Nextraxion extracts structured data from any document type — contracts, invoices, CVs, lease agreements, purchase orders, and more. Define your fields once. Works on every document, every time.

Document data extraction is the process of automatically reading unstructured documents — PDFs, scanned images, Word files, and more — and pulling out specific structured fields: dates, party names, monetary totals, reference numbers, clauses, and anything else your team needs to capture. Instead of manually reading every document and copying values into a spreadsheet or system, AI locates and returns each field as structured, exportable data. The result is the same output you'd get from manual review, delivered in a fraction of the time.
Without automated document data extraction, teams spend hours — often days — reading documents and copying values into trackers, ERPs, or accounting systems by hand. This process is slow, expensive, and error-prone: a missed clause, a misread date, or a transposed figure can have significant downstream consequences. As document volumes grow, the problem compounds. Data extraction software eliminates the manual step entirely, freeing your team to focus on decisions rather than data entry.
Nextraxion is built as a general-purpose document data extraction platform. Rather than training a separate AI model for each document type, you define a template — name your document type, choose your fields, and optionally upload a few examples. The AI learns what to look for and applies that extraction logic to every document you upload, regardless of layout variation between suppliers, vendors, or counterparties. One platform handles contracts, invoices, CVs, lease agreements, purchase orders, and any other document type your team encounters.
Build a template for any document type. Nextraxion extracts the same fields every time, no matter how different each document looks.
Parties, dates, payment terms, governing law
Invoice number, supplier, VAT, totals, due dates
Name, skills, experience, education, contact
Tenant, rent, term, deposit, break clauses
Vendor, quantities, pricing, delivery terms
Build a custom template for any document
Name your document type and define the fields. AI suggests the most common fields automatically.
PDF, Word, or scanned files. Upload one or hundreds — batch processing runs overnight.
Every field comes back with a confidence score and the exact source text it came from. Export to CSV or JSON, or connect via API.

Automate invoice and purchase order data entry — pulling totals, VAT and payment terms directly into your accounting system without manual re-keying. Document data extraction cuts processing time from minutes to seconds per document and reduces costly input errors.
Extract supplier details, delivery dates, and reference numbers from incoming documents at scale. Whether you're processing hundreds of POs a week or managing a document intake pipeline, automated extraction keeps your operations data accurate and up to date without manual intervention.
Pull key dates, obligations, and clause data from contracts and lease agreements across your entire portfolio. Document data extraction lets legal ops teams audit their contract base, track renewal windows, and flag liability clauses — without reading every document individually.
Process hundreds of CVs and application forms consistently, extracting candidate name, contact details, work history, education, and skills into a structured format ready to import into your ATS or HR system. Spend time evaluating candidates, not copying data.
Every field
scored for confidence
< 10 min
first extraction
$69/mo
starter plan
No IT team. No complex setup. First extraction in under 10 minutes.
Starter from $69/mo · No credit card required
Manual contract review takes hours. Here's how modern extraction tools pull the data you need — automatically.
A practical guide to contract data extraction fields — from parties and dates to payment terms and custom fields.
The honest answer — including how confidence scoring works and how to build a review process that catches the gaps.
A plain-English guide to the six things worth checking before you upload a contract, invoice, or NDA to any cloud tool.
How HR teams use automated CV extraction to process high volumes of applications faster, with consistent structured data for every candidate.
How property managers use lease abstraction software to automatically extract critical dates, rent reviews, and break clauses from lease agreements.