PDFs to clean JSON — define your schema, get structured output.
Define the data fields you need — dates, amounts, names, line items — and PaperAI extracts them from any PDF into typed JSON. The output is clean, validated, and ready for your API, database, or downstream application.
- Define extraction fields with types: text, number, date, currency, boolean, array
- Output is clean JSON with your field names — ready for API consumption
- Batch process thousands of PDFs with identical extraction rules via Smart Flows
Why teams convert here
- Get clean, typed JSON output — no regex parsing or manual data mapping needed
- Define your schema once and process thousands of PDFs consistently
- Output integrates directly into your API, database, or data pipeline
“Tax season used to mean hiring three temps for data entry. Last year we processed everything with PaperAI.”
Developers and data engineers need structured JSON, not text files. When building document processing pipelines, the output must be machine-readable with consistent field names and data types. Copy-pasting from a PDF viewer and parsing with regex is fragile and unmaintainable.
PaperAI's extraction fields support typed output: strings, numbers, dates, currency values, booleans, and arrays for repeating elements like line items. The JSON output uses your field names and validates data types, so your downstream code does not need to handle formatting inconsistencies.
PaperAI supports 6 field types (text, number, date, currency, boolean, and array) and produces 100% structured JSON output from any PDF. Each document is processed in under 30 seconds with zero regex required — you define your extraction schema, and PaperAI delivers validated, typed data ready for consumption.
Upload PDFs
Upload native or scanned PDFs — invoices, contracts, reports, forms, or any document type. PaperAI handles both digital-native and image-based PDFs.
Define extraction fields
Specify the fields you need with names and types: text, number, date, currency, boolean, or array. Smart Flows save your schema for reuse across thousands of documents.
AI extracts structured JSON
Vision AI reads each PDF and populates your defined fields with typed, validated data. The output uses your field names and enforces the data types you specified.
Consume in your pipeline
Download clean JSON ready for your API, database, webhook, or application. Each document produces a JSON object with your exact field names and validated types.
PaperAI automatically pulls out these fields, organized and ready for your systems:
| Field | Type | Example |
|---|---|---|
| document_type | text | invoice |
| vendor_name | text | Apex Office Supplies Ltd. |
| invoice_date | date | 2026-03-15 |
| total_amount | currency | $1,134.00 |
| is_paid | text | false |
| line_items | array | [A4 Paper: $450, Ink XL: $600] |
6
Field types supported
100%
Structured output guaranteed
<30s
Processing time per document
0
Regex expressions needed
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Common questions
Answers focused on conversion quality, team workflows, and roadmap clarity.