# OCR PDF to Structured JSON Bridge

Extract the PDF text layer with geometry (lines by y-position, tables by column gaps, headings by font size, colon key-value pairs), then fill a user-supplied JSON Schema field by field — labels matched by normalized keys, values coerced to declared types and validated with ajv.

> Canonical page: https://elysiatools.com/en/tools/ocr-pdf-to-structured-json-bridge

- **Category:** Document Tools

- **Keywords:** pdf to json, json schema, structured extraction, invoice extraction, table extraction

## Overview

Extract text, key-value pairs, and table data from text-based PDF documents and map them directly into a target JSON Schema. The bridge analyzes layout geometry, font sizes, and delimiter patterns, coerces extracted strings into declared schema types, and validates the resulting JSON payload with Ajv.

## Inputs

- **PDF file (text-based)** (file): Invoice / form / statement PDF with a text layer
- **Target JSON Schema** (textarea): { "type": "object", "properties": { "invoice_number": { "type": "string" }, "total": { "type": "number" } }, "required": \["invoice_number"\] }
- **Number coercion style** (select)

## When to use

- When you need to extract structured data from PDF invoices, receipts, or purchase orders into a strict JSON Schema.
- When converting semi-structured PDF reports containing tables and key-value pairs into schema-validated JSON for API ingestion.
- When automating data entry from standard PDF forms into downstream databases while enforcing type coercion and schema rules.

## How it works

- Upload a text-based PDF document and provide your target JSON Schema definition.
- Select the number coercion style (auto, dot decimal, or comma decimal) to ensure currency and numerical amounts parse accurately.
- The tool parses PDF layout geometry—detecting lines, headings, colon key-value pairs, and column-separated tables—and matches them to schema keys.
- Extracted values are coerced to declared schema types and validated with Ajv, returning an extraction mapping table and validated JSON output.

## Use cases

- Extracting invoice numbers, issue dates, and line items from vendor PDF invoices into ERP-ready JSON.
- Transforming monthly financial statement PDFs into standardized JSON objects for automated ledger updates.
- Parsing structured utility bills and service order PDFs into strictly typed records for backend database ingestion.

## Frequently asked questions

### Does this tool work on scanned image-only PDFs?

No, the PDF must contain a selectable text layer for layout geometry extraction.

### How does the tool match PDF fields to schema properties?

It matches key-value labels and table headers against normalized property names defined in your JSON Schema.

### What number formatting options are supported?

You can choose Auto, Dot decimal (e.g., 1,234.50), or Comma decimal (e.g., 1.234,50) for number coercion.

### What happens if an extracted value violates schema rules?

Ajv flags the validation error at the exact JSON path while still displaying the raw extracted mapping and generated JSON.

### What schema types and formats can be coerced?

It coerces string values to numbers, integers, booleans, and ISO date strings matching declared schema types and formats.

## Related tools

- [Chat Transcript to PDF](https://elysiatools.com/en/tools/chat-transcript-to-pdf): Lay out multi-role chat transcripts into a PDF conversation
- [Fitness Workout PDF Generator](https://elysiatools.com/en/tools/fitness-workout-pdf-generator): Generate a printable workout-plan PDF from JSON or CSV data with exercise tables, progress boxes, and optional QR video links
- [Rich Text JSON to PDF](https://elysiatools.com/en/tools/richtext-json-to-pdf): Convert TipTap, Quill, or Slate JSON exports into a styled PDF document
- [PDF to JSON Structure Explorer](https://elysiatools.com/en/tools/pdf-to-json-structure-explorer): Extract structured OpenDataLoader JSON from a PDF and browse headings, paragraphs, tables, lists, pages, and bounding boxes in an explorer view
- [Data URI Generator](https://elysiatools.com/en/tools/data-uri-generator): Convert files into Data URIs (Base64 or percent-encoded) for inlining images, fonts, and assets directly into HTML, CSS, or Markdown
- [Encrypted PDF Converter](https://elysiatools.com/en/tools/encrypted-pdf-converter): Open password-protected PDFs with OpenDataLoader and export them as Markdown, JSON, or text once the correct password is provided
- [PDF AcroForm Filler](https://elysiatools.com/en/tools/pdf-acroform-filler): Fill standard PDF forms programmatically (text, checkbox, radio, dropdown/list) using JSON data injection
- [PDF Annotation Export](https://elysiatools.com/en/tools/pdf-annotation-export): Extract existing annotations (highlights, comments, stamps, links, markup) from a PDF into JSON

## Samples

- [PDF Samples](https://elysiatools.com/en/samples/pdf-samples): Generated PDF samples from tools dated 2026-02-01 to 2026-02-10
- [Chat Transcript JSON Samples](https://elysiatools.com/en/samples/chat-transcript-json): JSON examples for multi-role chat transcripts
- [Rich Media JSON Samples](https://elysiatools.com/en/samples/rich-media-json): JSON examples for popular rich text editors (TipTap, Quill, Slate)
- [Terraform Plan JSON Samples](https://elysiatools.com/en/samples/terraform-plan-json-samples): Sample Terraform plan JSON files exported from terraform show -json style payloads for dependency visualization and change review