A short field guide. Read it once so you know whether your papers fit, what you are paying for, and when we will refund you.
01
What Papira does
Papira reads your research papers and builds a Coverage Matrix: the problems they tackle, the approaches they propose, the benchmarks they evaluate against, and the gaps between them.
It is not
a summarizer, a citation manager, or a writing assistant.
02
What kind of papers work best
Papira is built for empirical research papers — where you can name a problem, an approach, and an evaluation with benchmarks or metrics.
Strong fit
A problem the paper solves
An approach the authors propose
Evaluation with benchmarks, datasets, or metrics
Not optimized for
Pure theory (no empirical evaluation)
Position papers, opinion pieces, essays
Literature reviews and surveys
Humanities without comparative methods
No explicit benchmarks or quantitative results
Most of CS, ML, NLP, systems, databases, robotics, computational biology, and quantitative social science fit this shape.
03
What you get
A Coverage Matrix across your uploaded papers
Identified gaps and contribution opportunities
Choose a map size: Discover (up to 5 papers, $9), Position (up to 10, $19), or Survey (up to 30, $49)
Your first matrix is free — up to 5 papers · 20 pages per paper
Pay per map · no subscription
04
What we cannot guarantee
Papira uses large language models to read and structure your papers. LLMs are probabilistic:
Two runs on the same paper may differ slightly
Unusual structure or ambiguous writing can produce extractions you disagree with
The “right” gap is partly subjective
05
Refunds
We refund in exactly two situations:
Refund
Technical failure
If Papira fails to deliver a Coverage Matrix — crash, empty output, or error before a result — we refund in full, automatically. If nothing arrives within 7 days, email help@papiraflow.com.
Charged but no service
Duplicate charges, billing errors, or paying for an analysis you never received. Email us; we fix it.
No refund
Disagreement with extracted problems, approaches, or gaps
Quality concerns when papers fall outside supported types above