Browse skills

Extract structured fields from vat100 documents.

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Extract violation details, fine amounts, vehicle information, and payment deadlines from traffic fine notices.

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Extract property, owner, legal description, liens, mortgages, easements, and tax status from title search reports.

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Extract candidate information from a resume PDF, then generate a formatted employee profile document for HR onboarding.

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Extract landlord, tenant, property, lease dates, rent, deposit, utilities, occupants, and pet terms from residential leases.

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Extract traffic violation data from fine notices, then generate a spreadsheet summarizing all violations for fleet management.

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Extract applicant details from rental application PDFs and generate a side-by-side XLSX for comparing income, employment, and move-in dates.

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Extract applicant details, employment history, income, and references from a rental application form into structured JSON for tenant screening.

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Extract supplier invoice details structured for direct import into ERP systems like SAP, Oracle, or Microsoft Dynamics.

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Extract employee, trip, mileage, per diem, expense lines, VAT, and totals from German travel expense claims.

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Extract receipt number, issuer, payer, date, VAT, and total from French receipts.

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Extract every product from a supplier catalog PDF — SKUs, names, prices, MOQs — and generate a ready-to-import XLSX in two API calls.

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Extract structured fields from t1 general documents.

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Extract merchant, date, amount, and category from receipt photos and PDFs in one call, then generate an XLSX expense report with a totals row.

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Extract merchant, date, line items, tax, and total from receipts.

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Extract structured fields from steuererklaerung documents.

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Extract property address, price, room count, and features from a listing document into structured JSON for MLS and property platforms.

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Extract address, listing price, bedrooms, bathrooms, amenities, and agent contact details from a public listing page.

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Extract property ownership, legal descriptions, encumbrances, and recording details from property deeds and land registry documents.

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Extract structured fields from steuerbescheid documents.

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Extract structured fields from straight bill of lading documents.

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Extract structured fields from t4 slip documents.

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Extract organization name, registration number, status, registration date, and officers from a public registry page.

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Extract receipt number, issuer, payer, date, VAT, and total from German receipts.

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