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Fileora
DATA FORMAT CONVERTER

Your data, in the shape you need.

Convert JSON, YAML, XML, TOML, CSV, TSV, and NDJSON. Nothing is ever uploaded.

100% in-browser processing
Zero server uploads
Pivot: JavaScript Object / Array Tree

Drop files here, or click to browse

PDF, DOCX, XLSX, PPTX, JPG, PNG, MP3, MP4, EPUB, ZIP and 100+ more

See all formats →
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
CSV
SOURCE
Data
JSON
CONVERTEDLOCAL
Data
JSON
SOURCE
Data
YAML
CONVERTEDLOCAL
Spreadsheet
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CONVERTEDLOCAL
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About Fileora Data Conversion

Seamlessly translate structured configuration and data exchange formats for modern software development. Convert between JSON, YAML, XML, TOML, and tabular CSV/TSV with strict type preservation. Fileora flattens deeply nested object hierarchies into dot-notation columns for spreadsheet analysis, validates schema syntax on the fly, and lets you instantly copy prettified results directly to your clipboard.

Popular Data Conversions

Pre-configured in-browser conversion bridges with verified fidelity ratings.

JSONYAML
exact
YAMLJSON
exact
CSVJSON
exact
JSONCSV
exact
Nested data structures flattened into columns using dot notation paths.
XMLJSON
good
Data tree serialized between structured markup representations.
XLSXJSON
exact
Values only; formulas, charts, macros, and formatting are not exported.
TOMLJSON
exact
JSONXML
good
Data tree serialized between structured markup representations.
JSONTOML
exact
YAMLTOML
exact
TOMLYAML
exact
NDJSONJSON
exact
TSVJSON
exact
JSONNDJSON
exact
JSONTSV
exact
Nested data structures flattened into columns using dot notation paths.
YAMLXML
good
Data tree serialized between structured markup representations.

Supported Data Formats (6)

Inspect technical specifications and supported conversion targets.

JSON.json

JavaScript Object Notation is the undisputed lingua franca of web APIs and configuration. It represents key-value structures, arrays, and primitives in clean readable text.

YAML.yaml

YAML Ain’t Markup Language is a human-friendly data serialization language using indentation to represent structure, widely used in DevOps configurations.

XML.xml

Extensible Markup Language is a standard markup language defining a set of rules for encoding documents in a format that is both human-readable and machine-readable.

TOML.toml

Tom’s Obvious Minimal Language is a configuration file format designed to be easy to read due to obvious semantics, favored by Rust (Cargo) and Python (pyproject).

NDJSON.ndjson

Newline Delimited JSON stores structured records one per line. It enables efficient line-by-line streaming without parsing an entire massive file at once.

Binary Data.bin

Generic binary data file with unspecified structure.

Dedicated Data Tools

Focused workstations with specialized client-side parameters.

JSON Formatter & Validator

Format JSON online and validate syntax errors. Use our private JSON beautifier to pretty print JSON payloads locally in your browser with zero server traffic.

Open Tool

Base64 Encoder & Decoder

Encode and decode Base64 data online. Convert image to Base64 data URLs or decode Base64 strings to files locally with our Base64 encoder decoder.

Open Tool

Related Categories

SpreadsheetDocument

Frequently Asked Questions

Nested objects are recursively flattened into tabular columns using standard dot notation (e.g., user.address.city), and arrays are indexed sequentially.