Data Subject Access Request Extractor

Extract the requester, data categories requested, scope, response deadline, verification method, and status from a GDPR data subject access request PDF.

The full guide: DSAR requester, scope, and the one month deadline

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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 Data Subject Access Request Extractor.

What does the data subject access request extractor read?

The request number and date, the letter sender and recipient, the letter date and subject, the data subject name, email, phone, address, and identification number, the organization (data controller) name and contact, and the request purpose.

Is a DSAR the same as a DPA or a DPIA?

No. A DSAR (Data Subject Access Request) is the request an individual sends to an organization to exercise their GDPR right of access to their personal data. A DPA is the contract between a data controller and a data processor, and a DPIA is a risk assessment of a processing activity. For those use the DPA or DPIA extractors.

Which scope and deadline fields come out?

The data categories requested (array), the scope of request (time period, systems, or activities), the response deadline (typically 30 to 45 days depending on jurisdiction), the response format (enum), the verification method, and the request status (enum, such as received, in progress, completed, or denied) each come back as fields.

Are the data categories, activities, and timeline returned as tables?

Yes. A data categories table returns each category name, whether it was requested, and its response status; a processing activities table returns each activity, its legal basis, and whether data is held; a data recipients table returns each recipient name, category, and whether data was transferred; and a request timeline table returns each event date, type, and description.

The request contains personal data. What happens to it?

The request is processed via the Talonic API for extraction only, is not retained for training, and is not shared. Redact identification numbers where your workflow allows. PDF only, up to 10MB and 100 pages.

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.