Open, inspect, and explore SQLite database files (.db, .sqlite, .sqlite3) in your browser. Browse tables, inspect column schemas, and export tables to CSV or Excel.
Browse tables and data models in your browser without installing DB Browser for SQLite.
.sqlite, .db, or .sqlite3 file usually requires downloading and installing database management applications like DB Browser for SQLite or DBeaver. ZechKit SQLite Viewer runs a full WebAssembly-compiled SQLite engine directly inside your browser. Drag and drop your SQLite database file to discover all tables, inspect schema definitions (column types, primary keys, nullability), browse table rows, search, and export tables to CSV or Excel with complete privacy.SQLite is the world's most widely deployed database engine, embedded inside billions of mobile devices (iOS and Android), desktop operating systems (macOS, Windows, Linux), web browsers (Chrome, Safari, Firefox), IoT firmware, and software applications. SQLite stores an entire relational database—including multiple tables, indexes, triggers, views, and schema definitions—within a single, cross-platform disk file (typically with .sqlite, .db, or .sqlite3 file extensions).
The internal architecture of SQLite is structured into several core subsystems:
ROWID), while Index B-Trees store sorted lookup keys.``
📦 my_database.sqlite (Single File Binary Container)
├── 📄 sqlite_master (Master Schema Catalog)
├── 📄 users (Table B-Tree: 5,000 Rows)
├── 📄 orders (Table B-Tree: 25,000 Rows)
└── 📄 products (Table B-Tree: 450 Rows)
``
Traditionally, inspecting an SQLite database required downloading and installing desktop database management tools like DB Browser for SQLite, DBeaver, or command-line sqlite3 binaries.
ZechKit SQLite Viewer eliminates software installation by embedding a full, official WebAssembly (WASM) build of SQLite 3 (`sql.js`) directly inside your web browser:
.sqlite or .db file into the browser.ArrayBuffer is mounted into the WebAssembly virtual memory space: new SQL.Database(new Uint8Array(arrayBuffer)).Upon loading a database, the engine automatically interrogates the SQLite master catalog to discover all user-defined tables:
``sql
SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%' ORDER BY name;
``
For each discovered table, the engine executes SQLite's PRAGMA table_info command to extract detailed column metadata:
| Field Name | Description | Output Representation |
| :--- | :--- | :--- |
| cid | Column ID index within the table. | #1, #2, #3 |
| name | Column header name. | "user_id", "email" |
| type | SQLite data type affinity. | INTEGER, TEXT, REAL, BLOB |
| notnull | Nullability constraint flag. | NOT NULL or NULLABLE |
| pk | Primary key indicator. | PRIMARY KEY Badge |
The SQLite Viewer studio provides an intuitive multi-tab workspace:
users, orders, products), displaying row count badges for each table.Users can extract and export individual database tables into universal spreadsheet formats with one click:
Unlike rigid SQL engines, SQLite uses dynamic type affinity where column data types are suggestions rather than absolute constraints:
Our viewer accurately renders each data type, ensuring transparent data fidelity.
Mobile application caches, desktop software databases, and internal analytics stores frequently contain confidential credentials, private customer transactions, and sensitive proprietary schemas.
ZechKit SQLite Viewer runs 100% locally in your web browser memory. The SQLite WebAssembly engine runs exclusively on your local CPU. Zero database bytes are ever transmitted over the network, guaranteeing complete confidentiality, zero latency, and absolute compliance with GDPR, HIPAA, and corporate data governance policies.
.sqlite, .db, and .sqlite3 database files seamlessly.Scenario: A mobile developer needs to inspect an iOS/Android SQLite database file (app_cache.db) containing user preferences and order tables.
SQLite database file (app_data.sqlite, 1.8 MB, 3 tables)
Full interactive browser with 'users', 'products', and 'orders' tables and 1-click CSV export
Opened database in 200ms and exported the orders table to CSV.