The API for
multi-document processing
Turn documents into a single structured response.
Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.
REQUEST
curl -X POST \ -H "X-API-Key: $PARSEWISE_API_KEY" \ -F 'files=@loan_application.pdf' \ -F 'files=@appraisal_report.xlsx' \ -F 'schema={ "type": "object", "properties": { "loan_amount": {"type": "number"}, "dti": {"type": "number"}, "ltv": {"type": "number"} } }' \ "https://api.parsewise.ai/api/v1/extract/"
RESPONSE
{
"status": "contradiction detected",
"data": {
"loan_amount": 500000,
"dti": 32.4,
"ltv": 80.0,
"sources": [
{"field": "loan_amount",
"doc": "loan_application.pdf", "page": 3},
{"field": "loan_amount",
"doc": "appraisal_report.xlsx", "page": 1}
]
}
}With experience and support from
Level up your pipeline, agent, or manual process
How Parsewise Compares
Single-doc parsers and RAG solve are limited in their scope.
Parsewise goes beyond: cross-document reasoning with full traceability and no false negatives.
Build a multi-document pipeline in 1 minute
Exhaustive. Not approximate.
Scale Without Limits
Process 10,000+ pages per run. Parsewise maintains context across your entire corpus. No missed details.
Full Traceability
Every answer cites its source with page and paragraph references. Audit any insight with a click. No black boxes.
Any File Type
PDFs, spreadsheets, Word docs, scanned images handled consistently across heterogeneous document sets.
Cross-Document Entity Linking
"John Smith, borrower" in Doc A is the same entity as "J. Smith, DOB 1990" in Doc C. Parsewise resolves and links them natively into one unified ontology.
Contradiction Detection
When sources disagree, you see the conflict, the candidates, and the chosen value, not a confident-sounding hallucination. Specify your definition or manually override.
How Builders Use Parsewise
Submission Triage at Scale
From broker submissions extract exposure, loss runs, and schedules, turning 100-page dossiers into structured risk records.
Data Room Diligence
From entire data rooms (50– 500 docs) validate KPIs, surface red flags, and reconcile contradictory disclosures, all returned as JSON.
Loan File Validation
From complete loan packages (applications, W-2s, bank statements, appraisals) get back DTI, LTV, and a list of missing documents.
Beyond Structured JSON
The API is just the start.
Parsewise provides the full toolkit to configure, consume, verify, and iterate.
Flexible output formats
Get results as JSON, CSV, or Excel. Fill DOCX, PDF, and XLSX templates deterministically from extracted data.
Out-of-the-box prompts
Start with built-in extraction definitions. Parsewise suggests ongoing improvements as it processes more of your data.
Ad-hoc corpus queries
Run follow-up questions on an already-processed document corpus without re-ingesting or re-extracting.
Coding tools & web search
Agents can write and run code, and search the web to backfill missing values and verify extracted data.
Bounding-box endpoints
API endpoints return word-level coordinates so you can build your own UI with highlighted source regions.
Web app for business users
Non-technical team members can configure schemas, review results, and analyse further, all from the browser.
Enterprise-grade security
Parsewise is built from the ground up with your data protection top of mind. We meet the highest standards so you can focus on what matters.
Explore certifications, policies, and security practices.
In VPC deployment supported on AWS, Azure, GCP.
FAQ
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