SciSpace alternative: what we could verify, and what we could not
We set out to write this page with SciSpace's current numbers in it. SciSpace would not give them to us: on 11 August 2026 both its pricing page and its credits guide answered our request with HTTP 403. So this is a ledger instead of a brochure. Every figure below names the page we actually read and the date that page carried, the ones we could not read are listed as such, and where two sources disagree you get both rather than the flattering one.
Most pages carrying this title will quote you a price with no date on it. That is the format the category has settled into and it is quietly useless, because the thing being quoted moves. A credit allowance can change between a Tuesday and the Tuesday you read about it, and a number with no date attached is a claim about a moment nobody names.
The page that would not open
On 11 August 2026 we requested SciSpace's plans and pricing page and its credits and usage guide. Both returned HTTP 403 Forbidden, which means the server declined to serve an automated reader rather than that the pages are gone. Open them in a browser and they will very likely work fine for you.
That is not an accusation. Plenty of sites block automated traffic and it is a reasonable thing to do. It does change what we are entitled to publish, though. We tried the same thing across this category the same day: Elicit, Jenni, Zotero, Overleaf and Grammarly all served us readable prices, Consensus returned 403 as well, and Paperpal's pricing page loaded with no prices in it at all because they arrive after the page does. So the figures below come from three pages we could read, all of them about SciSpace rather than by it, and each one is stamped with its own age.
The ledger
| What we wanted to know | What we found | Where we read it | Date on that source |
|---|---|---|---|
| The list price | $20 per month, with both a free version and a free trial available | Capterra's SciSpace pricing listing | Read 11 August 2026 |
| The annual price | Premium at $120 a year, which the reviewer works out as $12 a month | Hugh Kumar, AIDetectPlus | 1 June 2026 |
| Sharing it | $18 per user per month on annual billing; enterprise quoted from $199 a month | Hugh Kumar, AIDetectPlus | 1 June 2026 |
| What the free tier meters | 100 AI credits a month that do not roll over, five bibliography downloads, a cap on downloaded text, one AI task at a time | Hugh Kumar, AIDetectPlus | 1 June 2026 |
| How far 100 credits go | "The research was so deep that I ran out of the 100 free credits" | Janine Heinrichs, Unite.AI | Published 22 January, updated 30 March 2026 |
| Size of the index | Given as "200+ million papers" in one place and "280 million papers" in another, in the same article | Janine Heinrichs, Unite.AI | Updated 30 March 2026 |
| What users think | 4.3 out of 5 across 80 reviews; value for money scored separately at 3.9 | Capterra's SciSpace pricing listing | Read 11 August 2026 |
| What SciSpace publishes today | Could not read it. HTTP 403 to an automated request | scispace.com pricing page and credits guide | Tried 11 August 2026 |
Where the two accounts disagree
Read those rows carefully and one contradiction stands out. Kumar describes 100 AI credits arriving every month and expiring unused; Heinrichs describes 100 credits granted once, at signup. Both were writing this year. Both are describing the same product.
We are not going to resolve that by picking the version that suits us. The likeliest explanation is dull and important: a credit meter is the easiest thing in a product to change, it gets changed often, and two reviews five months apart can both be accurate about different weeks. Which is the argument for the whole shape of this page. If you are budgeting around a free allowance, budget around what your own account shows you today, not around what any page including this one says it was.
The same caution applies to the index size, where a single article gives two figures 80 million papers apart. That is almost certainly a vendor changing its own headline number between the writing and the updating, and it is a good reminder that "how many papers" is the least useful number in this category anyway. You will read forty of them.
The one criticism that matters if you are citing
Most of what reviewers complain about here is ordinary software grumbling, and we will not pretend it is our business. Kumar's account is rough on reliability and on getting a refund. Heinrichs is broadly positive and rates the tool highly. Neither of those decides anything for a writer.
One line does. Among Heinrichs's stated drawbacks is that "the sources it generates may be unrelated", alongside "requires human review for accuracy". In a reading tool that is a nuisance: an unrelated paper turns up, you notice, you move on. In the writing step it is a different object entirely, because an unrelated source does not stay on screen, it goes into your reference list and gets defended in a viva by someone who assumed the tool had checked.
Two things about that, both meant seriously. It is a reviewer's judgement of a product at a moment, not a measured rate, and we are not going to inflate it into one; if you want a measured rate you have to produce it yourself, and the method is in how to check if a citation is real. And it is a criticism you should aim at us too. Any tool that puts a source next to a sentence owes you the passage that connects them, and a tool that cannot produce one has not earned the citation.
What SciSpace does that we do not, and will not
Four things, and none of them is on a roadmap here. It reads a PDF you already have and answers questions about it; we have no reading mode at all. It gives you an index to search and browse; we query OpenAlex, Exa, CrossRef and Unpaywall while writing, which is not the same experience and is no substitute for one. It pulls findings out of a stack of papers into a comparison table. It carries journal formatting templates.
What sits on our side is narrower. We produce the document: sections with a history you can walk back through, claims that arrive carrying the passage supporting them, and every edit shown as a change you can undo before it sticks. That is one job, done in one order, and it starts after the reading is done. If getting through the reading is what you are stuck on, our notes on how to read a research paper cost nothing and neither does the method.
Who should leave, and who should stay
Stay if your problem is reading. Do not cancel a tool that gets you through dense PDFs in order to buy one that writes, because you will hit the first paper you cannot parse within a week and you will have swapped a solved problem for an unsolved one. This is the most common bad switch in the category and it is worth naming plainly.
Leave if you bought it to write and your evenings now go on checking what it put in. That is a different complaint from "I cannot understand this paper", and it is the only one of the two we are equipped to answer. At the figures we could verify both products sit at $20 a month on monthly billing, so running the pair is $40, which for one essay a term is bad value and for a year-long dissertation is entirely defensible. Pick by the step you are stuck on, not by the feature list.
Our own view, offered as a view. SciSpace's difficulty is not the product, it is the meter. When a single deep search can empty a credit balance, as Heinrichs describes hers doing, every question becomes a small purchase decision, and a research tool you hesitate before using is a research tool you use less. That is not a scandal and we have a meter of our own. But we think it is the thing people are shopping away from when they type this phrase into a search box, and a page that answered them with a feature grid would have missed it entirely. If the number you see at checkout is not the number in our ledger, believe the checkout: we could not read their page today, and a third-party listing is not the vendor.