Extract PDF Data as Structured JSON
Turn any PDF into typed, structured JSON. Define your schema with field types, nested objects, and arrays. Get consistent output every time via API.
The Problem
PDFs Are Developer-Hostile
The PDF format is designed for printing, not data extraction. Getting structured data out of PDFs requires specialized tooling.
Untyped Raw Text
Basic extraction gives you raw strings. You need typed data — numbers as numbers, dates as dates, arrays as arrays.
Inconsistent Structure
Different PDFs produce different structures. Your application needs a consistent JSON schema to work with.
How Parsli Solves This
Parsli's AI handles the heavy lifting so you can focus on what matters.
Typed JSON Output
Fields are typed (text, number, decimal, date, boolean). The AI returns properly typed JSON, not just strings. Learn more about [PDF to JSON extraction](/guides/pdf-to-json-extraction).
Nested Objects & Arrays
Support for nested object fields, arrays, and table types. Complex document structures map to clean JSON. See also [extracting data from Excel to JSON](/guides/extract-data-from-excel-to-json).
REST API
Send PDFs to the API and receive JSON responses. Bearer token auth, standard REST conventions.
Schema Validation
Define required fields, types, and constraints. The AI follows your schema specification consistently.
Frequently Asked Questions
What does the JSON output look like?
The JSON matches your schema exactly. Each field you define becomes a key in the JSON object with the correct type. Tables become arrays of objects.
Can I use this in my application?
Yes. The REST API lets you send PDFs and receive structured JSON. Use it in any programming language that can make HTTP requests.
Is the JSON schema consistent across documents?
Yes. Your schema defines the output structure. Every document processed by the same parser produces JSON with the same keys and types.
Related Resources
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