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Data Format & Encoding Converters

Choose a converter for tabular data, structured documents, delimiter changes, or Base32 and Base64 text encoding.

ESC

Base32 Encoder / Decoder

Encode text to RFC 4648 Base32 or decode Base32 back to UTF-8. Encoding produces uppercase A-Z and 2-7 output, while decoding accepts either case.

Hello
JBSWY3DP

Base64 Encoder / Decoder

Encode text to Base64 or decode Base64 back to text, with standard and URL-safe variant support.

Hello
SGVsbG8=

CSV JSON Converter

Convert JSON to CSV and CSV back to JSON, with nested-object flattening/un-flattening, array handling, selectable fields, type inference, and batch ZIP export.

name,age
Alice,34
[{"name":"Alice","age":34}]
JSON output

CSV to Excel Converter

Convert CSV files to Excel (.xlsx) with automatic delimiter/encoding detection, a data preview, column types, and multi-sheet output.

customers.csv
name,age
Alice,34
customers.xlsx
worksheet created
preview + typed columns

CSV to XML Converter

Convert CSV or TSV files to XML with configurable delimiter, encoding, quoting, column-to-element/attribute mapping, XML name sanitization, and indentation.

name,age
Alice,34
<rows>
<row><name>Alice</name>
</row></rows>

Delimiter Converter

Convert delimited tables between CSV, TSV, semicolon, pipe, or a custom delimiter with explicit quoting, escaping, and null handling.

name;city
Alice;London
name,city
Alice,London

JSONL CSV Converter

Convert JSON Lines to CSV and CSV to JSON Lines, with line-level error reporting, schema discovery, nested-value policies, and streaming for large files.

{"id":1,"name":"Alice"}
id,name
1,Alice

Parquet to CSV Converter

Convert a local Apache Parquet file to spreadsheet-compatible CSV directly from its native schema and row groups: choose column order, delimiter, quoting, encoding, null/date/decimal/binary formatting, and an explicit nested-value policy, with a sidecar type report and row-group progress.

events.parquet
id | value
events.csv
id,value
type report

TOML to JSON Converter

Convert a pasted or uploaded TOML configuration file into nested JSON, with pretty/compact output, precise line/column parse errors, and explicit tagging of date and time values.

[user]
name = "Alice"
{"user":{"name":"Alice"}}

XML to JSON Converter

Convert XML files to JSON with attribute handling, selectable root paths, pretty or compact output, and encoding support.

<user><name>Alice</name></user>
{"user":{"name":"Alice"}}

YAML to JSON Converter

Convert a pasted or uploaded YAML file into JSON, preserving mappings, sequences, scalar types, and nulls, with an explicit multi-document policy, pretty/compact output, and precise indentation/anchor/alias/syntax error locations.

name: Alice
age: 34
{"name":"Alice","age":34}

Choose a converter by your input and output

Start with the format you have and the format or representation you need. CSV JSON Converter and JSONL CSV Converter work in both directions. Use the first for JSON and CSV, or the second when your records are JSON Lines and you need line-level handling.

For a delimited table that already has the right kind of data but the wrong separator, use Delimiter Converter. It covers comma, tab, semicolon, pipe, and custom delimiters, with controls for quoting, escaping, and null handling. One-way format changes include CSV to Excel Converter, CSV to XML Converter, and Parquet to CSV Converter.

For configuration or document formats that need to become JSON, choose XML to JSON Converter, YAML to JSON Converter, or TOML to JSON Converter. These converters operate toward JSON; they do not convert JSON back to XML, YAML, or TOML. If your task is text encoding rather than format conversion, use Base32 Encoder / Decoder or Base64 Encoder / Decoder.

Convert CSV, TSV, JSONL, and Parquet data

Choose based on the structure of the source and how much control you need over the destination. CSV JSON Converter supports nested-object flattening and un-flattening, array handling, selectable fields, and type inference. JSONL CSV Converter adds line-level error reporting and policies for nested values, headers, nulls, duplicate columns, and type inference.

Use Delimiter Converter when the main change is the dialect of an existing table. Use CSV to Excel Converter when the destination is an XLSX workbook; it provides delimiter and encoding detection, a preview, column types, and multi-sheet output. Use CSV to XML Converter when the destination is XML and you need delimiter, encoding, quoting, column mapping, name sanitization, and indentation controls.

Use Parquet to CSV Converter for Apache Parquet input. It exposes column order, delimiter, quoting, encoding, null, date, decimal, binary, and nested-value choices. A tabular output may represent nested values or source types differently, so review those choices before exporting.

Convert XML, YAML, and TOML documents to JSON

Choose the converter that matches the document syntax. XML to JSON Converter provides attribute-handling choices, selectable root paths, pretty or compact output, and input encoding choices. YAML to JSON Converter provides multi-document policies, pretty or compact output, and indentation choices. TOML to JSON Converter turns TOML configuration content into nested JSON with pretty or compact output and indentation choices.

All three are one-way converters toward JSON. Format-specific details may need review when they are mapped into JSON, especially when the source contains multiple documents, attributes, or other structures that do not have a direct equivalent.

Encode text with Base32 or Base64

Base32 and Base64 are text-encoding tasks, not encryption or compression. Both pages provide automatic, encode, and decode modes. Base32 Encoder / Decoder uses the RFC 4648 alphabet with letters A–Z and digits 2–7. Base64 Encoder / Decoder supports standard and URL-safe Base64 variants, so choose it when the receiving context specifies one of those forms.

Review conversion options before exporting

After choosing the source and destination, inspect the controls provided by that specific converter. Depending on the workflow, you may need to set delimiters, quoting, encoding, nesting, attributes, multi-document handling, indentation, nulls, or type formatting. The tools provide previews, parse or validation errors, or result workspaces according to the tool.

Review the result before using it elsewhere. A successful conversion does not prove that the output matches your intended schema or business meaning. In particular, check delimiter and null handling, nested-value policies for JSONL, Parquet type-loss choices, and YAML multi-document handling. The conversion direction and destination format determine which information can be represented directly.