Discover concepts
Find the subjects that connect your sources.
Docsie Compare
Discover concepts across your sources, see where they differ, and trace the findings back to evidence.
Compare 2–6 sources. A source can be one document or a whole Docsie shelf, book or knowledge base.
How it works
Docsie builds a shared framework across your sources, from the big picture to the exact evidence.
Find the subjects that connect your sources.
See what each source says, and where they differ.
Move from the overview to findings and evidence.
A closer look
Open a technical area to compare the sources, understand the difference, and explore its impact.
Boot modes, peripherals, packaging: see how each source treats the same concept.
Inspect the evidence behind a finding. Open the original source collections from the report.
Ask follow-up questions across the full selected source collections, including subjects beyond the displayed findings.
Revalidate an individual finding against full source text. Inspect the passage and its interpretation together.
Product captures from public engineering documentation benchmark sessions, September 2026. The hierarchy and results shown belong to those runs.
Bring your standard
The same engine supports three review questions. Choose the framework that fits the decision.
Discover what differs across 2–6 source collections.
AI document comparison →Compare incoming material with an approved reference.
Baseline document review →Test the evidence against explicit expectations.
Requirements and compliance matrices →From one review to a repeatable process
Approve the reference setup. Apply it to each incoming document and review the results as a matrix.
Six NDAs. The same reference sections across every document.
Category scores from separate checks of each document.
Lock the baseline and optional rubric.
Apply the approved setup across the intake.
Open each document’s evidence and chat.
Changing the reference setup requires another approved sample.
The NDA example asks for confidentiality to survive for at least five years. The incoming agreement states three years. The rubric shows which expectations were met and which were not, with the contract text beside the assessment.
Two of three expectations are marked met: 66.7%, below the 70% pass mark. The score and the quoted evidence are available together.
Open the screenshot to explore the detail.
AI judgments can raise false flags. The review queue prioritizes investigation; people confirm the findings.
Built for complex information
Specifications · vendor proposals · RFP responses
Engineering specification comparison →Requirements coverage · policy gaps · baseline conformance
Requirements traceability matrix →Contracts · playbook requirements · revisions
AI contract review →Live examples
Public standards and guidelines run through Docsie Compare: the summary, every finding, and the interactive report with evidence from each source. A reviewer checked each one, and any correction is labelled.
The full control catalogue, 921 pages, checked against Rev. 4: the new PII processing and supply chain families, withdrawn and merged controls, and new enhancements.
The full requirement set checked against Rev. 2: withdrawn and merged requirements, organization-defined parameters, and the new supply chain risk management family.
The three CMMC assessment guides side by side: from 15 FCI requirements to the 110 NIST SP 800-171 requirements to the enhanced Level 3 set.
Good Clinical Practice checked topic by topic against R2: risk-proportionate oversight, quality by design, essential records and service-provider oversight.
FAQ
Yes. A source can be a Docsie shelf, book or article from any workspace you can read. Compare sources accepts 2–6 sources; each collection can contain multiple articles. PDFs are imported, videos become documentation and websites are extracted before comparison.
Narrow source comparison to the topics that matter. Use a baseline to make your approved reference the framework, or supply an editable requirements rubric to define exactly what you want assessed.
Explore the architectural overview, technical areas and individual findings. Open the per-source evidence and original article, or use the chat to investigate coverage and revalidate a specific finding. Figure descriptions are labelled as AI-derived; inspect the original image when reviewing visual evidence.
The model judges each expectation and must cite evidence for an expectation marked met. Code calculates the share met, applies the pass mark and rolls weighted scores up through subcategory, category and overall results. Critical and high-severity failures remain separately visible.
Yes. A requirements check grades one body of content at a time. A factory repeats that check for each document and collects category scores in a matrix, alongside baseline results when configured.
Ask follow-up questions, revalidate a finding, extend and save the comparison, save it as a Docsie article, or export the report to XLSX or CSV. Factory baseline and rubric matrices export to CSV.
Check that the source was imported faithfully and that the cited material supports the finding. Verified quotations match source text; they do not guarantee the interpretation. A counterpart not found in the research does not establish that a product lacks a capability.
Docsie Compare
Turn complex sources into decisions backed by evidence.