How to Convert Bank Statements to JSON Automatically (Bulk PDF to JSON Tutorial)
Still manually typing data from bank statements? 😩 There’s a faster, smarter way! and it takes just minutes to set up. 👉 Sign up free & get €25 in DocHorizon credits to follow along:
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🔍 How to Convert Bank Statements to JSON Automatically (No Code)
In this tutorial, you’ll learn how to extract structured financial data from PDF or scanned bank statements and convert them into clean, readable JSON files, perfect for integration into ERPs, accounting tools, or APIs. No coding required.
We’ll use Klippa DocHorizon, an AI-powered platform built for document automation at scale.
If you have large volumes of documents and prefer to get help, the Klippa team can also do all the work for you ➡️ https://www.klippa.com/en/demo/?utm_s...
✅ This is how you can convert Bank Statements to JSON with Klippa DocHorizon:
1. Choose the Source of Your Bank Statements
Import statements from your email, Google Drive, ERP system, accounting software, or any other source.
2. Convert Your PDF or Image Bank Statements
Using advanced OCR and AI technology, Klippa extracts data from your files and transforms them into structured, machine-readable JSON.
3. Export in JSON Format
Save your data as JSON for use in APIs, ERPs, databases, or accounting systems ready for automation.
✅ What You’ll Learn in This Video:
How to extract data from scanned or PDF bank statements
How to convert documents to JSON using AI OCR
How to set up a no-code automation workflow in minutes
How to export structured data for use in software systems (APIs, ERP, accounting, etc.)
🧠 Skip the manual work and get accurate JSON output in seconds.
Manual Data Entry and JSON Creation:
Extract Data: Manually review your bank statement and identify the key data points you want to include in your JSON.
Construct JSON: Create a JSON file and manually input the extracted data, organizing it into a structured format with key-value pairs and arrays as needed.
Programmatic Conversion (for Developers):
PDF Parsing Libraries: If your bank statements are in PDF format, you can use programming libraries like PyPDF2, PDFMiner, or pdftotext (in Python) to extract text from the PDF.
Data Extraction and Structuring: Once the text is extracted, you can use string manipulation, regular expressions, or more advanced parsing techniques to identify and extract the specific data points (e.g., transaction lines, dates, amounts).
JSON Serialization: Use your programming language's built-in JSON libraries (e.g., json in Python, JSON.stringify() in JavaScript) to serialize the extracted data into a JSON string or file.
Example (Python with Pandas): If your bank statement data is already in a structured format like CSV, you can use libraries like Pandas to easily convert it to JSON.
Choosing the right method depends on your needs:
Ease of Use & Quick Conversion:
Online tools and AI platforms are suitable for non-developers or for quick, one-time conversions.
Control & Automation:
Programmatic methods offer greater control and are ideal for developers or for automating the conversion of large volumes of statements.
Accuracy & Volume:
Hybrid/AI platforms combining AI extraction with API integration can provide a balance of accuracy, speed, and automation for high-volume processing.
🎁 Try DocHorizon Free:
✅ €25 in free credits
✅ Works with PDFs, scans, and multi-page files
✅ No code or tech skills required
⏱️ Timestamps:
0:00 Intro
0:35 Free Signup
0:57 Enable Required Services
1:19 Create Data Extraction Preset
1:40 Build Automation Flow
1:50 Configure Input Source
2:12 Extract Data with OCR
2:40 Save as JSON File
3:12 Conclusion
💼 💼 If you're part of an Accounting team, Finance department, ERP team, or Agency managing financial documents at scale, Klippa is the best solution to convert bank statements to structured JSON files automatically. No code, no errors, just clean data.
📁 Related Links:
🔗 Signup here: https://dochorizon.klippa.com/public/...
Book a demo: https://www.klippa.com/en/demo/?utm_s...
📄 DocHorizon Overview: https://www.klippa.com/en/dochorizon/...
📚 Step-by-step blog tutorial: https://www.klippa.com/en/blog/inform...
🔗 Follow us on LinkedIn: https://www.linkedin.com/company/klip...
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