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Control Redaction Accuracy with AI Confidence Scoring 

VIDIZMO Redactor assigns a confidence score to every AI detection, whether it is a face, license plate, weapon, or PII pattern. You decide the threshold. Only detections that meet your accuracy standard get applied. Everything else is flagged for review. No guesswork. No blind trust in automation. Full control over what gets redacted and what gets a second look. 

Control Redaction Accuracy with AI Confidence Scoring

What Is a Confidence Score in Redaction? 

A confidence score is a numerical value (expressed as a percentage) that indicates how certain the AI model is about a specific detection. A score of 90% means the model is highly confident the detected element is correct. A score of 50% means the detection is uncertain and may need human review. 

VIDIZMO Redactor generates confidence scores for every detection across video, image, audio, and document workflows. You set the minimum threshold, and the system only applies redaction to detections that meet or exceed it. Anything below the threshold is surfaced for analyst review instead of being applied automatically. 

Key Benefits:

  • Set a confidence threshold between 25% and 90% to control what gets redacted automatically 
  • Review individual confidence scores for every detection before finalizing 
  • Reduce false positives by filtering out low-confidence results 
  • Adjust sensitivity per content type based on risk level and compliance requirements 
What Is a Confidence Score in Redaction

Eliminate False Positives with Threshold Controls  

Over-redaction damages content usability. Under-redaction creates compliance risk. Confidence thresholds let you define the exact accuracy level required before redaction is applied. 

Capabilities Include: 

  • User-definable confidence threshold from 25% to 90% 
  • Only detections at or above your threshold are applied automatically 
  • Low-confidence detections are flagged for manual review instead of being discarded 
  • Separate threshold settings can be configured per content type or workflow 
  • Reduces unnecessary redaction of non-sensitive content that AI misidentifies 
Eliminate False Positives with Threshold Controls

Prioritize High-Accuracy Detections Automatically 

When processing large volumes of content, not every detection deserves equal attention. Confidence scoring lets your team focus review time on uncertain results while high-confidence detections are handled automatically. 

Capabilities Include:

  • AI model size selection to balance accuracy and processing speed: Small (faster), Medium (balanced), Large (highest accuracy)
  • Frame-by-frame tracking threshold (3 to 30 consecutive frames) to validate detections in video before applying redaction
  • Contextual AI recognition using NLP and LLMs for semantic PII detection beyond simple pattern matching
  • Confidence scores generated for all detection types: faces, people, heads, plates, vehicles, weapons, screens, PPE, text, and custom objects
  • Scores also apply to PII pattern detection across 40+ built-in types and custom regex patterns 
Prioritize High-Accuracy Detections Automatically

Validate Results Before Applying Permanent Redaction 

Confidence scores are only useful if your team can act on them. VIDIZMO Redactor provides review tools that let analysts inspect, compare, and approve detections before redaction becomes permanent. 

Capabilities Include: 

  • Split-screen comparison to view original and redacted content side by side
  • Transparent redaction mode for internal QA review before generating final output
  • Annotation support for exemption codes, redaction reasons, and reviewer notes on each detection
  • Workflow modes: fully automated (zero-touch), semi-automated (human oversight), or manual review
  • Redaction copy generation to preserve the original file while exporting a separate redacted version 
Validate Results Before Applying Permanent Redaction

Built for Security, Privacy, and Compliance

VIDIZMO Redactor is designed for secure environments where sensitive data must remain protected throughout review and release. 

Enterprise-Grade Controls

Compliance Alignment

How Confidence Scoring Works

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Upload Content

Ingest video, audio, images, or documents from case systems, shared drives, or bulk upload.

Configure Accuracy Settings

Configure Accuracy Settings

Set your confidence threshold, select AI model size, and define frame tracking requirements. Choose your workflow mode (automated, semi-automated, or manual).

Review Scored Detections

Review Scored Detections

AI processes the content and assigns a confidence score to every detection. Review scores, compare original vs redacted using split-screen, and approve or reject individual detections.

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Export Validated Output

Download or share redacted files with full audit trails. Every score, threshold decision, and reviewer action is logged for defensible outcomes.

Why VIDIZMO

VIDIZMO Redactor supports compliance-driven redaction programs with governance, consistency, and secure release workflows so teams can deliver redacted content confidently at scale. 

Flexible Deployment Options

VIDIZMO supports secure deployment models to meet organizational requirements: 
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On-Premise

Full control over infrastructure, data, and security policies—ideal for strict residency and compliance needs.

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Private Cloud

Dedicated cloud environment with enhanced security and isolation, combining scalability with operational control.

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Government Cloud

Built to meet government-grade security and compliance standards. Supports regulated frameworks.

Hybrid Environments

Hybrid Environments

Integrates on-prem and cloud deployments seamlessly while keeping sensitive workloads secure.

Use Cases Across Industries

Law Enforcement

Manually redact critical details in evidence when context matters, such as unique identifiers, informant details, or sensitive scene elements. Combine automation with analyst oversight to support CJIS-aligned workflows and defensible disclosure.

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Legal 

Protect privileged and confidential information in discovery, exhibits, recordings, and filings. Manual redaction ensures accuracy for nuanced content and enables consistent outputs across productions.
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Healthcare 

Safeguard PHI in scanned records, recorded consultations, and supporting media. Manual refinement helps ensure HIPAA-aligned redactions when identifiers are complex or poorly captured.

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Government 

Meet FOIA and public records requirements by applying careful, context-aware redactions, especially for sensitive terms, protected categories, or unique identifiers requiring human judgment.

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Call Centers 

Manually refine redactions in recorded calls where speech is unclear, overlapping, or context-dependent. Reduce risk while maintaining recording usability for QA and dispute resolution.

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Education 

Protect student and staff privacy in incident reports, recordings, and documentation. Manual tools support FERPA-related redactions when sensitive information is nuanced or case-specific.

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Finance 

Ensure accuracy when redacting account details, identifiers, and confidential references in customer documentation and recorded interactions—supporting compliance and risk reduction.

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Transportation 

Redact incident evidence, operational footage, and reports where unique visuals, identifiers, or sensitive context require manual control for accurate release.

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Validate Every Redaction Before It Goes Final

Control every detection, validate every result, and produce audit-ready redacted output with AI confidence scoring. 

Frequently Asked Questions

What is a confidence score in object detection? 
A percentage that reflects how certain the AI model is about a specific detection. Higher scores mean greater accuracy. 
What range can I set the confidence threshold to? 
Between 25% and 90%. Detections below your threshold are flagged for manual review instead of being applied automatically. 
What does a 90% confidence score mean?
It means the AI model is 90% certain the detection is correct. There is a 10% chance the result may be a false positive. 
Can I use different thresholds for different content types? 
Yes. You can configure separate threshold settings based on content sensitivity, file type, or workflow requirements.
Does confidence scoring work across all media types? 
Yes. Scores are generated for detections in video, images, audio transcripts, and documents. 
How does model size affect confidence scores? 

Larger models produce higher-accuracy detections but require more processing time. Small models are faster with moderate accuracy. Medium balances both.

Are confidence scores logged for audit purposes? 

Yes. Every score, threshold setting, and reviewer decision is captured in audit logs for compliance and legal defensibility. 

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