  • Citations retained

Scholar

9
  • Unlimited summaries
  • Papers and video transcripts
  • Library, tags, and search
  • Export to Markdown and PDF
  • Browser companion

Faculty

29
  • Everything in Scholar
  • Team seats and shared shelves
  • Batch and API access
  • Priority support

* Pricing information is for reference only. Please refer to the latest announcement on Aginsi's official website.

FAQ

Aginsi reads an entire submitted source and returns a structured summary with key passages highlighted and citations retained, focusing on reading rather than an open-ended chat workflow.
It supports articles, blog posts, academic papers, PDFs, reports, long threads, and transcripts from videos and talks.
Aginsi processes source text to produce a summary and then discards the source. It retains only summaries that users choose to save and says it does not train models on submitted content.

Tool Information

DeveloperAginsi
Release Date4/5/2026
Pricingsubscription