In-Browser SQLite Binary Parsing & Structural JSON Serialization
Binary database files (.db, .sqlite) and multi-format document assets (PDF, CSV, XML, YAML) often create data integration bottlenecks when developing modern web applications, REST APIs, or frontend interfaces. Migrating database tables or extracting PDF text normally requires running local Python scripts, installing database management GUIs, or transmitting proprietary data files to risky third-party cloud servers.
The Lushai Dev Database & File to JSON Converter bridges this gap by embedding a WebAssembly (WASM) compiled C engine (sql.js) directly inside the browser virtual machine. You can drag and drop raw binary SQLite databases, inspect table schemas, run custom SQL queries, and export clean JSON structures without a single byte leaving your machine.
In addition to SQLite files, the converter natively parses PDF documents, tabular CSV/TSV spreadsheets, hierarchical XML markup, and YAML manifests into clean, validated JSON objects equipped with interactive tree visualizers and flat table grid viewers.
Core Engineering Features & Standards
SQLite WASM Binary Database Parser
Read SQLite 3 binary files (.db, .sqlite, .sqlite3), list internal tables, execute custom SELECT queries, and export full schemas to JSON.
PDF Document Text & Page Structure Extractor
Parses PDF text streams into structured page-by-page JSON arrays with page numbers, lines, and text items.
Tabular CSV & TSV Auto-Typing
Uses PapaParse for automated header mapping, string trimming, and dynamic integer/boolean type casting.
DOM XML & YAML Parser
Recursively converts XML nodes and YAML configuration keys into nested JSON objects.
Zero Server Transmission (100% Client Memory)
All processing occurs locally inside WebAssembly memory heaps, satisfying strict data confidentiality and compliance standards.
Technical Specifications & Compliance
| SQLite WASM Engine | Sql.js 1.12 C-WASM Binary Compiler |
| Supported File Extensions | .db, .sqlite, .sqlite3, .pdf, .csv, .tsv, .xml, .yaml, .yml, .json |
| Max File Processing Size | Up to 100MB in browser memory |
| Execution Latency | < 20ms for 10,000 table records |
| Export Modes | Prettified JSON (2/4 spaces), Minified JSON, Flat CSV |
Production Implementation Code Snippets
const Database = require('better-sqlite3');
const fs = require('fs');
// Open SQLite database file
const db = new Database('production.db');
// Export table 'users' to JSON
const rows = db.prepare('SELECT * FROM users WHERE status = ?').all('active');
fs.writeFileSync('users.json', JSON.stringify(rows, null, 2));
console.log(`Exported ${rows.length} records to users.json`);import sqlite3
import json
# Connect to SQLite .db file
conn = sqlite3.connect('production.db')
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
# Query table
cursor.execute('SELECT * FROM users')
rows = [dict(row) for row in cursor.fetchall()]
# Output JSON
with open('users.json', 'w') as f:
json.dump(rows, f, indent=2)
print("Export complete!")Production Security & Architectural Best Practices
Inspect Table Column Types Before Export
SQLite uses dynamic typing (manifest typing). Verify that integer primary keys and BLOB columns translate properly into standard JSON types.
Use Custom SQL for Targeted JSON Exports
Instead of dumping massive database tables, write a SELECT query with WHERE clauses or column picks to minimize JSON payload sizes.
Frequently Asked Questions & Technical Insights
Does this tool upload my .db or .pdf file to any server?
No. All file reading, WASM database querying, and PDF parsing occur strictly inside your local web browser memory. No network payload is sent.
Can I execute custom SQL queries on my uploaded SQLite file?
Yes! Once your .db or .sqlite file is loaded, you can type any SELECT query in the SQL console to filter and export specific database rows to JSON.
How large of a .db or .pdf file can I convert?
The converter can process SQLite files and PDFs up to 100MB smoothly, depending on your computer available RAM.