ExtractFox for your team
The same extractor, pointed at the documents each team handles every week.
Accountants & bookkeepers
Most of what accountants do at month-end is move data from PDFs into spreadsheets. ExtractFox automates the messy part: parsing client-supplied invoices, bank statements, and expense receipts into clean rows you can reconcile, categorize, or import directly into QuickBooks, Xero, or NetSuite. The real pain is the inconsistency — one client emails a 40-page bank PDF, another drops a phone photo of a crumpled receipt, and a third sends a scanned invoice where the totals sit in a different corner every time. You end up re-keying the same fields over and over, fixing shifted columns in Excel, and chasing clients for clearer copies instead of closing the books.
- Accounts payable: invoice intake
Drop a folder of supplier invoices, get a single Excel sheet with vendor, invoice number, due date, line items, tax, and total — ready for AP coding or direct import. The schema stays consistent across vendors so your import maps don't break.
- Bank reconciliation
Drop your client's monthly bank statement PDF — even multi-page archives going back years — and get every transaction as a row with date, description, amount, and balance. Tag with categories and reconcile against the GL.
- Expense reports from receipt photos
Receive an email with 30 receipt photos? Bulk upload, get one row per receipt with merchant, date, total, tax, and a category guess. Paste into Concur, Expensify, or your in-house tracker.
- Annual reports and 10-Ks for prospects
Use the free-text mode to pull specific metrics out of an annual report — revenue, net income, EPS by year — into a comparison table for due-diligence work or onboarding briefs.
- Client tax document intake
During tax season, clients dump W-2s, 1099s, and K-1s in mixed formats — digital PDFs, scans, and phone photos. Bulk-upload the batch and get structured rows with payer, recipient, box amounts, and tax year. Sort by document type before you start entering into your tax software.
Recruiters & HR teams
When 80 applicants drop a CV for a role, the first hour is spent just reading them. ExtractFox parses every CV — including infographic-style designer resumes and two-column layouts — into the same structured shape: name, contact, headline, work history, education, and skills. Sort, filter, and shortlist in Excel before you read a single PDF. The bottleneck isn't finding talent — it's copying contact details into your ATS, comparing tenure across inconsistent formats, and losing track of who already got a callback because the data lives in separate PDFs instead of one searchable sheet.
- Bulk CV intake on a job posting
Drop a folder of 80 PDFs, get one Excel sheet with one row per candidate. Sort by total years experience, filter by skill keyword, shortlist before reading.
- Building a sourcing spreadsheet from LinkedIn exports
Have candidates export their LinkedIn profile to PDF (Profile → More → Save to PDF), drop the batch in, and get the same structured candidate data without any LinkedIn API access.
- Onboarding paperwork: passports, IDs, signed offers
Process new-hire IDs (passport, driver's license) and signed offer letters in bulk during onboarding. Each document type has a focused extractor that hits the fields HR systems need.
- Skills inventory across an existing employee base
Run your current team's CVs through the resume extractor (with consent) and get a skills matrix you can use for project staffing, gap analysis, or training planning.
- Reference and background-check paperwork
Candidates submit employment verification letters, degree certificates, and professional licenses as PDFs or scans. Extract employer name, dates, degree, institution, and license number into rows you can cross-check against the CV before you make an offer.
Real estate teams
Real estate runs on paperwork: leases, purchase contracts, broker listings, inspection reports, mortgage statements. ExtractFox pulls the fields you care about — terms, dates, rent, deposit, party names, defect lists — into structured rows. Compare across deals, build investor reports, or feed your CRM. Every deal ships a slightly different PDF layout, so analysts spend hours opening files one by one to copy rent rolls, option dates, and repair estimates into a comp sheet. One missed escalation clause or wrong deposit amount in a spreadsheet can cost thousands at renewal — and there's rarely a second pass before the investor call.
- Lease abstraction
Drop a lease PDF and get parties, effective date, rent, escalators, term length, renewal options, and key clauses extracted into a clean row. Build a portfolio-wide lease abstract spreadsheet without paying a paralegal.
- Listing data from broker PDFs
Brokers send PDF listings with photos, descriptions, and spec sheets. Use the custom extraction mode to pull address, asking price, square footage, year built, and feature list into a comparable analysis spreadsheet.
- Inspection report defect lists
Home-inspection PDFs run 30+ pages with embedded photos. Extract the defect list as rows: location, item, severity, recommendation. Hand straight to repair contractors.
- Closing paperwork: deeds, mortgages, statements
Bulk-process the document stack at closing. Mortgage statements give monthly payments and balances; deeds give parties and recording details; closing statements give itemized fees.
- Rent roll and operating statement review
Property managers receive monthly rent rolls and T-12 operating statements as PDF exports from legacy systems — often 40 pages with inconsistent column headers. Extract unit number, tenant, lease dates, monthly rent, vacancy status, and operating expense line items into a portfolio-wide spreadsheet for investor reporting, refinance packages, or acquisition underwriting.
Lawyers & legal teams
Legal work is largely information retrieval from dense PDFs: locating a force-majeure clause across 40 contracts, pulling counterparty names and governing-law provisions for a portfolio review, or extracting case dates from a stack of court filings. ExtractFox turns that retrieval into a structured output you can sort, compare, and report on without reading every page. Associates bill hours scrolling for a single data point buried on page 47, and partners can't get a portfolio view until someone finishes a manual abstract. When a counterparty sends a redlined MSA at 6 p.m., the team needs answers tonight — not after a paralegal rebuilds a comparison table from scratch.
- Contract review and clause extraction
Drop a batch of contracts and extract governing law, jurisdiction, termination provisions, limitation-of-liability caps, and key milestones into a spreadsheet. Flag contracts missing a specific clause by filtering for blanks. Works on NDAs, MSAs, vendor agreements, and employment contracts.
- Due diligence document review
M&A due diligence rooms dump hundreds of documents. Use free-text extraction to pull specific reps-and-warranties language, IP assignment clauses, or material contract lists across the full data room without reading each document.
- Lease portfolio abstraction
Extract rent, escalation, option periods, and permitted-use provisions from a portfolio of property leases. Build a comparison matrix in minutes instead of hours of manual review.
- Insurance policy schedule extraction
Pull coverage limits, exclusions, endorsements, and renewal dates from insurance policy schedules submitted in discovery or as part of a transaction. One upload per file; one row per policy in the export.
- Court filing and case document indexing
Use the custom extraction mode to pull filing dates, case numbers, party names, and relief sought from court documents and orders. Build a timeline or index across a large case file.
- Regulatory filing and compliance schedules
Extract filing deadlines, registration numbers, reporting periods, and officer names from SEC filings, state registrations, and regulatory submissions. Build a compliance calendar across a client's entity structure without opening every PDF in the data room.
Finance teams & CFOs
Finance teams spend more time moving numbers from PDFs into spreadsheets than they do analyzing those numbers. ExtractFox automates the data movement: vendor invoices, bank statements, financial statements, purchase orders, and expense receipts all become clean, structured rows in Excel or your ERP — so the team spends time on analysis, not data entry. Month-end close stalls when AP is still keying invoices from 30 different vendor layouts, and treasury can't reconcile until someone manually types 400 bank transactions. Every hour on data entry is an hour not spent on variance analysis, cash forecasting, or the board deck.
- AP invoice processing
Drop a batch of vendor invoices and get vendor name, invoice number, due date, line items with GL code suggestions, tax, and total in one Excel sheet. Same column structure regardless of vendor layout — import maps don't break when suppliers change their template.
- Bank reconciliation
Upload monthly bank statement PDFs — from any bank, any format — and get every transaction as a structured row: date, description, debit/credit, running balance. Paste into your reconciliation spreadsheet or GL import template.
- Financial statement analysis
Use free-text mode to pull specific line items from income statements, balance sheets, and cash-flow statements — revenue, EBITDA, CapEx — across multiple periods or subsidiaries into a comparison table for reporting or budgeting.
- Purchase order matching
Extract PO details (PO number, vendor, line items, delivery date, amounts) to build a matching log against invoices. Catch discrepancies before payment approval.
- Expense report processing
Bulk-process submitted receipt batches into a structured expense log: merchant, date, category, amount, tax. Feed directly into Concur, Expensify, or your in-house tracker.
- Subsidiary consolidation from PDF reports
Operating companies email quarterly P&Ls and balance sheets as PDF attachments with no standard format. Use free-text extraction to pull revenue, gross margin, EBITDA, and cash balance from each subsidiary into one consolidation workbook for group reporting.
Procurement & supply chain teams
Procurement runs on paperwork: purchase orders, supplier contracts, delivery notes, goods-received records, and invoices that all need to agree before payment releases. ExtractFox extracts the structured data from each document type into matching rows so your team can reconcile, flag discrepancies, and close PO-to-payment cycles faster. The pain shows up at month-end when three-way matching means opening three PDFs per line item, and a single unit-price typo blocks payment for a week. Supplier onboarding dumps MSAs and certificates in incompatible formats, so nobody has a single view of payment terms or SLA commitments across the vendor base.
- Purchase order intake and logging
Receive a PDF PO from a buyer or issue confirmation POs to suppliers. Extract PO number, ship-to address, requested delivery date, line items (SKU, quantity, unit price), and total into your procurement log — no rekeying.
- Three-way matching: PO, receipt, invoice
Extract the structured data from each document (PO, goods receipt, supplier invoice) into three parallel rows and compare in Excel. Flag unit-price discrepancies or quantity mismatches before approving payment.
- Supplier contract database
Extract key terms from supplier MSAs and framework agreements: payment terms, warranty periods, SLA commitments, price-review dates, and renewal options. Build a central contract database without a contract-lifecycle platform.
- Inbound delivery note processing
Goods-received notes and delivery confirmations come in as PDF or scanned images from logistics partners. Extract delivery date, carrier, items received, and quantities to update inventory records.
- Vendor quote comparison
Receive quotes as PDFs from three suppliers. Extract vendor, line items, unit prices, lead times, and payment terms into one comparison sheet. Scoring becomes arithmetic instead of side-by-side PDF reading.
- Supplier compliance and certificate tracking
Vendors submit ISO certificates, insurance COIs, and W-9s as one-off PDFs during onboarding. Extract policy number, coverage limits, expiry date, and certificate holder into a renewal tracker — flag expirations before they block a PO.