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JSON-Base64 (JB64) is a file format for transferring database records and spreadsheet values, using the .jb64 extension. It is designed for data exchange across internet hosts, software programs, and programming languages, especially for row-and-column tabular data. The website explicitly positions it as a serious alternative to CSV, arguing that CSV carries historical baggage and has long suffered from inconsistent specifications, while XML has issues such as complexity.
In terms of functionality, JB64 supports multiple flat field types, including booleans, integers, floating-point numbers, and strings, and can preserve Unicode character sequences. Its first line is a header record that defines column names and types, with each subsequent line representing exactly one record, making it easy to parse programmatically. It supports streaming, which makes it suitable for pipeline transmission or line-by-line processing of large files. It also provides optional hashing to detect accidental data corruption. The documentation says the format is easy to implement in most modern programming languages, but does not provide a specific language list.
The JB64 specification is released into the public domain under Creative Commons Zero, and the text states that there are no known related patents. The official reference implementation can be used under either the MIT or LGPL license. This means developers can adopt it at low cost in both commercial and open-source projects. The website does not mention any fees, subscriptions, or commercial support, so it should be viewed more as an open file format and set of reference implementations than as a traditional SaaS developer tool.
Its strengths are a clear specification, an emphasis on data fidelity, support for type information and Unicode, and streaming capability. Compared with CSV, it is better suited to serious data migration and system integration work. The downsides are also clear: files are not suitable for humans to read or edit in a text editor; the format is intentionally “bulky,” and Base64 itself increases size by around 33%; and the format does not include built-in encryption, so stream encryption or SSL/TLS must be used separately. If file size is a concern, it also needs to be paired with compression methods such as zlib deflate.
JB64 is suitable for developers who need to exchange tabular data between in-house systems, database import/export tools, and spreadsheet-processing programs, especially teams that want to avoid CSV-related issues such as quoting, encoding, and loss of type information. For simple exchange scenarios where human readability and broad ecosystem compatibility matter more, CSV, JSON, or XML may still be more practical; for big-data use cases, formats such as Parquet and Avro are also worth considering. The collected content does not provide information about access from mainland China, payments, or mirrors, so China accessibility is unknown.
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