Add your PARQUET file
Drop one or more .parquet files onto the converter above, or browse for them. They load into browser memory only. Nothing is uploaded, so there is no size-based pricing and no server queue.
Restructuring .parquet data as .bson changes the serialization without touching the values themselves. Free, private, and validated: the file never leaves your browser.
Batch files can each use a different output. Nothing uploads for local conversions.
Working inputs include camera RAW, browser-local audio/video, PDF, CBZ/CBR comics, office documents, ebooks, markup, 3D models, structured text, images, and archives.Restructuring .parquet data as .bson changes the serialization without touching the values themselves. A .parquet file is a self-describing columnar dataset: values from the same field are stored together so an analytics engine can read only the columns and row groups a query needs. It is designed for compact long-term storage, unlike Arrow IPC, which is optimized for immediate in-memory access.
A .bson file holds BSON: the binary document format MongoDB stores and transmits. It looks like JSON with types added (every field is length-prefixed and carries a type byte) which makes documents skippable during a scan and gives them an ObjectId, a real date type, and 32- and 64-bit integers distinct from doubles. For this route the practical draw is exact numeric types and native dates, unlike JSON and length prefixes make skipping and partial reads cheap, balanced against often larger than the equivalent JSON, because of length prefixes and field names repeated per document, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .parquet, not human-readable and awkward to modify in place. Switching to .bson buys you exact numeric types and native dates, unlike JSON, which is why it is the better fit for inspecting a mongodump export without restoring it to a database. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | Apache Parquet (.parquet) | BSON (.bson) |
|---|---|---|
| Format type | Lossless: every pixel or sample is preserved exactly | Lossless: every pixel or sample is preserved exactly |
| How it stores data | columns are split into row groups and pages, allowing a reader to skip both irrelevant columns and ranges of rows | a document is a little-endian int32 total length, a sequence of typed elements, and a terminating null byte |
| Strongest at | storing analytics tables in a data lake or object store | inspecting a mongodump export without restoring it to a database |
| Weak spot | not human-readable and awkward to modify in place | often larger than the equivalent JSON, because of length prefixes and field names repeated per document |
| Metadata | the schema, logical types and column names are read. Key-value metadata is reported where relevant, but CSV cannot carry it and spreadsheets preserve only the displayed table rather than Parquet's physical encodings and statistics | type information is preserved through the conversion summary; JSON, CSV and spreadsheet targets record BSON-specific types as their documented string representations |
Drop one or more .parquet files onto the converter above, or browse for them. They load into browser memory only. Nothing is uploaded, so there is no size-based pricing and no server queue.
Select .bson in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if BSON is selectable, the route is real and validated.
Press Convert. The restructuring is plain local parsing, and your data is never posted to a server for processing.
Each result is checked before the download unlocks: where BSON has a signature or a structure this converter can read back, the file is re-opened and parsed, and where it has neither, the check is that a non-empty file of the declared type came back. A result that fails is reported as an error instead of being offered for download, and outputs keep the original filename with the .bson extension.
Since parquet is lossless-oriented and bson is lossless-oriented, the conversion preserves the source content exactly as stored; no additional compression pass is applied beyond what .bson itself requires.
Yes. The .parquet file is processed inside your browser tab and never uploaded. The restructuring is plain local parsing, and your data is never posted to a server for processing. Close the tab and the file is gone from memory.
Official MongoDB drivers for every major language decode BSON, and standalone libraries exist for Python, Java, Go, Rust and JavaScript. Novus Convert decodes .bson in the browser and writes JSON, CSV, XLSX, YAML or YML, handling non-JSON types explicitly: ObjectId and Decimal128 become their canonical string forms and Binary is reported rather than mangled into text.
It depends on the content: a document is a little-endian int32 total length, a sequence of typed elements, and a terminating null byte. Convert one representative file first and compare before batch-processing a large set.
In .parquet, the schema, logical types and column names are read. Key-value metadata is reported where relevant, but CSV cannot carry it and spreadsheets preserve only the displayed table rather than Parquet's physical encodings and statistics. Re-encoding through the browser pipeline does not carry embedded metadata into the output, which doubles as a privacy scrub. Check the exported file if you specifically need tags preserved.