Documents · CORIN TOOLS

PDF to JSON

Organize document text, fields and tables into records for your application.

Input: PDFOutput: JSON

EXAMPLE OUTPUT

See the result you’re working toward

Explore a sample result below. File upload and conversion are not enabled on this page yet.

Sample result

{
  "document": "Sample document",
  "records": [
    {
      "item": "Notebook",
      "quantity": 3,
      "unit_price": 8.5
    }
  ]
}

Sample content only. This is not a conversion of your document.

How PDF to JSON fits into your work

1. Prepare the source

Use PDF input. Remove passwords where appropriate and choose clear, complete source material.

2. Inspect the structure

Check how the content should map into JSON. Start with the example output while file processing is being connected.

3. Review before using

Compare important details with the source. Choose a schema first, then check required keys, missing values and numeric types.

Where this is useful

Form records

Organize document text, fields and tables into records for your application. Use the result as a starting point for editing and review.

Document ingestion

Organize document text, fields and tables into records for your application. Keep the source available so another person can check the details.

Application imports

Organize document text, fields and tables into records for your application. Bring reviewed information into the next step of your process.

Understand the output

JSON represents objects, arrays and typed values. Agree on field names and missing-value handling before connecting the result to an application.

Choose a schema first, then check required keys, missing values and numeric types.

Frequently asked questions

Can I use this tool now?

You can explore, copy and download sample output. Conversion of your own files is not enabled yet. Contact Corin if you want to discuss this capability for your workflow.

What input and output should I expect?

This page covers PDF input and JSON output. JSON represents objects, arrays and typed values. Agree on field names and missing-value handling before connecting the result to an application.

What should I check before using the result?

Choose a schema first, then check required keys, missing values and numeric types.

What about scans, photos and difficult layouts?

Scans and photos require text recognition before conversion. Blur, rotation, handwriting, merged cells and multi-column layouts can introduce errors. Use the clearest source available and review the extracted information.

Are my documents uploaded or stored?

There is no upload control on this page, so it does not receive your source documents. The sample is built into the page. Processing limits, retention and deployment options must be confirmed before a live service is enabled.

Can I automate this as part of a larger process?

Talk to Corin about the tools, connectors, permissions and review steps your process requires. A standalone example does not establish a live API or guarantee compatibility with a particular system.

Related tools

Connect the next step.Bring reviewed information into a coordinated workflow with Corin.

Discuss your workflow ↗