Open Paper

Open Paper

Open Paper turns your research PDFs into citation-grounded AI chat, annotations, and audio overviews.

70/100Safe BetFree · from $12/moFreemium

If your problem is confidently wrong citations, Open Paper is built for exactly that — it answers against your PDFs and shows the passage. The $0 Base tier (10 uploads, 2 projects, 5,000 weekly chat credits) is a real test of the loop, and $12/month for 500 uploads and 150,000 weekly credits is modest for anyone living in papers. Its gap is collaboration: Teams is still Coming Soon, so this is a solo researcher's tool for now.

Verified 10h ago · liveness 70/100 · cite: rightaichoice.com/tools/open-paper

Best for
  • Independent researchers and academics managing a personal literature collection
  • Graduate students running literature reviews across dozens of papers
  • Privacy-conscious researchers who want a self-hostable, open-source option
  • Researchers who want to extract and compare values across studies in Data Tables
Not ideal for
  • Researchers who need bibliography export (BibTeX, RIS) — keep Zotero as your source of record
  • Teams needing shared projects now — the Teams plan is still Coming Soon
  • Anyone expecting mobile-first reading or a dedicated phone app
Visit Website

IntermediateSolo researcher: minutes to first value — create an account, upload a PDF, and ask a first question with citations. Zotero importers: a short session to pull in an existing library, then project organization. Self-hosters: the longest path, since you need to deploy the open-source codebase on your own server before any research workflow starts.WebNo public APIVerified 10h ago
Pricing
Free · from $12/mo
FreemiumFree tier3 plans5 hidden costs
Learning curve
Intermediate
Solo researcher: minutes to first value — create an account, upload a PDF, and ask a first question with citations. Zotero importers: a short session to pull in an existing library, then project organization. Self-hosters: the longest path, since you need to deploy the open-source codebase on your own server before any research workflow starts.
Runs on
Web
No public API · 1 integrations
Who it's for
Graduate student writing a literature reviewIndependent researcher with a privacy constraintAcademic with a long commute
Live sentiment
Is Open Paper actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip Open Paper if you need shared team workspaces today, since the Teams plan is TBD and Coming Soon, or if you need BibTeX/RIS bibliography export from the same tool.

The 30-second take
Biggest gripe

The Base plan's 200 MB knowledge base fills up fast if your PDFs are large scans, pushing you to the $12/month Researcher tier sooner than expected.

Price reality

$0 Base fits a grad student testing the loop on 10 papers; $12/month Researcher is priced for a solo academic with a few hundred PDFs and sits well below typical literature-discovery subscriptions, but it is more than you'd pay for a general assistant subscription you already use for other work. Teams pricing is TBD, so there is no enterprise comparison yet.

In short

Open Paper — Open Paper turns your research PDFs into citation-grounded AI chat, annotations, and audio overviews. Best for Independent researchers and academics managing a personal literature collection, Graduate students running literature reviews across dozens of papers, Privacy-conscious researchers who want a self-hostable, open-source option. Free to start; paid plans from $12/mo.

What's new in Open Paper

Checked today

Across the latest 2 updates: 2 feature updates.

What people actually say about Open Paper — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

22 mentions across 3 sources (Hacker News, Product Hunt, Lemmy) · researched Jul 3, 2026.

63% positive37% critical

Average across the 3 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Citation-grounded AI avoids hallucination on source material.
  • +Open-source codebase allows self-hosting and audits.
  • +Privacy-first design with no data mining.
  • +Supports PDF uploads and in-place annotations.
  • +Zotero library import eases migration.
Recurring frustrations
  • −Very few real user reviews outside launch posts.
  • −Integrations are limited to Zotero only.
  • −Free tier's limits are not transparent.
  • −No mobile apps or offline support mentioned.
  • −Pricing at $12/mo may feel steep for students.
Patterns worth knowing
Citation transparency is a major selling point
Seen on Hacker News, Product Hunt
Privacy and open-source nature are appreciated
Seen on Hacker News
Tool is early and lacks community validation
Seen on Hacker News, Lemmy
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • • No hidden costs reported, but free tier caps unknown.

Viability Score

70/100
Safe Bet

How well maintained and how widely used is Open Paper? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
63
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • AI chat with citation-grounded answers tied to specific passages
  • Upload and annotate research paper PDFs
  • Highlighting and note-taking on papers
  • Project-based organization with metadata
  • Extract structured data into Data Tables
  • Compute math across values in Data Tables
  • Generate audio overviews for listening on the go
  • Import your existing Zotero library
  • Open-source codebase for self-hosting
  • Transparent reasoning with highlighted citations
  • Split-screen view for reading and chatting side by side
  • Weekly changelogs with community-driven development
  • ResearchQA benchmark for citation-grounded question answering
  • Systematic literature review workflows

About Open Paper

FreemiumIntermediateNo APIWeb

Open Paper, a product of Khoj Inc., is a research workspace for scientists, academics, and graduate students who want AI answers they can trace back to their own sources. You upload paper PDFs, organize them into projects, and ask questions; the assistant answers with inline citations pointing at specific passages, so you check the evidence instead of trusting the model. The workflow goes well past Q&A — highlight and annotate papers, extract structured values into Data Tables, generate audio overviews for listening away from the desk, and pull an existing Zotero library straight in rather than rebuilding a collection. Data Tables now compute math across the values you extract, turning the table from a place to store findings into a place to work on them. Privacy is the other half of the pitch: the codebase is open source and self-hostable, and the reasoning behind each answer is surfaced with highlighted citations. Pricing is freemium — Base at $0/month carries 10 paper uploads, a 200 MB knowledge base, 5,000 weekly chat credits, 5 weekly audio overviews, 2 projects, and 2 data tables; Researcher at $12/month raises that to 500 uploads, 3 GB, 150,000 weekly chat credits, 100 weekly audio overviews, 100 projects, and 50 data tables. Teams (unlimited uploads, 50 GB, unlimited chat credits and audio overviews, 500 projects, 100 data tables) is listed at TBD and Coming Soon.

Behind the Verdict

Pick Open Paper when the answer needs to be checkable. That is the whole point of the product: citations that land on passages inside your own library rather than on whatever the model half-remembered. We'd reach for it during a literature review, when you are holding dozens of PDFs and need to compare what each one actually says. The Zotero import matters more than it sounds — nobody wants to re-file a reference library to try a new tool, and pulling yours in is the difference between a 10-minute trial and an afternoon of data entry. The Data Tables update is the more interesting one. Extracted values used to sit there; now they compute, so you can go from "what sample size did each study report" to a comparison without exporting to a spreadsheet. For people doing systematic reviews, that is the step where the tool stops being a reading aid and starts being analysis software. Where it bites: this is not a bibliography manager. If you need BibTeX or RIS export to feed a manuscript, keep Zotero as your source of record and treat Open Paper as the layer on top. There is also no team story yet — Teams is Coming Soon at TBD pricing, so if two of you need to share a project this month, plan around it. The closest alternative is a general assistant like ChatGPT: broad, polished, and happy to answer confidently without pointing at a passage in your library. Against Elicit and SciSpace, the split is discovery versus depth — those help you find papers, Open Paper helps you interrogate the ones you already chose. If you want self-hosting and open source, that narrows the field further. Practical caveat on the free tier: 10 uploads and 2 projects run out fast once a review gets serious, and 5 audio overviews a week is a taste. Budget for Researcher ($12/month) if the trial

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Real-world workflow fit

Concrete scenarios for the personas Open Paper actually fits — and what changes day-one when you adopt it.

Graduate student writing a literature review

Uploads 40 PDFs into a single project, highlights key passages in each, then asks the chat which papers report conflicting results so the citations point back to the exact passages.

Outcome: A draft comparison table extracted from the papers, with each row traceable to a highlighted source passage instead of an unsourced summary.

Independent researcher with a privacy constraint

Self-hosts the open-source codebase on their own server, imports a Zotero library, and queries unpublished manuscripts without sending them to a third-party cloud.

Outcome: Citation-grounded answers on private data, with the research corpus never leaving their infrastructure.

Academic with a long commute

Generates audio overviews of the week's new papers and listens to them on the train, then asks follow-up questions in chat about the passages referenced in the audio.

Outcome: Triage of the week's reading before sitting down at the desk, with citations ready for the papers worth a full read.

Use Cases

Limitations

  • The free Base plan caps paper uploads at 10, knowledge base at 200 MB, chat credits at 5,000 weekly, and audio overviews at 5 weekly, with only 2 projects and 2 data tables.
  • The Researcher plan ($12/month) raises these to 500 uploads, 3 GB, 150,000 weekly credits, 100 weekly audio overviews, 100 projects, and 50 data tables — but weekly chat credits are still capped, not unlimited.
  • The Teams plan is not yet available and its pricing is still TBD, so collaboration capabilities are not accessible today.
  • There is no bibliography export (BibTeX, RIS), so Open Paper will not replace your citation manager.
  • The platform is early-stage, launched as v0.1 in May 2025, with active weekly changelogs indicating ongoing changes.

as of 2026-09-15

Verification history

We have re-verified Open Paper 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Open Paper tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Base

$0/mo

Ideal for

A graduate student or curious researcher testing whether citation-grounded chat fits their reading workflow, with a small starter library.

What this tier adds

Free entry point: 10 paper uploads, 200 MB knowledge base, 5,000 weekly chat credits, 5 audio overviews per week, 2 projects, 2 data tables.

Researcher

$12/mo

Ideal for

An independent researcher or academic maintaining a personal library of hundreds of papers and using chat, audio, and extraction regularly.

What this tier adds

Raises limits to 500 paper uploads, 3 GB knowledge base, 150,000 weekly chat credits, 100 audio overviews per week, 100 projects, and 50 data tables for $12/month.

Teams

TBD/mo

Ideal for

Labs and multi-author research groups that need shared projects and unlimited usage — not yet purchasable.

What this tier adds

Promises unlimited paper uploads, 50 GB knowledge base, unlimited weekly chat credits and audio overviews, 500 projects, and 100 data tables; pricing is TBD and the plan is Coming Soon.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The Base plan's 200 MB knowledge base fills up fast if your PDFs are large scans, pushing you to the $12/month Researcher tier sooner than expected.
  • Weekly chat credits are capped at 5,000 on Base and 150,000 on Researcher — even the paid tier is not unlimited, so heavy Q&A sessions across a big corpus can run into the weekly wall.
  • Audio overviews are limited to 5 per week on Base and 100 per week on Researcher, so listening to a full literature review on audio means rationing generation.
  • Data tables are capped at 2 on Base and 50 on Researcher, which bites once you start comparing findings across many papers.
  • Teams collaboration is not purchasable at any price right now — pricing is TBD and the plan is Coming Soon, so a lab cannot budget or adopt it yet.

Where the pricing makes sense

The company stage and team size where Open Paper's pricing actually pencils out — and where peers do it cheaper.

$0 Base fits a grad student testing the loop on 10 papers; $12/month Researcher is priced for a solo academic with a few hundred PDFs and sits well below typical literature-discovery subscriptions, but it is more than you'd pay for a general assistant subscription you already use for other work. Teams pricing is TBD, so there is no enterprise comparison yet.

Setup time & first value

How long it actually takes to get something useful out of Open Paper — broken out by persona, not the marketing-page minute.

Solo researcher: minutes to first value — create an account, upload a PDF, and ask a first question with citations. Zotero importers: a short session to pull in an existing library, then project organization. Self-hosters: the longest path, since you need to deploy the open-source codebase on your own server before any research workflow starts.

Switching to or from Open Paper

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Zotero: use the built-in library import to bring your reference collection into an Open Paper project instead of rebuilding it.
  • →From a folder of loose PDFs: upload them into a project and annotate in place, keeping your existing file organization as a mental map.
  • →From ChatGPT-style assistants: re-ask your questions against uploaded PDFs so answers return passage-level citations instead of unsourced prose.
Migrating out
  • ↗To Zotero: keep Zotero as your system of record for bibliography export, since Open Paper does not export BibTeX or RIS.
  • ↗To a general assistant: copy paper text out manually for non-research questions, since Open Paper is built for paper-grounded answers.
  • ↗To a discovery tool: move to a literature-search product if you need the tool to find papers rather than reason over ones you already selected.

Integrations

Zotero

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Open Paper”, and we withheld 6: 6 did not mention Open Paper. We are showing none, because we could not prove any of them are about Open Paper.

Official links

Tools that pair well with Open Paper

Common stack mates teams adopt alongside Open Paper, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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