PDF document parser that outputs SQLite, JSON, and CSV.
Define schemas in the visual editor, then parse PDFs into structured datasets. Use our PDF document parser to extract rows into SQLite or export JSON and CSV for pipelines.
Output formats
Built for ingestion pipelines
Typical flow
Playground
Upload a PDF, ask a question, and see the results instantly.
The playground uses our production extraction logic to generate a schema and sample values. Nothing is saved to SQLite.
Max 10MB. Each request runs OCR + schema generation.
PDF preview
Tip: Use the brain icon to enhance your question with AI.
Suggested table name
Run the playground to see a name.
Extracted values
See it in action
From visual schema design to relational data extraction—watch PdfParse transform your document workflow
Organized Tables
View and manage extracted data in clean, organized tables with powerful filtering and search
Visual Schema Builder
Create extraction tables with custom columns and relationships using our intuitive visual editor
Export & Download
Download your entire project database as SQLite or export individual tables to CSV, JSON, or XML
Why Choose PdfParse?
Design relational schemas with AI-powered field extraction. Get queryable SQLite databases, not flat JSON files.
Visual Schema Builder with AI Prompts
Create tables and define columns in our UI. Add prompts for each field: vendor_name → "The company issuing the invoice", due_date → "Payment deadline". Build relational schemas with child tables for line items, transactions, or any repeating data.
See the schema walkthroughRelational SQLite Databases
Get properly normalized databases with foreign keys and relationships. Query across tables, aggregate data, and feed precise context to your LLM agents. Export to CSV, JSON, or XML whenever you need it.
Why SQLite? Read the launch article10x More Token-Efficient
LLM agents can query SQLite directly instead of parsing nested JSON. SELECT * FROM invoices WHERE total > 1000 uses a fraction of the tokens compared to filtering megabytes of unstructured data.
Reusable Schemas at Scale
Design your schema once in the visual builder. Process 10 PDFs or 10,000 with the same template. Consistent, structured, relational data every time.
Your AI Agents Deserve Real Databases
Stop parsing unstructured JSON dumps. PdfParse lets you design relational database schemas with a visual builder—then AI extracts and populates the data automatically. Query with SQL, join tables, and build token-efficient AI workflows on top of SQLite.
Curious about the pipeline? Read the extraction walkthrough.