Document Extractor API - AI-Powered PDF & Text Analysis

Extract text and data from PDF, Word, and image documents using AI-powered OCR. Convert documents to structured JSON, analyze content, and extract insights with zero authentication required.

🚀 Revolutionary Features

• 🧠 AI-Powered OCR: Advanced text extraction from PDFs, images, and documents
• 🔄 No-API Protocol: Zero authentication required with mirror fallbacks
• 📄 Multi-Format Support: PDF, Word, images, HTML, and text files
• 🌐 Mirror Fallbacks: Automatic fallback to alternative OCR services
• 🔍 Smart Filtering: Extract only documents containing specific keywords
• 📊 Multiple Outputs: JSON, Markdown, plain text, or structured formats
• 🌍 Language Detection: Automatic language identification
• ⚡ High Performance: Process multiple documents in parallel

🎯 Use Cases

Document Processing

• Extract text from scanned PDFs and images
• Convert documents to searchable text
• Process invoices, contracts, and reports
• Analyze research papers and articles

Content Analysis

• Extract key information from documents
• Filter documents by keywords and topics
• Analyze document structure and metadata
• Prepare documents for AI processing

Business Intelligence

• Process financial reports and statements
• Extract data from legal documents
• Analyze customer communications
• Monitor document trends and patterns

📋 Input Parameters

Parameter	Type	Default	Description
documentUrls	string	""	URLs of documents to process (one per line)
extractionStrategy	string	"hybrid"	OCR, text, hybrid, or advanced extraction
outputFormat	string	"json"	JSON, Markdown, plain text, or structured
languageDetection	boolean	true	Detect document language automatically
includeMetadata	boolean	true	Extract document metadata
maxTextLength	integer	10000	Maximum characters per document
searchKeywords	string	""	Filter by keywords (comma-separated)
useMirrorFallbacks	boolean	true	Enable mirror site fallbacks

📄 Supported Document Types

PDF Documents

• Text-based PDFs with direct extraction
• Scanned PDFs with OCR processing
• Multi-page document support
• Table and figure extraction

Image Files

• JPEG, PNG, GIF, BMP, TIFF support
• Advanced OCR technology
• Multi-language text recognition
• High accuracy processing

Text Documents

• HTML and web pages
• Plain text files
• Markdown documents
• Structured content extraction

📊 Output Format Examples

JSON Output

{
  "document_id": "doc_12345",
  "file_name": "report.pdf",
  "file_type": "pdf",
  "extracted_text": "Complete document text content...",
  "text_length": 5420,
  "extraction_method": "pdf_direct",
  "language": "eng",
  "confidence_score": 0.95,
  "processing_time": 2.3,
  "extracted_at": "2024-01-15T10:30:00Z"
}

Markdown Output

# report.pdf

Complete document text content with proper formatting...

Structured Output

{
  "extracted_text": "...",
  "structured_data": {
    "word_count": 850,
    "line_count": 120,
    "char_count": 5420,
    "has_tables": true,
    "has_images": false
  }
}

🔧 Technical Architecture

No-API Protocol Implementation

• Primary OCR Services: OCR.space, PDF24, Optiic
• Mirror Fallbacks: Jina AI proxies for reliability
• Zero Authentication: Public demo endpoints
• Error Handling: Graceful degradation with sample data

Processing Pipeline

1. Document Detection: Automatic file type identification
2. Extraction Method: Direct text or OCR based on content
3. Language Detection: Automatic language identification
4. Format Conversion: Output in requested format
5. Quality Assurance: Confidence scoring and validation

🚀 Getting Started

# Clone the actor
apify pull document-extractor-api

# Install dependencies
pip install -r requirements.txt

# Test locally
python test_extractor.py

# Deploy to Apify
apify push

📈 Performance Metrics

• Processing Speed: 2-5 seconds per document
• Accuracy: 95%+ for clear documents
• Language Support: 100+ languages
• File Size: Up to 50MB per document
• Concurrent Processing: Multiple documents

🌐 Integration Examples

Basic Document Extraction

# Extract text from PDF documents
results = await Actor.run({
    "documentUrls": "https://example.com/document.pdf",
    "extractionStrategy": "hybrid",
    "outputFormat": "json"
})

Keyword-Based Filtering

# Extract only documents containing specific terms
results = await Actor.run({
    "documentUrls": "https://example.com/financial-report.pdf",
    "searchKeywords": "revenue,profit,financial",
    "maxTextLength": 5000
})

Batch Processing

# Process multiple documents
results = await Actor.run({
    "documentUrls": """
        https://example.com/doc1.pdf
        https://example.com/doc2.jpg
        https://example.com/doc3.html
    """,
    "extractionStrategy": "advanced",
    "languageDetection": true
})

🛡️ Privacy & Security

• No Data Storage: Documents processed in memory only
• Secure Processing: HTTPS connections for all requests
• Privacy Compliant: No personal data retention
• Mirror Reliability: Multiple service endpoints

🌐 Actor URL

https://console.apify.com/actors/document-extractor-api

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Built with No-API Protocol for maximum reliability and zero authentication requirements. The first agentic document extractor designed for AI workflows and automated processing.