BSON to JSON
A fast BSON to JSON converter for developers and data engineers to transform, validate, and prepare data for APIs, databases, and analytics.

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About This Tool
The converter ingests BSON data (binary JSON) and outputs JSON text. It is designed for developers, data engineers, QA engineers, and API integrators who encounter MongoDB data traveling through systems. It supports BSON types such as strings, numbers, booleans, nulls, arrays, documents, ObjectId, Date and binary data, providing a faithful JSON representation for downstream processing. Conceptually, the tool decodes the binary stream to a structured JSON AST and renders a text payload that maintains data fidelity.
Core logic centers on exact type mapping and optional Extended JSON representations for non-native JSON types. Users can choose to view canonical JSON for simplicity or Extended JSON to preserve MongoDB-specific types like ObjectId or ISODate formats. The tool is designed for interoperability across APIs, data lakes, and analytics platforms, enabling data engineers to validate and share data across heterogeneous systems.
Use cases include exporting MongoDB documents for REST APIs, feeding JSON pipelines in data warehouses, and validating data before ingestion into SQL or analytical engines. Unique value lies in strict fidelity, error diagnostics, and the ability to handle nested structures with predictable JSON output. Core features include base64 or raw BSON input, robust parsing, precise type translation, and configurable output style for easy integration.
In practice, developers gain a reliable, fast path from BSON to JSON, reducing manual conversion effort and the risk of data loss. The tool is suitable for one-off conversions or part of automated ETL checks in data-driven projects.
How to Use
1. Provide inputs: paste BSON data or upload a BSON payload in base64.
2. Choose input encoding: raw BSON bytes or base64-encoded BSON.
3. Run conversion: initiate the conversion to JSON output.
4. Review outputs: inspect the JSON text and copy or export as needed.
5. Validate and integrate: verify JSON validity and use in APIs or data pipelines.

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