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Developers frequently need to use various tools such as JSON formatter, Base64 decoder, and time converter in their work.

Traditional methods require using multiple different tools separately, which can be inefficient.

Users need to handle JSON data frequently, which involves tasks like formatting and validation. The current situation requires users to manually format JSON strings, which can be tedious and error-prone. The drawback is that users often struggle to format, beautify, validate, and parse JSON data efficiently.

Users struggle with formatting and validating JSON data, making it challenging to ensure consistency and correctness across different applications. They often rely on manual processes or basic text editors, which can lead to errors and inefficiencies.

Drawbacks include difficulties in correctly formatting JSON data, validating JSON for errors, and sharing formatted JSON with others.

Users need to decode or encode files, images, and text from and to Base64, which can be a manual and time-consuming process.

Drawbacks of the old situation: Manual decoding and encoding processes are slow, error-prone, and inconvenient.

Developers manually write Zod schemas from JSON data, which is time-consuming and error-prone due to the complexity of validation rules and syntax requirements.

Developers manually create Joi schemas from JSON data, which can be time-consuming and error-prone.

The old process requires developers to meticulously handle nested JSON objects and data validation, leading to inefficient workflows.

Users manually format and convert JSON data, which is time-consuming and error-prone

Users need to manually convert JSONL files to JSON format, which is time-consuming and prone to errors due to complex nested structures or large datasets.

Users manually encode/decode Base64 and process JSON using separate tools, leading to time-consuming and error-prone workflows.

Users need to convert JSON to JSONL (JSON Lines) manually or via custom scripts, which is time-consuming, error-prone, and requires technical expertise to handle nested structures.