About

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│         PDF → Structured Data → SQLite         │
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What is PdfParse?

PdfParse is a novel platform that transforms unstructured PDF documents into robust, queryable SQLite databases. Unlike traditional OCR tools that output raw text or basic JSON, PdfParse leverages AI-powered extraction with automatic data normalization to create structured, production-ready databases from your documents.

Whether you’re processing invoices, receipts, contracts, or custom forms, PdfParse handles the complexity of nested data relationships, table extraction, and schema validation - delivering SQLite databases you can download and integrate immediately.

How It Works

┌──────────────┐
│  Upload PDF  │
└──────┬───────┘
       │
       ▼
┌────────────────────┐
│ Define Your Schema │  ← Create custom tables
└──────┬─────────────┘    and field definitions
       │
       ▼
┌───────────────────┐
│  AI Extraction    │  ← Parse documents and
└──────┬────────────┘    extract structured data
       │
       ▼
┌───────────────────┐
│ Data Validation   │  ← Normalize and validate
└──────┬────────────┘    against your schema
       │
       ▼
┌───────────────────┐
│  SQLite Database  │  ← Download complete
└───────────────────┘    relational database

Key Features

User-Generated Schemas

Define custom structured schemas tailored to your document types. Create tables with typed fields, set validation rules, and build reusable templates for invoices, receipts, contracts, or any custom form.

Nested Table Relationships

Extract complex hierarchical data with parent-child relationships. PdfParse automatically handles foreign keys and maintains referential integrity across related tables.

SQLite as Single Source of Truth

Get robust, portable, ACID-compliant databases in a single file. SQLite is the backbone of most LLM agents and modern data pipelines - fast, reliable, and universally supported.

Human-Readable Errors

When extraction encounters issues, PdfParse provides clear, actionable error messages with a built-in review interface. Review errors in context, trigger retries, and track resolution progress.

SQL-Based Navigation

Browse extracted data with a spreadsheet-like interface. Search, filter, execute custom queries, and export tables as CSV, JSON, or SQLite files.

Use Cases

• Invoice Processing: Extract line items, customer data, and totals into structured tables
• Receipt Management: Parse merchant info, transaction details, and itemized purchases
• Contract Analysis: Extract parties, terms, dates, and clauses for legal review
• Form Digitization: Convert paper forms into queryable databases
• Document Archival: Build searchable databases from historical documents

Pricing

PdfParse offers transparent, token-based pricing that scales with your needs:

• Free: 20 pages/month - Perfect for evaluation
• Basic: 800 pages/month at $29.99
• Pro: 3,000 pages/month at $79.99
• Enterprise: 10,000 pages/month at $129.99

You only pay for successfully processed pages. Failed extractions don’t consume tokens.

Getting Started

Ready to transform your documents into structured data?

1. Sign up at pdfparse.net
2. Create a schema for your document type
3. Upload PDFs and click “Process Files”
4. Download your SQLite database

Documentation & Support

• Browse our blog for tutorials and best practices
• Read the full documentation (coming soon)
• Contact us at support@pdfparse.net

Built with focus on robustness, affordability, and developer experience.