AI Document Safety Scanner helps you inspect documents before submitting them to an AI system, RAG pipeline, document-processing workflow, or other automated service. It scans document content for instruction-like text, hidden Unicode characters, personal-information indicators, credentials and secret patterns, suspicious URLs, embedded content, scripts, and other signals that may deserve review.
Document Safety Scanner
Browser-side heuristic scan. It flags safety indicators for review; it does not prove that a document is malicious or safe.
What Is an AI Document Safety Scanner?
An AI Document Safety Scanner is a document-inspection utility designed for workflows where files may eventually be processed by AI.
Documents can contain more than visible business or informational content. Depending on the file and its contents, they may include hidden characters, embedded elements, links, scripts, credentials, personal information, or instruction-like text.
The PKCapra AI Document Safety Scanner provides a first-pass inspection of document content and reports potentially sensitive or suspicious indicators before the content is passed into an AI workflow.
Why Scan Documents Before Using AI?
AI systems increasingly process content from sources such as:
- Uploaded documents
- PDFs
- DOCX files
- HTML pages
- Text files
- Knowledge bases
- Retrieved documents
- Customer submissions
- Internal business files
A document may contain information that was not expected to be included in an AI workflow.
For example, a file may contain:
- Personal information
- API keys
- Credentials
- Suspicious URLs
- Hidden Unicode characters
- Embedded scripts
- Instruction-like text
- Hidden HTML elements
Scanning the content first can help identify items that deserve human review.
What Does the AI Document Safety Scanner Check?
Instruction-Like Content
The scanner can identify patterns that resemble instructions or commands within document content.
This is particularly relevant when documents will be processed by an AI system because instruction-like text inside a document may need to be treated as data rather than trusted system instructions.
Hidden Unicode Characters
Some Unicode characters are not visually obvious but can affect how text is interpreted.
The scanner checks for indicators such as:
- Zero-width characters
- Bidirectional Unicode controls
- Other potentially hidden Unicode patterns
These findings can help identify text that does not appear obvious during normal visual inspection.
Personal Information Indicators
The scanner can identify common indicators of personal information, including email addresses and other detectable patterns.
A finding does not automatically mean that the information is sensitive in context, so results should be reviewed before taking action.
Credentials and Secrets
The scanner checks for recognizable secret and credential patterns.
Examples include:
- API-key-like strings
- Credential indicators
- AWS access-key patterns
- Private-key blocks
Detecting a pattern does not prove that a value is active or valid. It identifies content that may require review.
URLs
External URLs can be identified during scanning.
This can help reviewers inspect links contained in documents before those documents are processed by automated systems.
Embedded HTML Content
HTML documents and HTML-like content can contain elements that deserve additional review.
The scanner checks for indicators such as:
- Hidden HTML
- Script elements
- Iframes
- Embedded content
- JavaScript indicators
Executable or Script References
The scanner can identify patterns associated with scripts or executable content.
These findings can help reviewers determine whether a document contains content that should be treated differently before entering an automated processing workflow.
Supported Scanning Methods
The tool supports document-content inspection through file upload and text input.
Depending on the content provided, you can scan formats such as:
- TXT
- HTML
- DOCX
You can also paste document text directly into the scanner when working with extracted or copied content.
How to Use the AI Document Safety Scanner
1. Select the Document
Upload the document you want to inspect, or provide its text directly.
2. Start the Scan
Run the document through the scanner.
The tool analyzes the available content for predefined safety indicators.
3. Review the Findings
Examine the detected findings and their associated categories.
Pay particular attention to findings involving credentials, personal information, hidden characters, scripts, or instruction-like content.
4. Check the Risk Level
The scanner provides an overall risk indication based on the detected patterns.
Treat this as a screening signal rather than a definitive security assessment.
5. Investigate Important Findings
Review the original document and determine whether each finding is expected, legitimate, sensitive, or potentially suspicious.
6. Decide Whether the Document Is Ready
After reviewing the results, determine whether the document is appropriate for the intended AI workflow.
Depending on the findings, you may choose to remove sensitive information, sanitize the document, or investigate its source before continuing.
AI Document Safety Scanner for RAG Workflows
Retrieval-augmented generation systems frequently process documents from multiple sources.
Before adding documents to a knowledge base, it can be useful to inspect them for content that may affect downstream AI processing.
A practical workflow can be:
Document → Safety Scan → Review Findings → Sanitize if Necessary → Index → Retrieve → AI Processing
Instruction-like content deserves particular attention because retrieved text should not automatically be treated as authoritative instructions.
For dedicated document-level prompt-injection analysis, the upcoming document-security toolset can complement this broader safety scan.
AI Document Safety Scanner vs AI Prompt Injection Test Generator
The AI Prompt Injection Test Generator creates controlled adversarial scenarios for testing AI prompt-security behavior.
The AI Document Safety Scanner instead examines document content for indicators that may deserve review before that content enters an AI workflow.
In simple terms:
- Document Safety Scanner: inspect the document.
- Prompt Injection Test Generator: test the AI application’s defensive behavior.
Both can be useful in an AI security workflow.
AI Document Safety Scanner vs AI PII & Secret Scanning
The AI Document Safety Scanner provides broader first-pass document inspection.
It can look for multiple categories, including hidden Unicode, instruction-like content, URLs, embedded content, scripts, PII indicators, and secret-like patterns.
A dedicated AI PII & Secret Scanner can be used when the primary objective is specifically identifying personal information, credentials, API keys, and other secrets.
Recommended Document Safety Workflow
For documents that will be processed by an AI system:
- Collect the source document.
- Scan it with the AI Document Safety Scanner.
- Review suspicious or sensitive findings.
- Remove or sanitize information that should not be submitted.
- Review instruction-like content.
- Check document structure and extractability where appropriate.
- Add the document to the intended AI or RAG workflow.
- Monitor the resulting AI behavior.
For sensitive workflows, document scanning should be combined with appropriate access controls and application-level security measures.
Examples of Documents Worth Scanning
Document safety screening can be useful for:
Internal Business Documents
Before sending internal reports, procedures, or operational documents to an AI system, inspect the content for credentials, personal information, and unexpected embedded material.
Customer Documents
Customer-provided files may contain personal information or content that was not anticipated by the AI workflow.
Knowledge-Base Documents
Documents entering a RAG knowledge base can be screened before indexing.
Research Material
Research files may contain external URLs, copied content, hidden characters, or other elements worth reviewing before automated processing.
Web-Derived Content
HTML or copied web content may contain scripts, embedded elements, links, and instruction-like text.
Important Limitations
The AI Document Safety Scanner is a screening tool, not a complete security audit.
Pattern-based detection can produce false positives and false negatives. A detected pattern does not necessarily mean that a document is malicious, and an absence of findings does not prove that a document is completely safe.
The scanner also cannot determine the business context or intent of every piece of content.
Important documents should therefore receive appropriate human review and, where necessary, additional security analysis.
Sensitive credentials and personal information should not be exposed merely because a scanner identifies them. Handle findings according to your organization’s security and privacy procedures.
Frequently Asked Questions
What is an AI Document Safety Scanner?
It is a tool that scans document content for potentially sensitive or suspicious indicators before the content is submitted to an AI or automated processing workflow.
What file types can it scan?
The tool supports content from formats including TXT, HTML, PDF, and DOCX, along with directly pasted text.
Can it detect prompt-injection-like content?
It can identify instruction-like patterns that may deserve review. It should not be treated as a complete prompt-injection detector.
Can it find API keys?
It can identify recognizable API-key and credential-like patterns. A detected pattern should be manually reviewed to determine whether it represents an actual secret.
Can it detect hidden Unicode?
Yes. The scanner checks for indicators including zero-width and bidirectional Unicode control characters.
Does it detect personal information?
It can identify common PII indicators such as email-address patterns and other detectable content patterns.
Does the scanner upload my document?
The tool is designed for browser-side processing and does not require an external AI or scanning API to perform its checks.
Does a low-risk result mean the document is completely safe?
No. A scanner result is a screening signal, not a guarantee of safety. Important documents should still receive appropriate review and security controls.
Should I scan documents before adding them to a RAG system?
Scanning can be a useful pre-processing step for identifying content that deserves review before indexing or retrieval.
Conclusion
AI Document Safety Scanner provides a browser-based first-pass inspection for documents that may be processed by AI systems, RAG pipelines, or automated workflows. It can identify instruction-like content, hidden Unicode characters, PII indicators, credential and secret patterns, URLs, embedded content, and script-related indicators.
Use the findings as signals for further review rather than treating them as a definitive security verdict. For sensitive AI workflows, combine document scanning with sanitization, access controls, validation, and appropriate security testing.