The Bloomer mock tool enables users to generate unlimited random mock data for free, making it a valuable resource for diverse purposes such as performance testing, data analytics, and customer presentations. It features an AI component for generating attribute data and supports multiple formats including JSON, Excel, CSV, XML, and HTML. Users can define their data structure using an intuitive UI, with a tree-based layout for managing flat and nested data. With around 1.5K pre-defined keys to choose from, users have flexibility in customization without the need for backend storage.
Bloomer mock tool offers limitless random data generation, supporting various formats and customization for realistic data needs, from customer displays to performance testing.
The tool provides an intuitive UI with a tree structure for defining attributes, allowing users to create both flat and nested mock data effortlessly.
Users can choose from approximately 1.5K pre-defined data keys, use AI for attribute generation, or define their own lists, ensuring flexibility in data creation.
Export formats include JSON, Excel, CSV, XML, and HTML, catering to diverse user requirements while ensuring no backend storage is needed for data.
Collection
[
|
...
]