Converter

Bank Statement PDF to JSON Converter

JSON is the format software speaks: nested, typed, and directly consumable by any modern language or API. Converting a PDF to JSON turns a document into a machine-readable object your code can validate, transform, and store without any parsing gymnastics.

Every extraction here is JSON-native — the CSV and Excel downloads are derived from it. Upload in the browser and copy the JSON, or skip the browser entirely and call the REST API from your own pipeline: same schema, same field names, every time.

Bank statement conversions output every transaction as its own row — date, description, amount, and balance — the exact shape needed for cash-flow analysis, underwriting spreadsheets, and accounting import.

How it works

1. 1

   Upload the bank statement

   PDF (including scanned), PNG, JPG, or WEBP — from any source, with no template setup.

2. 2

   AI extracts the fields

   Account holder & bank name, Statement period, Opening & closing balance, Every transaction (date, description, amount), and more — each with a confidence score so you know what to double-check.

3. 3

   Download the JSON output

   A structured JSON object with stable, snake_case field names, nested arrays for repeating rows, and a per-field confidence score — identical whether you download it from the browser or receive it from the API.

What lands in your JSON output

• ✓Account holder & bank name
• ✓Statement period
• ✓Opening & closing balance
• ✓Every transaction (date, description, amount)
• ✓Total deposits & withdrawals

Example column layout

A converted bank statement produces consistent, labeled columns:

date,description,amount,type,balance…,…,…,…,…

When to use JSON

• →Building document upload into your own product via the REST API
• →Feeding automation pipelines, webhooks, and workflow tools
• →Storing structured document records in a database
• →Validating extracted values in code before they enter your system

FAQ