Humata
ProductivitySearch, summarize and compare uploaded documents with source-linked answers. Humata adds team-oriented document access and page-based plans for ongoing knowledge work.
Questions across filesCited passages
SCISPACE / FROM A PAPER TO A CHECKABLE INSIGHT
SciSpace
An AI research workspace for finding papers, asking questions about PDFs and organizing evidence. A free entry plan includes a limited monthly Agent allowance; advanced research and tool entitlements depend on the plan.
SciSpace official research workspace landing page captured October 3, 2026; the empty task field is a product entry screen, not a completed research resultExplore the image ↓
What you can do with it
What this tool is for
SciSpace combines literature discovery, paper reading and research assistance in a single workspace. It is useful when a paper is outside your immediate specialty, when you need to locate relevant studies, or when several papers must be compared using a consistent set of questions. The central value is a shorter path from an unfamiliar document to a set of passages worth reading closely.
It should support the research process rather than substitute for it. An explanation can simplify terminology while losing an important qualification, and a search can miss work indexed elsewhere. Define a narrow question, preserve links to the original papers, and separate a paper's reported result from your interpretation of what that result means.
01
Read a difficult methods section
02
Prepare a comparison matrix
03
Map a new topic
04
Draft an evidence-based briefing
A closer look at the product
Official product image. Click to inspect the details.
Product interface and examples
Key features, practical tasks
Capabilities in practice
- Literature discovery: Search for papers around a research question and inspect related work. Use the results to form an initial reading set, then compare coverage with the specialist databases appropriate to the subject before calling the search exhaustive.
- Questions grounded in a PDF: The PDF reader lets users ask about a document and follow answer references. This is especially helpful for locating an unfamiliar method or a stated limitation without repeatedly scanning the entire paper.
- Passage explanations: Selected text can be explained in more accessible language. Ask the assistant to preserve the technical term alongside its explanation, so the simplified version remains connected to the vocabulary used by the authors.
- Section-level reading: Summaries can help orient a reader within a long paper. A useful sequence is abstract, methods, results and limitations, with special attention to whether the abstract's claim is narrower in the actual experiment.
- Comparison preparation: Literature-review tools can help organize a collection of studies. Establish your own comparison columns, such as dataset, sample size, baseline and limitation, rather than relying on a single broad judgment of which paper is best.
- Research Agent: The Agent handles multi-step tasks under a credit allowance. Reserve it for a clearly scoped research job with an inspectable output, and review its proposed scope before allowing a broad task to consume the available allowance.
- Writing and citation tools: The workspace includes writing, paraphrasing and citation-related utilities. These can improve presentation, but bibliographic metadata and the relationship between a statement and its cited source still require editorial review.
Get started, step by step
- 01
Define the question
- 02
Select lawful source material
- 03
Ask for traceable extraction
- 04
Save a verified reading note
A practical first workflow
A practical first workflow
- Define the question. Write the population, method or phenomenon you want to investigate and decide which dates matter. A focused question produces a more useful first reading set than an unrestricted request for everything about a field.
- Select lawful source material. Search or provide a PDF that you are allowed to upload. Check whether the available document contains the full methods and supplementary context needed for the question.
- Ask for traceable extraction. Request a small set of fields and supporting passages. If a value is absent, require an explicit missing label instead of an estimate, and inspect ambiguous tables in the original PDF.
- Save a verified reading note. Record the citation, relevant page or section, extracted result and your own caveat. Keep this note independently so later model output does not overwrite what you actually checked.
Example prompt or task: For these papers, compare the research question, dataset, evaluation method and stated limitations. Cite the supporting section for each item. Use “not reported” when the paper does not provide a value.
The workflow is editorial guidance, not a measured product test.
Find the right plan for you
Free tier
Explore official plans ↗Free Limits and paid options explained below
The official help article lists 100 monthly Agent credits on Free. Agent usage is metered by work performed, not one credit per chat. Other tools have separate plan entitlements; premium research modes and unlimited features are not promised on Free.
What is free and what can cost extra
The official credit help page lists 100 monthly Agent credits for the Free plan. A complex job may contain many internal actions, so this is not a promise of 100 complete literature reviews or 100 equally sized conversations. The account usage view is the relevant place to inspect remaining credit.
Agent credits and other tool entitlements are different concepts. The help center describes non-Agent tools separately, while the pricing page reserves several unlimited or advanced capabilities for paid plans. Check the current account's tool access rather than interpreting an unused credit balance as access to every premium mode.
A few things worth knowing
Frequently asked questions
Is there an ongoing free option?
Yes. Official help lists a Free plan with a limited monthly Agent allowance.
Does one question cost one credit?
No. Agent consumption depends on the work performed.
Is every research mode unlimited on Free?
No. Tool access and advanced modes depend on plan entitlements.
Can it explain a PDF?
Yes. PDF reading and question-answering are core product features.
Does a citation prove an answer is accurate?
No. Read the cited passage and check its context.
Can it complete a systematic review by itself?
It can assist, but search design, screening and quality appraisal remain researcher responsibilities.
Should missing data be estimated?
For evidence extraction, mark it as unreported unless the paper explicitly supplies it.
The details behind your decision
Explore platforms, inputs and outputs, licensing, and access requirements.
Four useful starting projects
Four useful starting projects
- Read a difficult methods section: Take one public paper and ask for a glossary of unfamiliar terms plus pointers to the relevant passages. Return to the equations and experimental setup yourself before reusing the explanation in teaching or a report.
- Prepare a comparison matrix: Choose five relevant papers and request the same fields from each. Mark missing information as not reported, and distinguish an author's measured result from a number quoted from earlier work.
- Map a new topic: Start with a bounded date range and research question, collect a small reading list, and group the papers by approach. Treat the groups as a working map that can change after reading the full text.
- Draft an evidence-based briefing: Turn verified notes into a short briefing with a source beside each important claim. Keep contradictory findings visible instead of asking the assistant to smooth them into a single confident narrative.
Platforms, inputs, outputs and setup
Platforms, inputs, outputs and setup
SciSpace works through a hosted web workspace and offers additional official app and extension routes. Papers, PDFs, search results and generated notes serve different roles: a searchable abstract is not necessarily full-text access, and institutional access does not remove publisher restrictions on redistribution.
For multilingual reading, keep the original terminology next to translated explanations. This is particularly useful for a Chinese reading note based on an English paper, where a translated term can otherwise drift between sections and make two identical methods look different.
Data, permissions and licensing
Data, permissions and licensing
Uploaded papers and prompts are handled by a cloud service. Before providing an unpublished manuscript or a restricted dataset, check your organization's rules and the current privacy terms. Begin with public papers when evaluating the workflow.
Keep a human-readable record of which sources support the final result. A generated review should not hide disagreements, fabricate citations or convert a tentative association into a causal claim. The reader remains responsible for the interpretation and for any redistribution of source material.
Sources, documentation and help
Official sources and review date
Official sources and review date
Reviewed October 3, 2026. Product facts come from the official sources below. Suggested projects, prompts and review methods are FindGoodAI editorial guidance, not measured performance results.
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