SciSpace
AI copilot for academic reading
Overview
SciSpace (formerly Typeset.io, founded 2015) helps you read and synthesize papers — jargon/equation explanations, cross-paper data extraction into tables, and citation-grounded Q&A. Deep Review and an expanding Agent/Super Agent handle multi-paper literature reviews, not just single-PDF chat.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 100 credits/month
- Limited lit-review search
- Standard model
- Limited PDF chat
- 1,200 credits/month
- Unlimited lit-review search
- High-quality model
- Unlimited exports
- 10,000 credits/month
- Advanced-quality model
- Deep Review access
- Everything in Premium
- 40,000 credits/month
- Priority support
- Priority feature access
- Everything in Advanced
- Admin/role tools
- Dedicated account manager
- Priority support
- Custom pricing
- Dedicated support
- Institutional SLAs
Use cases
ASEAN Perspective
SciSpace in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
SciSpace pulls double duty as a paper reader and a literature-review engine: highlight jargon or an equation for a plain explanation, run citation-backed Q&A across a corpus, or hand its Deep Review agent a topic and get a structured multi-paper report back. The Extract Data tool builds comparison tables across papers automatically, which is the feature researchers doing systematic reviews actually reach for. Trustpilot puts it at 4.3/5 across 346 reviews, but the complaints cluster tightly: credits get revoked the moment you cancel, unused credits don't roll over, and at least one clinical researcher reported citations that didn't check out — treat any AI-generated reference list here as a starting point, not a bibliography. Pricing climbs fast past the $12/mo Premium tier; Advanced and Max run roughly $70 and $160/mo annually. Good for a first pass across a pile of papers; verify anything you cite.
What people say
Cancel a SciSpace subscription and your remaining credits disappear immediately — a complaint that shows up repeatedly across Trustpilot and Capterra, alongside grievances that unused monthly credits don't roll over and that the company quietly discontinued a la carte credit top-ups, pushing everyone toward a plan upgrade instead.
That's the friction around a product that otherwise does a lot: highlight jargon or an equation in a PDF for a plain-language explanation, run citation-backed Q&A across a paper or a whole corpus, or hand a topic to the Deep Review agent for a structured multi-paper report. The Extract Data tool builds comparison tables across papers automatically, which is the feature most useful to anyone doing an actual systematic review rather than reading one PDF at a time. Originally launched in 2015 as Typeset.io, a manuscript-formatting tool, before rebranding to SciSpace in 2022, the agentic side of the product has kept expanding through 2026 with library search and automated report-writing layered on top.
Free gets you 100 credits a month and a standard model. Premium is $12/mo billed annually (or $20 month to month) for 1,200 credits and unlimited literature searches; Advanced and Max climb to roughly $70 and $160/mo annually for 10,000 and 40,000 credits respectively, plus Deep Review access and priority support.
Trustpilot puts overall satisfaction at 4.3 out of 5 across 346 reviews, which is solid, but at least one clinical researcher reported citations in a generated review that turned out fabricated or misattributed — a reminder to verify anything SciSpace hands you before it goes in a bibliography of your own.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- SciSpace launched as a manuscript formatting tool in 2015 before pivoting to AI research assistance in 2022 — a complete product transformation in response to the LLM revolution.
- The platform's Chrome extension has been installed over 1 million times and overlays AI explanations on academic papers across PubMed, arXiv, and journal websites.
- SciSpace processes questions in 75 languages, making scientific literature accessible to researchers worldwide regardless of English proficiency.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including SciSpace's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with SciSpace unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to SciSpace directly →
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