HOA Documents Extractor

Extract the association, document type, covenants, fees and assessments, board members, and amendments from an HOA or strata document PDF.

The full guide: CC&Rs, HOA dues, and special assessments

How should we start?

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Start with a document

Upload a file or pick a sample, and see the fields come back.

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Questions about HOA Documents Extractor.

What does the HOA documents extractor read?

The document number and date, the document type (enum, such as bylaws, CC&Rs, amendment, meeting notice, assessment notice, or architectural guideline), the HOA name and registration number, the property address, city, state, zip, and country, the total units, and the governing law.

How are the covenants and restrictions returned?

The restriction type (enum, such as architectural, use, animal, commercial, exterior, or parking) and the restriction description come back as fields, and the covenants and restrictions table returns each covenant with its type, description, and effective and expiration dates.

Which fee and assessment fields come out?

The monthly fee, the fee type (enum, such as maintenance, reserve, special, or improvement), the total amount, and the currency come back as fields, and the fees and assessments table returns each fee with its type, monthly and total amounts, currency, and due date.

Are the board members, rules, and units returned as tables?

Yes. The board members table returns each member with its title and term dates; the rules and regulations table returns each rule with its title and description; the amendments table returns each amendment number, date, and description; and the unit information table returns each unit with its address, type, owner, and lot size.

What are the file limits and privacy terms?

PDF only, up to 10MB and 100 pages. The document is processed via the Talonic API for extraction only, is not retained for training, and is not shared.

Doing this to one file, or to ten thousand?

The tool reads a single document. The platform reads the whole estate once and keeps it queryable — the same engine, with a memory.

See PDF to Markdown if you run this for data and platform teams, or the extraction API if you are building it in.