Comparison
OmniShield vs Heedful, Secret Sanitizer, and PasteSecure
A candid comparison of four local-first tools for keeping API keys, credentials, and PII out of AI chats.
There is no single “best” AI privacy extension. Heedful is strong on broad regional and compliance-oriented detection. Secret Sanitizer is open source and has a thoughtful encrypted-vault restore workflow. PasteSecure offers granular controls and exportable activity reports. OmniShield focuses on automatic send-time masking, readable replacements, and optional OCR.
Quick comparison
| Product | Primary workflow | Notable strength | Best fit |
|---|---|---|---|
| OmniShield | Automatic masking at send time | Context-aware replacements and optional image OCR | Developers who type or paste into supported AI chats |
| Heedful | Warn before sensitive text or files reach AI chats | Regional PII, semantic signals, compliance presets | Users with international or policy-specific detection needs |
| Secret Sanitizer | Mask on paste and restore placeholders on copy | Open source, encrypted local vault, zero network requests | Developers who want auditable, offline paste protection |
| PasteSecure | Detect and redact on paste with configurable policies | Broad categories, allowlists, activity logs, CSV reports | Power users who want granular local controls |
“Local” refers to the products' published detection claims. License checks, updates, payment flows, and optional services may still use network requests. Read the current permissions and privacy disclosures before installing any extension.
OmniShield: send-time masking without a separate paste step
OmniShield's consumer extension is designed around the moment a message is submitted. Matching API keys, credentials, and PII are replaced locally before the supported request is sent. That distinction matters for users who sometimes type secrets manually or compose a message from several sources rather than pasting one clean block.
Free covers core local pattern detection and masking. Pro adds context-aware replacements intended to keep the prompt useful, image OCR, healthcare-aware patterns, custom local rules, and stricter block behavior. Pro uses a license service to confirm entitlement; prompt contents are not required for that check.
The trade-off is scope. Automatic protection depends on integrations with supported AI sites and their changing submission flows. If a site changes its composer or request format, the extension may need an update. Users should test important workflows with synthetic values, including the Network tab test.
Heedful: wider policy and regional context
Heedful's current listing emphasizes on-device DLP across twelve AI chats, PII formats across sixteen countries, optional semantic detection using Chrome's on-device AI support, and presets for frameworks such as HIPAA, PCI DSS, and GDPR. It also advertises local audit counts and Pro file scanning for text files, PDFs, and Word documents.
That makes Heedful interesting if your central problem is not only API keys but varied national identifiers, internal project names, or compliance-oriented detector selection. Its warning-first model also appeals to people who prefer deciding whether a message proceeds rather than having text silently transformed.
The trade-off is user involvement: warning and review flows can add friction, especially for frequent prompts. That may be exactly what a strict environment wants, but an individual developer may prefer automatic masking.
Secret Sanitizer: open-source paste protection and smart restore
Secret Sanitizer makes a strong trust argument. Its listing describes an MIT-licensed extension with no network requests, local AES-GCM storage for original values, more than seventy secret patterns, and controls for extending protection to custom sites.
Its distinctive feature is the restore loop. Secrets are replaced with labeled placeholders when pasted. If an AI response contains those placeholders, copying the response restores the original values in the clipboard. For debugging a connection string or configuration file, that can be more useful than receiving a response full of permanent redactions.
The primary workflow is paste-oriented. If you mostly paste complete logs or configs and value open-source inspection, that is a sensible design. If you frequently type, edit, or combine sensitive values inside the AI composer, test whether every path you rely on is covered.
PasteSecure: granular categories, policies, and reports
PasteSecure's listing advertises a broad detector set spanning PII, API keys, financial data, crypto assets, medical information, network data, and system identifiers. It also describes site-specific policies, category toggles, a global allowlist, temporary mute controls, an activity log, CSV export, and an undo workflow.
That control surface is attractive to power users who know exactly what should be redacted on one domain but allowed on another. Exportable reports are also useful when local evidence matters.
More controls create more configuration decisions. For someone who wants “install it and protect my AI chats,” the additional policy surface may feel heavy. For someone with exceptions and specialized identifiers, it can be the reason to choose the product.
Which one should you install?
- Choose OmniShield if your priority is automatic send-time masking, readable replacements, and optional screenshot OCR.
- Choose Heedful if regional PII, semantic signals, and compliance presets are most important.
- Choose Secret Sanitizer if open-source, zero-network paste protection and clipboard restore are your deciding factors.
- Choose PasteSecure if you want detailed category, domain, allowlist, history, and export controls.
The honest recommendation is to test two finalists with fake data. Try one API key pattern, one email, one false-positive sentence, one typed message, and one pasted message. Then inspect the outgoing request or follow the product's documented verification method.
Questions to ask of every AI privacy extension
- Does it protect typing, paste, files, or only one of those?
- Does it warn, block, or automatically modify the message?
- Where are original values stored, and for how long?
- Does the extension make network requests of its own?
- Can I verify the result in DevTools with a fake value?
- What happens when ChatGPT or another supported site changes?
- Can I disable a noisy detector or define an allowlist?
A polished privacy claim is not evidence. Pick the workflow that matches how you actually use AI, review the permissions, and verify the behavior before trusting it with real work. If you prefer to start without an extension, our free browser sanitizer gives you a manual local workflow first.