Document to JSON

Turn any document into clean structured JSON or CSV.

✨ Premium AI engine
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Document to JSON turns any document into clean, structured data instead of a wall of text. Upload an invoice, a form, a report, or a table as an image or PDF, and the premium AI engine reads it and returns the key fields, the repeated line items, and any tables as structured JSON, or as CSV for a spreadsheet. It is the step that makes OCR useful for automation: rather than copying numbers by hand, you get machine-readable records ready to load into a database, a sheet, or another system.

It is built for developers and operations teams who need to get data out of documents at scale. Because the AI engine reads the layout rather than matching a fixed template, it handles invoices, purchase orders, application forms, statements, and tabular reports without per-document setup, and it works across 100+ recognition languages. Field labels become keys, itemized rows become an array of objects, and grids come back as tables, the same shape every time so your pipeline can rely on it.

ocr.chat shows the structured result beside the original so you can verify the values before they flow downstream, and a REST API at /api/v1/ocr/ lets you automate the whole intake. There is no signup to try, files are deleted automatically, and nothing is ever sold or shared. Structured extraction runs on the premium AI tier; paid plans from $5/mo add more pages, batch processing, and API access.

How to document to json

1
Upload your document
Drag in an image or PDF of the invoice, form, report, or table you want to turn into data.
2
Let the AI engine read it
The premium engine extracts the fields, line items, and tables, mapping labels to keys automatically.
3
Review the structured data
Check the JSON fields and rows against the original, with anything uncertain flagged for a quick edit.
4
Export JSON or CSV
Download clean JSON for your code or CSV for a spreadsheet, or pull it programmatically through the API.

Common uses

  • Developers building an automated pipeline that posts documents to the API and stores the returned JSON.
  • Operations teams turning stacks of forms or applications into rows in a database.
  • Finance teams extracting fields and line items from invoices and statements for their accounting system.
  • Analysts pulling tables out of PDF reports into CSV for analysis without retyping.
  • Procurement staff converting purchase orders into structured records to match against invoices.
  • Anyone replacing manual data entry from documents with a structured, repeatable export.

Frequently asked questions

It returns the document's key fields as a JSON object, any repeated rows as an array of line items, and any grids as tables, alongside the transcribed text, so you get structured data rather than just a text dump.

Invoices, receipts, forms, purchase orders, statements, and tabular reports all work, as images or PDFs. Because it reads the layout rather than a fixed template, it handles new formats without setup.

Yes. Download structured JSON for programmatic use, or CSV to open the line items and fields directly in Excel, Numbers, or Google Sheets.

Yes. Every result uses the same top-level shape, fields, line_items, and tables, so your code can parse it the same way each time.

Yes. POST a file to /api/v1/ocr/ with tool=extract-data, then download the result as JSON or CSV. The whole intake can run unattended.

Yes. Itemized rows, like invoice lines or order items, come back as an array of objects with consistent keys, so you can load them row by row.

Grids that are not line items are returned in a tables array as rows of cells, header row first, ready to write into a spreadsheet.

Yes. Recognition covers 100+ languages, so documents from international sources are extracted the same way as local ones. Values are kept in their original language and format.

Missing fields are simply left out rather than guessed, and anything the engine cannot read is marked so you can correct it against the original before using the data.

You can upload images and multi-page PDFs. Credits are counted per page, so longer documents and larger batches simply draw more credits from your plan.

Documents are processed only to extract the data and are deleted automatically afterward. We never sell or share your files.

You can try it with no signup, and a free account includes a monthly page bucket. Structured extraction uses the premium AI tier; paid plans from $5/mo add more pages, batch processing, and API access.

Use this via the API

Run this tool programmatically with a single POST. Authenticate with the API token from your account page.

curl -X POST https://ocr.chat/api/v1/ocr/ \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -F "file=@your-file.png" \
  -F "tool=extract-data"

Files of 5 pages or fewer return the result inline; otherwise poll the job, then download it as json:

curl -L "https://ocr.chat/api/v1/ocr/JOB_UUID/download/?format=json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" -o result.json
Read the API docs →

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