Developer Privacy API

anonym.digital vs Redact PDF AI API — Developer Comparison

Developers building privacy-first applications need flexible APIs with rich entity detection, multiple SDKs, and AI-native integrations like MCP.

Feature-by-Feature Comparison

Data verified March 2026 from Redact PDF AI public documentation.

Featureanonym.digitalRedact PDF AI
Entity Types 285+ (PII, PHI, financial, government IDs) ~8 categories (Person, Email, PhoneNumber, Address, Organization, Date, IBAN, CreditCard)
Languages 48 (dedicated NLP per language) 100+ (OCR-based, no NER per language)
Detection Engine spaCy + Stanza + XLM-RoBERTa + regex AI + OCR + regex patterns
Platforms Web, Desktop, Office, Chrome, LibreOffice, MCP, API (7) Web app, REST API (2)
Zero-Knowledge Yes (Argon2id + AES-256-GCM, server never sees data) No (server processes documents in plaintext)
Reversible Encryption Yes — decrypt with original key No — irreversible pixel burn only
Free Tier 200 tokens/month, no credit card 5-page demo (first page only)
Paid Plans Basic €3/mo, Pro €15/mo, Business €29/mo Starter $50/mo, Business $250/mo
Offline Mode Yes (Desktop App, air-gapped) No (cloud-only)
File Formats PDF, DOCX, XLSX, CSV, TXT, JSON, Images PDF, DOCX, XLSX, JPG, PNG
API Type REST API + MCP Server (7 tools) + Python SDK + Node.js SDK REST API only (async jobs)
MCP Server Yes — 7 tools for Claude, Cursor, LangChain integration No MCP support
SDKs Python SDK, Node.js SDK, REST API REST API only (curl examples)
Entity Types 285+ with custom entity creation 8 fixed categories
Real-Time Processing Yes — sub-200ms per request No — async job queue (poll for results)
Detection Engine spaCy + Stanza + XLM-RoBERTa + regex (configurable per request) AI model + OCR (black box)
LangChain Integration Native — anonymize before LLM, deanonymize after No LangChain support
Response Format JSON with entity spans, confidence scores, types Redacted PDF file only

Why Choose anonym.digital

  • MCP Server — 7 tools for AI-native integration with Claude, Cursor, Windsurf. Redact PDF AI has no MCP support
  • Real-time API — sub-200ms synchronous responses. Redact PDF AI requires async polling for job completion
  • 285+ entity types — detect government IDs, financial numbers, healthcare identifiers. API returns JSON with spans and confidence scores
  • Reversible in code — anonymize → process with LLM → deanonymize. Impossible with Redact PDF AI's permanent redaction
  • Python + Node.js SDKs — native language support, not just curl examples

Caviard.ai (Sister Product) Comparison

Redact PDF AI's parent company also operates Caviard.ai, a free Chrome extension that redacts PII in ChatGPT and DeepSeek prompts. Here's how it compares to the anonym.legal Chrome Extension.

Featureanonym.legal Chrome ExtensionCaviard.ai
AI PlatformsChatGPT, Perplexity, Claude, Gemini, DeepSeekChatGPT, DeepSeek
Entity Types285+100+ (regex-based)
Detection EngineHybrid NLP (spaCy/Stanza/XLM-R) + regexRegex patterns only
ProcessingServer-side NLP (zero-knowledge encrypted)Local browser-only
File AnonymizationYes — anonymize files before uploadNo — text prompts only
ReversibilityYes — AES-256-GCM decryptToggle only (Alt+R) — session-based, not persistent
Languages48 with NLPMultiple (regex-based, no NLP)
PricingFree tier (200 tokens/mo)Free

Pricing Comparison

Plananonym.legalRedact PDF AI
Free200 tokens/month, no credit card5-page demo (first page only)
EntryBasic: €3/month (1,000 tokens)$5 prepaid (20 pages, 30-day expiry)
MidPro: €15/month (4,000 tokens)Starter: $50/month (1,000 pages)
BusinessBusiness: €29/month (10,000 tokens)Business: $250/month (6,000 pages, 3 seats)
EnterpriseCustomCustom

Switch to anonym.digital

285+ entity types. 48 languages. 7 platforms. Zero-knowledge. Free tier included.

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Also from anonym.legal: anonymize.legal · blurgate.eu · privacyhub.legal · anonym.company · anonym.digital · anonym.management · anonym.marketing · anonym.agency

Published by George Curta, Founder of anonym.legal ·