Statement of Work Extractor

Extract the client, vendor, project scope, deliverables, milestones, payment schedule, and the key legal clauses from a statement of work PDF. Free, no signup.

The full guide: Deliverables and acceptance criteria in a statement of work

How should we start?

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Need to scale? Create an API key, then run this from your own code or an agent.

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Start with a document

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

No signup · nothing stored

Questions about Statement of Work Extractor.

Does the SOW extractor pull out the deliverables and milestones?

Yes. The deliverables table returns each deliverable ID, name, description, due date, acceptance criteria, and status, and the milestones table returns each milestone ID, name, target date, associated deliverables, and payment trigger, so the plan becomes a list you can track.

Which parties and project details are captured?

The client and vendor names with their contact persons, the project title and description, the document, effective, and expiration dates, the project start and end dates, the total contract amount and currency, and the payment terms.

Are the legal clauses extracted?

The governing law, termination for convenience, IP ownership assignment, confidentiality and NDA, cap on liability, indemnification, warranty duration, change of control, insurance, audit rights, and anti-assignment provisions are each read as their own field.

How are payments and resources returned?

The payment schedule table returns each payment ID, amount, currency, due date, trigger condition, and invoice terms, and the resource allocation table returns each resource type, name, allocation percentage, and start and end dates, alongside the assumptions, exclusions, and acceptance criteria.

What are the file limits and is the SOW kept?

PDF only, up to 10MB and 100 pages. The statement of work is processed via the Talonic API for extraction, 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 document data extraction if you run this for legal and commercial teams, or the extraction API if you are building it in.