Combining the extraction engine with a data pipeline, every uploaded document is read for text and scanned for PII patterns in real time. Operator dashboard, false-positive review, batch analysis — all in one place.
Posts, attachments, public-disclosure documents, internal docs — personal information hides everywhere, and finding it after the fact is too late.
We combine our extraction engine (Docpler) with data engineering pipelines so the moment a file uploads, the text is extracted and PII patterns surface immediately. Both real-time and batch modes are supported.
Proven in deployments at public-sector institutions like the Korea Tourism Organization and the Korea Copyright Commission.
Text is extracted and PII patterns are scanned the moment a file uploads — without breaking the user flow.
Documents already accumulated in the system can be analyzed in batch — useful for periodic and ad-hoc audits.
HWP, PDF, Office, images — the same detection runs across every business document format.
Detection trends visualized over time, with detected items exposed for false-positive review.
Plugs into board, CMS, or upload modules via SDK or REST API. Existing user experience stays intact.
Detection patterns and masking rules adapt to your privacy-protection policy. Compliance requirements come through directly.
Delivered as an SDK so detection runs at the moment of upload, applied to the existing board features without breaking the user experience while still meeting privacy-protection policy. The service operator gets a dashboard to track detection trends, with detected items exposed for false-positive review.
For systems that need to analyze documents in real time or in batch to detect PII, the text extraction tool — distributed as an SDK — proved a clean fit.