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@aismarttalk/anondocs-sdk

TypeScript SDK for AnonDocs API - Privacy-first text and document anonymization

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AnonDocs SDK

TypeScript/JavaScript SDK for AnonDocs - Privacy-first text and document anonymization powered by LLMs.

Made with ❤️ by AI SmartTalk

Installation

npm install @aismarttalk/anondocs-sdk

Quick Start

import { AnonDocsClient } from '@aismarttalk/anondocs-sdk';

const client = new AnonDocsClient({
  baseUrl: 'http://localhost:3000',
  defaultProvider: 'ollama'
});

// Anonymize text
const result = await client.anonymizeText('My name is John Smith and my email is john@example.com');

console.log(result.anonymizedText);
// Output: "My name is [NAME] and my email is [EMAIL]"

console.log(result.piiDetected);
// Output: { names: ['John Smith'], emails: ['john@example.com'], ... }

console.log(result.replacements);
// Output: [
//   { original: 'John Smith', anonymized: '[NAME]' },
//   { original: 'john@example.com', anonymized: '[EMAIL]' }
// ]

Features

  • 🔒 Privacy-first anonymization using local or cloud LLMs
  • 📄 Document support (PDF, DOCX, TXT)
  • DOCX formatting preserved - Bold, italic, colors, and more!
  • 🎯 Precision mapping - Track every replacement with replacements array
  • 🌊 Streaming with real-time progress updates
  • 💾 Full TypeScript support with strict types
  • 🚀 Works in Node.js and Browser
  • Multiple LLM providers (OpenAI, Anthropic, Ollama)
  • 🆓 Zero runtime dependencies

API Reference

Initialize Client

const client = new AnonDocsClient({
  baseUrl: 'http://localhost:3000',  // Optional, defaults to localhost
  defaultProvider: 'ollama',          // Optional: 'openai' | 'anthropic' | 'ollama'
  timeout: 30000                      // Optional, defaults to 30s
});

Check Health

const health = await client.health();
// Returns: { status: 'ok', timestamp: '2025-11-04T...' }

Anonymize Text

const result = await client.anonymizeText(
  'John Smith lives at 123 Main St and his email is john@example.com',
  { provider: 'ollama' }  // Optional, uses defaultProvider if not specified
);

console.log(result.anonymizedText);
console.log(result.piiDetected);
console.log(result.processingTimeMs);
console.log(result.wordsPerMinute);
console.log(result.chunksProcessed);

Anonymize Document

Node.js:

import { readFileSync } from 'fs';

const fileBuffer = readFileSync('./document.pdf');
const result = await client.anonymizeDocument(fileBuffer, {
  provider: 'ollama'
});

// For DOCX files: formatting is preserved!
if (result.downloadUrl) {
  console.log('Download anonymized DOCX:', result.downloadUrl);
  console.log('Original filename:', result.originalFilename);
}

// Access replacement mappings
result.replacements.forEach(r => {
  console.log(`"${r.original}" → "${r.anonymized}"`);
});

Browser:

const fileInput = document.querySelector('input[type="file"]');
const file = fileInput.files[0];

const result = await client.anonymizeDocument(file, {
  provider: 'openai'
});

// Download DOCX with preserved formatting
if (result.downloadUrl) {
  window.open(result.downloadUrl, '_blank');
}

Streaming Anonymization

Get real-time progress updates for long texts or documents:

await client.streamAnonymizeText(longText, {
  provider: 'ollama',
  onProgress: (event) => {
    console.log(`${event.progress}% - ${event.message}`);
    // Progress: 0-100
    // Types: 'started', 'chunk_processing', 'chunk_completed', 'completed', 'error'
  },
  onComplete: (result) => {
    console.log('Done!', result.anonymizedText);
  },
  onError: (error) => {
    console.error('Error:', error.message);
  }
});

Streaming Document Anonymization

await client.streamAnonymizeDocument(file, {
  provider: 'ollama',
  onProgress: (event) => {
    updateProgressBar(event.progress);
  },
  onComplete: (result) => {
    displayResults(result);
  },
  onError: (error) => {
    showError(error);
  }
});

Response Types

AnonymizationResult

interface AnonymizationResult {
  anonymizedText: string;
  piiDetected: {
    names: string[];
    addresses: string[];
    emails: string[];
    phoneNumbers: string[];
    dates: string[];
    organizations: string[];
    other: string[];
  };
  replacements: Array<{
    original: string;      // Exact original PII text
    anonymized: string;    // What it was replaced with (e.g., "[NAME]")
  }>;
  chunksProcessed: number;
  wordsPerMinute: number;
  processingTimeMs: number;
  // DOCX only: present when document is DOCX with preserved formatting
  downloadUrl?: string;
  filename?: string;
  originalFilename?: string;
}

What's New:

  • replacements - Precision mapping of original → anonymized text
  • downloadUrl - Download link for DOCX files with preserved formatting
  • filename - Generated filename for the anonymized document
  • originalFilename - Original document filename

ProgressEvent

interface ProgressEvent {
  type: 'started' | 'chunk_processing' | 'chunk_completed' | 'completed' | 'error';
  progress: number;        // 0-100
  message: string;
  currentChunk?: number;   // 1-indexed
  totalChunks?: number;
  data?: AnonymizationResult;  // Only on 'completed'
}

Error Handling

The SDK provides typed error classes:

import { 
  AnonDocsError,
  AnonDocsApiError,
  AnonDocsNetworkError,
  AnonDocsValidationError,
  AnonDocsStreamError
} from '@aismarttalk/anondocs-sdk';

try {
  await client.anonymizeText('');
} catch (error) {
  if (error instanceof AnonDocsValidationError) {
    console.error('Validation error:', error.message);
  } else if (error instanceof AnonDocsApiError) {
    console.error('API error:', error.statusCode, error.message);
  } else if (error instanceof AnonDocsNetworkError) {
    console.error('Network error:', error.message);
  }
}

Supported File Types

  • DOCX: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    • Formatting preserved (bold, italic, colors, alignment, etc.)
    • Download link provided via downloadUrl
    • Best anonymization experience
  • PDF: application/pdf
    • ⚠️ Text extraction only (no formatting preserved)
    • Returns anonymized text in response
  • TXT: text/plain
    • Plain text anonymization
    • Returns anonymized text in response

Max file size: 10MB

LLM Providers

  • OpenAI - Cloud-based, requires API key
  • Anthropic - Cloud-based, requires API key
  • Ollama - Local/self-hosted, privacy-first

Examples

See the examples/ directory for complete usage examples:

TypeScript Support

The SDK is written in TypeScript and includes full type definitions. All types are exported:

import type {
  LLMProvider,
  PIIDetected,
  PIIReplacement,
  AnonymizationResult,
  ProgressEvent,
  ClientConfig
} from '@aismarttalk/anondocs-sdk';

Requirements

  • Node.js: >= 18.0.0 (uses native fetch, FormData, Blob)
  • Browser: Modern browsers with fetch and ReadableStream support
  • Zero runtime dependencies - works everywhere!

License

MIT

Made with ❤️ by AI SmartTalk

Keywords

anondocs

FAQs

Package last updated on 05 Nov 2025

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