Extract
Structured data extraction
Extract pulls structured data from any document — entities, facts, relationships, metadata — and outputs it as clean JSON, markdown tables, or bulleted lists with confidence levels.
How it works
Pull structured data from
any document — instantly
Point Extract at a document. It identifies entities, facts, relationships, and metadata — then outputs them in the cleanest format for the data type, with confidence levels.
Entity Recognition
People, organizations, dates, amounts, locations, products — identified and extracted with confidence levels. Ambiguous entities flagged.
Relationship Mapping
Who reports to whom? What depends on what? Which clauses reference which? Connections between entities surfaced as structured data.
Fact Tables
Numerical data, dates, specifications, and claims extracted into clean tables. No more reading paragraphs to find the one number you need.
Smart Formatting
JSON for structured data, markdown tables for comparisons, bulleted lists for hierarchies. The right format automatically chosen for each extraction type.
Structured, not scattered
Not "let me read through and find it."
Every data point identified and organized instantly.
Any document type
Data trapped in documents, structured and free.
Any document with data worth extracting — contracts, reports, research, financials.
Contracts
Parties, dates, obligations, dollar amounts, termination clauses
Resumes & Profiles
Skills, experience, education, certifications, contact details
Research Papers
Methods, results, p-values, sample sizes, limitations
Financial Statements
Revenue, expenses, margins, ratios, period-over-period changes
Meeting Transcripts
Decisions, action items, attendees, topics discussed, follow-ups
Strategy Documents
Goals, metrics, owners, timelines, dependencies, risks