JSON.org Specification
Official JSON format specification and syntax documentation.
JSON.orgTransform Starling Bank PDFs into clean, organized JSON files in seconds. Validated against your statement balances.
Starling Bank is an award-winning digital bank offering personal and business accounts in the UK. Their statements are optimized for both digital viewing and accounting software integration, with clear transaction categorization and spending insights. The business account statements include VAT-ready transaction details.
Starling statements include 'Spaces' sub-account allocations. Business statements show receipt attachment references when available.
Understanding the specific layout and structure of Starling Bank PDF statements helps ensure accurate conversion to JSON. Here is what our parser handles for this bank:
Starling Bank statement PDFs are generated from the app or web portal — the column order is: Date | Counter Party | Reference | Type | Amount (GBP) | Balance — the "Reference" column contains the payment reference or mandate ID, distinct from the counterparty name
Transaction "Type" column uses plain-English values such as "Faster Payment", "Direct Debit", "Standing Order", "Card Payment", "Internal Transfer" — no numeric or abbreviated codes, making category mapping straightforward
Starling Spaces (savings sub-pots) appear as "Internal Transfer" entries in the main account — transfers to and from Spaces are labeled with the Space name (e.g., "Transfer to Holiday Space") and should be treated as internal movements
Business account statements from "Starling Business" include a "Payment Reference" column that captures the invoice or purchase order number entered by the payer — useful for automated invoice matching in accounting software
Joint account statement PDFs include both account holders listed in the header — both names should be extracted as account metadata, not as transaction payees
Starling CSV exports (available alongside PDF) use ISO 8601 date format (YYYY-MM-DD) and comma-delimited values — the CSV is generally preferable to the PDF for machine processing; the PDF is best used when the CSV is unavailable
Convert Starling Bank statements to JSON format with perfect formatting
Process bank statements in under 60 seconds with AI-powered extraction
256-bit encryption and automatic file deletion after processing
AI-powered extraction validated against source balances for every conversion
Simply drag and drop your PDF Starling Bank bank statement or click to browse from your computer.
Our advanced system automatically detects and extracts all transactions, dates, amounts, and descriptions with high precision.
Get your perfectly formatted JSON file ready for immediate use in Excel, QuickBooks, or your accounting software.
Join 10,000+ professionals who trust our AI-powered conversion engine. Get started for free.
Starling Bank bilingual statements may have French and English labels mixed throughout. Our converter normalizes all column headers and transaction descriptions to English, ensuring compatibility with standard JSON import tools.
JSON output provides Starling Bank transactions in a structured, machine-readable format ideal for custom integrations, APIs, or data pipelines. Each transaction includes all available metadata as nested JSON objects.
Starling Bank produces statements with unique characteristics that impact conversion accuracy to formats like JSON. Specifically, starling bank statement pdfs are generated from the app or web portal — the column order is: date | counter party | reference | type | amount (gbp) | balance — the "reference" column contains the payment reference or mandate id, distinct from the counterparty name. The JSON conversion process is optimized to handle this bank-specific format, using advanced OCR trained on thousands of Starling Bank statement samples to achieve industry-leading extraction accuracy for your JSON exports.
JSON exports preserve all critical transaction details from your Starling Bank statements while formatting them for optimal compatibility with your target software. The conversion process maintains data integrity across Starling Bank's date fields, transaction descriptions, debit/credit amounts, and running balances, ensuring nothing is lost or corrupted during the format transformation. This makes JSON a reliable choice for Starling Bank customers needing flexible data export options.
Important note for Starling Bank conversions: Starling statements include 'Spaces' sub-account allocations. Business statements show receipt attachment references when available.. Our JSON export accounts for these statement-specific details, ensuring the converted data matches your original PDF exactly. This attention to bank-specific formatting nuances is what differentiates our converter from generic OCR tools that may miss critical transaction details.
JSON is a lightweight, machine-readable structured data format that has become the standard for web APIs and modern data interchange. When you export bank statements to JSON, each transaction becomes a structured object with typed fields - dates, amounts, descriptions, and balances are all properly formatted and labeled. This format is ideal for developers building automated financial workflows, integrating bank data into custom applications, or processing transactions programmatically.
Choose JSON when building automated workflows, integrating with APIs, or processing data programmatically. JSON is the standard for modern web applications and data pipelines. This format is perfect for developers who need to parse transaction data with code, or for businesses using automation tools like Zapier or Power Automate.
JSON files can be parsed directly by any programming language. In Python use `json.load()`, in JavaScript use `JSON.parse()`. For no-code tools like Power Automate or Zapier, use the built-in JSON parser action. The structured format means no column mapping is required - each field is already named and typed.
Convert statements from any bank to JSON format. View comprehensive guides and tutorials.
Convert any bank statement to OFX format for accounting software.
Convert any bank statement to QuickBooks format for accounting software.
Export Starling Bank statements in Excel format for accounting software integration.
| Date | Description | Debit | Credit | Balance |
|---|---|---|---|---|
| 2026-03-25 | Local Restaurant | $63.70 | $2196.34 | |
| 2026-03-16 | Online Retailer | $725.01 | $1471.33 | |
| 2026-03-12 | Utility Company | $117.11 | $1354.22 |
Preview of converted output from an actual Starling Bank statement
Trusted by CPAs, bookkeepers, and accounting firms nationwide for bank statement conversion with enterprise-grade accuracy and security
Our AI-powered converter delivers high accuracy even with complex, multi-column statement layouts on Starling Bank statements by handling specific formatting challenges like transaction "type" column uses plain-english values such as "faster payment", "direct debit", "standing order", "card payment", "internal transfer" — no numeric or abbreviated codes, making category mapping straightforward. The OCR engine is also trained to recognize starling bank statement pdfs are generated from the app or web portal — the column order is: date | counter party | reference | type | amount (gbp) | balance — the "reference" column contains the payment reference or mandate id, distinct from the counterparty name, ensuring reliable JSON output for all Starling Bank statement types.
Starling Bank statements — including 2017-2024 personal, joint, and Starling Business account statements — are fully supported. Processing typically takes 25-50 seconds depending on statement length and transaction count. Our system automatically handles starling bank statement pdfs are generated from the app or web portal — the column order is: date | counter party | reference | type | amount (gbp) | balance — the "reference" column contains the payment reference or mandate id, distinct from the counterparty name and applies the appropriate parsing rules for optimal JSON conversion.
Your Starling Bank statement data is encrypted with 256-bit SSL during upload and processing. Files are stored in SOC 2 compliant data centers and automatically purged within 24 hours. We never share, sell, or retain your financial information beyond the processing window.
Absolutely. JSON from Starling Bank statements is ideal for automation workflows. In Zapier, use the "Webhooks" or "Code by Zapier" actions to parse the JSON data. In Microsoft Power Automate, use the "Parse JSON" action with the schema provided in the file. The structured format makes it easy to extract specific fields, filter transactions, and trigger automated actions based on transaction amounts or descriptions.
The Starling Bank statement exported to JSON uses a standard structure with typed fields for dates, amounts, and descriptions. In Python, use `json.load(file)` to read the file and access transactions as a list of dictionaries. In JavaScript/Node.js, use `JSON.parse(fileContent)` to convert the JSON string to an object. Each transaction is already structured with named fields, eliminating the need for column parsing or delimiter handling.
Yes, you can batch convert multiple Starling Bank statements by uploading them sequentially. Each statement will be processed into its own JSON file with the original statement period clearly labeled. This is particularly useful for catching up on historical data entry or reconciling multiple months of transactions. The converted files can then be imported into your accounting software in chronological order.
Explore all banks that support JSON export → Bank Statement to JSON
Convert statements from any bank to JSON format. View comprehensive guides and tutorials.
Convert any bank statement to OFX format for accounting software.
Convert any bank statement to QuickBooks format for accounting software.
Export Starling Bank statements in Excel format for accounting software integration.
Specialized Starling Bank to JSON conversion optimized for tax applications.
Specialized Starling Bank to JSON conversion optimized for mortgage applications.
Bank Of America statement conversion to JSON format with high accuracy.
Wells Fargo statement conversion to JSON format with high accuracy.