→ 
TXT to JSON Converter (Free AI Tool)
Convert text files to JSON with intelligent structure detection. Parse CSV, log files, and line-delimited data into JSON arrays or objects. Transform TXT to JSON for REST APIs and database imports.
Paste code in both editors to see differences
Hint: Paste original code on left, modified code on right, then click Compare to see differences highlighted.
Hint: Paste your code, customize font size and line numbers, then click Export PDF to download formatted code.
Hint: Paste your JWT token to decode and view its header, payload, and signature. The tool validates token structure and format.
Hint: Select conversion type, paste your data, and get instant conversion. Supports JSON, YAML, XML, Excel, PDF, and more.
How It Works
- 1
Paste Text File with Structured Data
Paste your text file content including CSV data with headers, log files with consistent format, line-delimited records, or key-value configuration files.
- 2
AI Detects Delimiters and Structure
The tool analyzes your data to detect CSV commas, TSV tabs, key=value pairs, or simple line-delimited lists. Chooses JSON array for lists/CSV or JSON object for key-value data.
- 3
Download Structured JSON
Receive JSON with proper structure ready for REST API POST requests, MongoDB imports, or JavaScript array processing with forEach() loops.
TXT vs JSON: Data Structure Comparison
| Feature | TXT | JSON |
|---|---|---|
| Format | Unstructured text | Structured JSON |
| Delimiters | Newlines, commas, tabs | Brackets, braces, commas |
| Structure | Implicit | Explicit arrays/objects |
| Parsing | Manual | Automatic |
| Use Case | Logs, CSV exports | REST APIs, databases |
| Data Types | All strings | Typed (strings, numbers) |
Code Examples
Example 1: Simple Line-Delimited List
Apple
Banana
Orange
Grape
Mango[
"Apple",
"Banana",
"Orange",
"Grape",
"Mango"
]Key Changes:
Each line in the text file becomes a string element in a JSON array. Empty lines are automatically filtered out. This format is ideal for simple lists like product names, usernames, or log entries. The resulting JSON array can be iterated in JavaScript with forEach() or mapped over. Common use case: converting exported lists from spreadsheets or databases into API-friendly format.
Example 2: CSV File with Headers
Name,Age,City,Active
Alice,28,NYC,true
Bob,34,LA,false
Carol,25,SF,true[
{
"Name": "Alice",
"Age": "28",
"City": "NYC",
"Active": "true"
},
{
"Name": "Bob",
"Age": "34",
"City": "LA",
"Active": "false"
},
{
"Name": "Carol",
"Age": "25",
"City": "SF",
"Active": "true"
}
]Key Changes:
CSV format with header row converts to JSON array of objects where the first row (Name,Age,City,Active) becomes property names for each object. Each subsequent row becomes an object in the array. Values are initially strings - you can parse numbers with parseInt() or booleans with JSON.parse() if needed. This structure is perfect for database imports, REST API batch operations, or converting Excel exports to JSON for web applications. The format matches what you'd get from SQL SELECT queries or NoSQL document stores.
Frequently Asked Questions
Each line in the text file becomes an element in a JSON array. For example, three lines 'Apple', 'Banana', 'Orange' convert to ["Apple", "Banana", "Orange"]. Empty lines are skipped. This format works for simple lists, log entries, or line-delimited records.
Yes. The converter detects comma or tab delimiters and converts CSV/TSV to JSON arrays of objects. The first row becomes property names. For example, 'Name,Age\nJohn,30' converts to [{"Name": "John", "Age": "30"}]. Handles quoted fields and escape characters.
Yes. Text with key=value or key: value format converts to JSON objects. For example, 'name: John\nage: 30' becomes {"name": "John", "age": "30"}. This handles .properties files, .env files, and configuration file formats common in system administration.