PDF to Text Extraction
Stop wasting time on broken libraries that mangle tables, lose formatting, and return gibberish. Our PDF to Text API preserves table structure, maintains indentation, and handles multi-column layouts.
Key Features
Multiple Extraction Modes
Extract as plain text, text blocks, individual words, or structured JSON with coordinate data. Choose the mode that fits your parsing needs.
No Word Merging
Words are properly separated with correct spacing. Unlike PyPDF2 and similar libraries that produce 'Thequickbrown', we maintain natural word boundaries automatically.
Format Preservation
Maintain indentation, bullet points, numbered lists, and document hierarchy. Multi-column layouts are extracted column-by-column correctly.
Consistent 99%+ Accuracy
Works reliably across document types. Handles UTF-8, UTF-16, and all Unicode properly. Predictable results you can build automation on.
Structured Data Output
Get JSON with coordinate data for each text element. Build regex patterns or use LLMs to extract specific fields like invoice numbers, dates, amounts.
Fast Batch Processing
Process 10-page documents in 2-5 seconds. Handle 1000 documents without infrastructure headaches. Scale from 10 to 10,000 PDFs monthly.
Use Cases
See how teams are using this API in production
Invoice & Receipt Automation
Process hundreds of incoming invoices daily from multiple vendors. Extract invoice numbers, dates, line item tables with quantities and amounts.
Mortgage & Financial Documents
Extract terms from multi-page mortgage PDFs with complex tables. Capture interest rates, payment schedules, borrower details.
Document Archives
Extract text from large document archives to make them searchable. Handles multi-column layouts and preserves document structure.
Healthcare & Administrative Documents
Digitize medical records and administrative schedules. Extract patient information from scanned and digital documents.
Contract & Agreement Review
Extract text from contracts, NDAs, and legal agreements to search for specific clauses, terms, or obligations across document sets.
Bulk Document Analysis
Process thousands of PDFs for text analysis, sentiment analysis, or data mining. Extract clean text for NLP pipelines.
Why Choose Us
Stop Debugging Libraries
No more PyPDF2, pdfminer, or pdf-parse headaches. Get clean text on the first try without regex cleanup.
Production Ready
high accuracy on digital PDFs. Consistent results across document types. Build automation you can rely on.
Works With Your Stack
REST API works with Python, Node.js, PHP, Ruby, Java, C#, Go, and any language that makes HTTP requests.
Stop Debugging. Start Building.
Test our API with your messiest PDFs. Free trial with test extractions included.