Document Redaction

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Original Document

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Redacted Document

Example of document redaction applied to a medical form

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Quick Start

from vlmrun.client import VLMRun
from pathlib import Path

client = VLMRun(api_key="<your-api-key>")
file_response = client.files.upload(
    file=Path("path/to/your_document.pdf")
)

response = client.document.execute(
    name="healthcare/phi-redaction",  # Change based on your use case
    version="latest",
    file_ids=[file_response.id],
    batch=True
)

completed_response = client.predictions.wait(response.id, timeout=120)
redacted_uri = completed_response.response["redacted_uri"]
print(f"Redacted document: {redacted_uri}")

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Industry-Specific Agents

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Key Use Cases

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Healthcare & Insurance

• Medical Records: Redact PHI for research and sharing
• Insurance Claims: Remove sensitive medical and personal information
• Clinical Data: Protect patient privacy in studies and trials

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Financial Services

• Loan Applications: Redact personal financial information
• Account Statements: Remove sensitive account details
• Compliance Reports: Prepare regulatory submissions
• M&A Documents: Protect proprietary information during due diligence

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Legal & Government

• Court Filings: Prepare public documents with protected information
• FOIA Requests: Redact exempt information for public release
• Discovery Materials: Redact sensitive information during legal processes
• Attorney Communications: Protect privileged information

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HR & Recruitment

• Resume Processing: Enable blind hiring by removing bias-inducing information
• Employee Records: Protect personal and sensitive employee data
• Background Checks: Remove sensitive verification data

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Information Types Redacted

• Personal Identifiers: Names, SSNs, account numbers, driver’s licenses
• Contact Information: Addresses, phone numbers, email addresses
• Financial Data: Account balances, salary information, credit scores
• Medical Information: PHI, medical record numbers, health conditions
• Legal Information: Case numbers, settlement amounts, privileged communications
• Geographic Data: Addresses, ZIP codes, neighborhood information

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Complete Example

from vlmrun.client import VLMRun
from vlmrun.client.types import PredictionResponse, FileResponse
from pathlib import Path

# Initialize the client
client = VLMRun(api_key="<your-api-key>")

# Upload your document
file_response: FileResponse = client.files.upload(
    file=Path("path/to/your_document.pdf")
)

# Submit for redaction (choose appropriate agent)
response: PredictionResponse = client.document.execute(
    name="healthcare/phi-redaction",  # Change based on your use case
    version="latest",
    file_ids=[file_response.id],
    batch=True
)

# Wait for completion
completed_response = client.predictions.wait(response.id, timeout=120)

# Access results
redacted_uri = completed_response.response["redacted_uri"]
redacted_items = completed_response.response["redacted_items"]

print(f"Redacted document: {redacted_uri}")
print(f"Redacted items: {redacted_items}")

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Example Response

{
  "id": "052cf2a8-2b84-45f5-a385-ccac2aae13bb",
  "status": "completed",
  "response": {
    "redacted_uri": "https://storage.googleapis.com/vlm-userdata/agents/healthcare/phi-redaction/redacted-document.pdf",
    "redacted_items": [
      {
        "phi_type": "name",
        "confidence": "high",
        "count": 3
      },
      {
        "phi_type": "date_elements",
        "confidence": "high",
        "count": 8
      },
      {
        "phi_type": "telephone_number",
        "confidence": "high",
        "count": 2
      }
    ],
    "compliance_standards": ["HIPAA", "Safe_Harbor"],
    "processing_time": "38.7 seconds"
  }
}

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Benefits

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Operational Efficiency

• Automated Processing: Reduce manual redaction time from hours to minutes
• Batch Operations: Process large document volumes efficiently
• Error Reduction: Eliminate human errors in manual redaction processes
• Scalability: Handle growing document volumes without additional staff

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Compliance & Security

• Regulatory Compliance: Meet industry-specific requirements (HIPAA, PCI DSS, SOX, GDPR, etc.)
• Data Breach Prevention: Irreversible redaction prevents data recovery
• Audit Trail: Comprehensive logging for compliance verification
• Legal Protection: Reduce liability from accidental data exposure

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Cost Savings

• Reduced Manual Labor: Automate time-consuming redaction tasks
• Lower Error Costs: Prevent expensive compliance violations
• Improved Productivity: Focus staff on high-value activities
• Scalable Operations: Handle volume increases without proportional cost increases

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Supported Documents

• PDF Documents - Reports, contracts, legal briefs, medical records
• Scanned Images - Faxed documents, handwritten forms, ID cards
• Multi-page Documents - Complete case files, comprehensive reports
• Mixed Content - Documents containing both text and images
• Spreadsheets - Financial models, budget documents, transaction records

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Security Features

• 🔒 Encryption: All documents encrypted in transit and at rest
• 🏛️ Regulatory Compliance: Meets industry-specific standards
• 🔑 Access Controls: Role-based access and authentication
• 📝 Audit Logging: Comprehensive audit trails for all activities
• ⏰ Secure URLs: Time-limited, secure access to redacted documents
• 🚫 Irreversible Redaction: Permanent data removal prevents recovery

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Real-World Examples

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Healthcare PHI Redaction

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Legal Document Redaction

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Insurance Document Redaction

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Race Blind PII Redaction

Industry-specific redaction examples

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Related Capabilities

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Try our Document -> JSON API today