For developers, system architects, and compliance teams building secure, privacy-first workflows, secure redaction is an essential tool.
Redaction protectssensitive information, safeguards privacy, and enables compliance with legal and regulatory requirements. When sensitive, confidential documents need to be distributed to a wider audience, true redaction is an essential document processing feature for a variety of workflows.
Read this guide to learn more about redaction, including the redaction lifecycle, data models, regex automation, UX design, and enterprise deployment strategies.

Redaction refers to the permanent removal of sensitive or confidential data from a document. Digital documents contain more data than meets the eye, and so redaction of digital documents requires a secure, reliable process, not just hiding sensitive information from view. Secure, true digital redaction involves selectively marking or deleting specific content, such as personal identification numbers, financial data, or confidential paragraphs while preserving the integrity and structure of the document. Apryse’s Redactor APIs remove text, images, and vector graphics within a marked region.
When redacting PDF documents, it is essential to completely remove confidential information from the document, not just obscure or mask it. A common mistake is to open the document and draw a black rectangle over the text to be redacted. However, this only adds the rectangle as an image layer on top of the original content, which can easily be removed to reveal the “redacted” text underneath.
Many of us are trained to use computers based on a “what you see is what you get” concept. This is great for tasks like text editing and formatting, but has led to serious breaches when it comes to data redaction.
For example, a recent Federal Court case in Canada included improperly redacted documents. In the case, the judge approved a request to redact certain parts of a document in the interest of national security. However, when the documents were received, lawyers were stunned to find the redaction had been done simply by highlighting text in black, then converting to PDF. Of course, this text could easily be revealed using copy and paste.
In another high-profile incident, the tech giant Meta published a slide deck that included redacted sensitive information, as part of its trial with the Federal Trade Commission. However, many of the reporters who received the deck found the redactions to be easily removable. Meta sent out an email, stating, “the version you received included redactions that we now understand can be manipulated to reveal the underlying information, which was inadvertent.”
if content is hidden in such a way that it still exists in the document or metadata, even if it’s not visible, it’s retrievable. A fewbasic methods of retrieving improperly redacted text include copy and pasting, checking the revision history of the document, and document conversion.
Annotations that mark areas of the PDF for redaction. They can exist as a text selection or rectangle to redact text or an area of a page respectively. Redaction annotations are not redactions, they mark content areas to be redacted. This helps teams and individual users prepare, plan and review redactions before content is destroyed.
Using regular expressions, developers can create a search term which will match strings that meet certain criteria. Regex redaction allows all the text in a document returned by a given regex pattern to be automatically annotated for redaction. For example, the regex pattern \b[\w]{2}[\d]{6}\b. returns Canadian passport numbers.
Apart from visible content, the Apryse WebViewer SDK also redacts document metadata, such as author names, timestamps, or revision history. This comprehensive approach ensures that all potentially sensitive information is protected.
Similar to regex redaction, pattern matching is a feature of a PDF redaction tool that allows users to automatically flag all text that match a certain pattern, such as telephone numbers, addresses or credit card numbers.
A file format used to store and exchange data for PDF forms and annotations in an XML-based structure. Redaction annotations are stored in XFDF format. While redacted data is not retrievable from an XFDF file, this file storing redaction annotation data can be stored for traceability and audit purposes.
With Apryse SDK, once redaction annotations are added to the document, the applyRedactions API is called to remove the text, images or page areas to be redacted from the PDF document’s content stream. This cannot be reversed. This is a key step in the redaction lifecycle.
Apryse SDK handles full-lifecycle redaction, from marking, to review, to applying the secure redactions and verification. With regex and OCR support, multi-format handling via conversion for Office documents and images to PDF, and flexible deployment, Apryse delivers on the full scope of your redaction requirements.
Offers interactive redaction tools with mark-and-apply flow (requires enableRedaction and Full API or WebViewer Server to apply).
Offers programmatic redaction for automation and batch jobs.

Apryse enables this end-to-end redaction workflow ensuring document and data security.
First, locate text, images, or patterns for removal. Use text search, regex or pattern matching.
Create temporary redaction annotations (rectangles or text selections), serialized in XFDF. This can be done via UI or programmatically.
Approve, edit, or remove marks; optional commenting via the annotation layer before applying. (Standard annotation import/export applies.)
Apply redactions to permanently remove underlying content using Redactor APIs. This destroys text, images, and vector data in the region, and is irreversible.
Reopen and inspect the redacted document to confirm irreversibility.
Export redaction annotations (pre-apply) and related metadata as XFDF for audit trails, or store them server-side post-apply.
Automate your redaction process to empower secure document workflows at scale. Streamline how sensitive information is identified and removed across your organization with powerful automation tools that ensure consistency, compliance, and efficiency.
Automatically locate and redact common sensitive data types such as emails, credit card numbers, and other PII. Define custom patterns to meet your organization’s specific privacy and compliance needs.
Run batch redaction tasks at scale by integrating Redactor into your existing systems or workflows. Execute redaction operations as parallel jobs or automated pipelines, minimizing manual intervention and speeding up processing times.
Convert scanned documents into searchable, selectable text before redaction. Ensure no sensitive data remains hidden in unsearchable content, improving accuracy and compliance.
Fully automate the redaction lifecycle from detection and review to export using your own app or server code. Build dynamic, event-driven workflows that trigger redaction actions in real time for end-to-end document security.
Deliver an intuitive, inclusive redaction experience with WCAG 2.2 Level AA–compliant UI in WebViewer. The interface supports accessible, efficient workflows that meet modern usability and compliance standards.
Provide a guided experience with a dedicated redaction toolbar (text and area), a smart search panel, and a clear “Apply” step to confirm changes. These elements simplify the process and reduce user errors.
Allow users to adjust overlay colors, text labels, and visual indicators to match accessibility requirements such as contrast, making redaction marks and applied areas more usable.
Enhance usability with keyboard shortcuts, screen reader support, and clear state transitions (marked → applied), ensuring more users can perform secure, compliant redactions confidently.


Leverage the Server SDK redaction APIs to power high-volume, scalable document workflows within your own multi-process or containerized pipelines. Designed for programmatic and batch operations, the API enables parallel job execution to maximize performance and throughput. For Office files or images, convert to PDF first on the client or server side to standardize input formats and create a consistent, efficient redaction pipeline.
Scanned PDFs need to go through OCR (Optical Character Recognition) first; otherwise, search-based redaction may miss text embedded in images or non-selectable content.
Regex is powerful, but not foolproof. It can sometimes miss data or over-match unintended content. To improve accuracy, try using pattern matching, included in Apryse Redaction SDK.
Page rotations and cropping can shift text coordinates, which may cause redaction marks to appear in the wrong locations. Always account for these transformations when interpreting or applying redaction coordinates, and review these documents after redactions are applied.
No. Flattening only merges annotations visually. It doesn’t securely remove underlying content. With Apryse redaction, the apply step is what permanently deletes the redacted data from the document, ensuring true content removal and compliance.
Provide an interactive redaction UI in the browser for marking, reviewing, and applying redactions, powered via the Full API or Server URL for secure real-time workflows.
Automate redaction by importing XFDF marks, applying them, and saving results in background jobs, enabling high-volume processing without user intervention.
Combine client and server operations: client creates marks → export XFDF → server applies redactions → client displays the final output, ensuring secure and consistent results.
Integrate redaction into ECM or RPA pipelines, triggering it during ingestion or classification via Apryse APIs to remove sensitive information early in the workflow.
Does the SDK support detecting sensitive data (emails, SSNs, phone numbers) using customizable regex patterns?
Can patterns be refined to reduce false positives and negatives?
Can the SDK perform OCR on scanned PDFs or image-based documents?
Does OCR output make text searchable for redaction purposes?
Are redactions permanently applied to remove underlying content, not just visually flattened?
Can redactions be reviewed and confirmed before being applied?
Can existing redaction marks be imported via XFDF for automated or hybrid workflows?
Can redaction marks be exported in XFDF format for persistence or server-side application?
Does the SDK support workflows where client marks are exported, applied on a server, and returned to the client?
Can it handle multi-process or containerized deployments for high-volume workflows?
Can the SDK export a complete log of redactions for compliance and traceability?
Does it provide audit-ready information on who marked, applied, or reviewed redactions?

The Apryse SDK for Redaction provides extensive API coverage for marking, reviewing, and applying redactions across multiple document types. Its robust regex support enables precise detection of sensitive data, and sample applications offer practical guidance for implementing both simple and complex workflows, helping developers integrate redaction efficiently.

The Apryse SDK supports on-premises and hybrid deployments, giving organizations control over where data is processed. Designed for high-volume, parallelized workflows, it delivers reliable performance at scale and integrates with operational pipelines. Granular permissions, audit exports, and hybrid workflows help enterprises enforce compliance and streamline redaction across the organization.
Easily mark, review, irreversibly apply and verify your redactions with Apryse. Create smoother redaction workflows with regex for automation, conversion, and XFDF for auditability.
Enable your end-to-end redaction path across WebViewer and Server SDKs.
Check out the links below to view the demo, get your trial key and get set up using the documentation guide.