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Data Formatters
7 formatters — Reformat and prettify CSV, XML, and YAML data files
Reformat structured data files — CSV, XML, and YAML — for readability and validation.
Base64
Base64 Encoder / Decoder
Encode any text or data to Base64, or decode Base64 strings back to plain text instantly. Free, client-side — nothing you paste is ever uploaded.
CSV Cleaner
CSV Cleaner & Formatter
Clean and normalise CSV data instantly: trim whitespace, fix delimiters, remove empty rows, and standardise line endings. In-browser — data never uploaded.
CSV→JSON
CSV to JSON Converter
Convert CSV data to formatted JSON instantly. Handles quoted fields, custom delimiters, and header rows. Runs entirely in your browser — nothing is uploaded.
JSON→CSV
JSON to CSV Converter
Convert a JSON array to CSV instantly — paste your JSON, choose a delimiter, and download or copy the output. Runs entirely in your browser.
URL Encode
URL Encoder / Decoder
Encode special characters in URLs using percent-encoding, or decode percent-encoded URLs back to plain text. Free, instant, client-side — nothing is uploaded.
XML→JSON
XML to JSON Converter
Convert XML to JSON instantly — paste your XML and get a clean, indented JSON representation. Handles attributes and text nodes. Runs entirely in your browser.
YAML
YAML Formatter
Format and validate YAML instantly in your browser. Catch syntax errors, normalise indentation, and produce clean output — nothing is ever uploaded anywhere.
About Data Formatters
The Data formatters category covers encoding, decoding, and conversion between the structured data formats used in web development, DevOps, and data engineering — Base64, CSV, JSON, URL encoding, XML, and YAML. Unlike the code formatters that beautify within a single format, these tools translate data across format boundaries.
Why data conversion tools matter
Modern applications rarely stay within a single data format. A backend API returns JSON; a finance team needs Excel CSV; a CI/CD pipeline reads YAML; a legacy system produces XML; an email system encodes attachments in Base64. Each crossing between formats is a point of potential error — mishandled quotes in CSV, lost attributes in XML-to-JSON conversion, unencoded characters breaking a URL. Having reliable, browser-based tools for these conversions reduces integration bugs and speeds up debugging.
Tools in this category
The CSV to JSON Converter and JSON to CSV Converter handle the most common data pipeline conversion — tabular spreadsheet data to and from API-friendly JSON. Both correctly handle quoted fields, custom delimiters, and nested structures.
The Base64 Encoder / Decoder covers the encoding format used in data URIs, email attachments, JWT tokens, and HTTP authentication headers. The URL Encoder / Decoder handles percent-encoding, which is essential when building URLs with query strings that contain spaces, special characters, or non-ASCII content.
The XML to JSON Converter bridges legacy XML APIs and SOAP services to modern JSON-based consumers. The YAML Formatter beautifies configuration files for Kubernetes, Docker Compose, GitHub Actions, and other DevOps tools.
Privacy
All data conversion runs in your browser. No content is transmitted to any server — your CSV exports, Base64 tokens, and configuration files remain private.
Frequently Asked Questions
The Data category includes six formatters for structured data exchange formats: the [Base64 Encoder / Decoder](/base64-formatter/) for binary-to-text encoding, the [CSV to JSON Converter](/csv-to-json-formatter/) for turning tabular data into JSON, the [JSON to CSV Converter](/json-to-csv-formatter/) for the reverse, the [URL Encoder / Decoder](/url-encoder-formatter/) for encoding special characters in URLs, the [XML to JSON Converter](/xml-to-json-formatter/) for transforming XML structures into JSON objects, and the [YAML Formatter](/yaml-formatter/) for beautifying YAML configuration files.
CSV is the universal format for spreadsheet data — exported from Excel, Google Sheets, or databases. JSON is the universal format for APIs and modern web applications. You convert CSV to JSON when loading a spreadsheet into a JavaScript application, a NoSQL database, or any API that expects JSON input. You convert JSON to CSV when you receive API data and need to analyse it in Excel or Google Sheets. The [CSV to JSON Converter](/csv-to-json-formatter/) and [JSON to CSV Converter](/json-to-csv-formatter/) handle both directions.
Base64 is a binary-to-text encoding scheme that represents binary data (images, files, raw bytes) as a string of ASCII characters. It is used to embed binary data in contexts that only support text — for example, embedding a small image directly in a CSS file as a data URI, encoding file attachments in email (MIME), passing binary tokens in JSON API payloads, or transmitting credentials in HTTP Basic Authentication headers. The [Base64 Encoder / Decoder](/base64-formatter/) both encodes text or binary to Base64 and decodes Base64 strings back.
URLs can only contain a restricted set of ASCII characters. Characters like spaces, ampersands, equals signs, and non-ASCII characters (including Hindi text in Devanagari script) must be percent-encoded before they appear in a URL. For example, a space becomes %20 and # becomes %23. This matters when constructing query strings for API requests, building shareable links with Indian language content, or debugging URL parsing issues. The [URL Encoder / Decoder](/url-encoder-formatter/) handles both encoding and decoding.
XML formatting beautifies an XML document by adding consistent indentation and line breaks — the structure and data remain unchanged. XML to JSON conversion actually transforms the data model: XML attributes and element nesting become JSON key-value pairs and arrays. The result is a semantically equivalent but structurally different representation. Use the [XML Formatter](/xml-formatter/) when you need readable XML; use the [XML to JSON Converter](/xml-to-json-formatter/) when you need to consume the data in a JavaScript application or a JSON-based API.
Yes. The [YAML Formatter](/yaml-formatter/) parses the input using a full YAML parser before reformatting it. If the input contains a syntax error — tabs used for indentation, mismatched quotes, duplicate keys — the formatter reports the error with the line and column position. A document must be syntactically valid before it can be reformatted. For a dedicated pass/fail YAML validation tool, use the [YAML Validator](/yaml-validator/).
No. All encoding, decoding, and conversion in this category runs entirely in your browser. Your data is never uploaded to any server, stored in a database, or logged. This makes the tools safe to use with API keys embedded in configuration files, personally identifiable data in CSV exports, authentication tokens in Base64 form, and other sensitive information — though you should exercise general caution when pasting sensitive data into any browser tab.
Yes, though performance depends on your browser and device. The converters process data entirely in memory in your browser — there is no server-side file size limit. Files with tens of thousands of rows convert in under a second on a modern device. For very large files (hundreds of thousands of rows), consider using a command-line tool like `jq`, `csvtool`, or `python` instead, as browser-based processing of multi-megabyte files may become slow.
The [CSV to JSON Converter](/csv-to-json-formatter/) correctly handles RFC 4180-compliant CSV, including quoted fields that contain commas, line breaks, and double-quote characters (escaped as two consecutive double-quotes). For example, a field value like 'Bengaluru, Karnataka' wrapped in double quotes is treated as a single field, not split at the comma. If your CSV uses a different delimiter (semicolon or pipe), the converter allows you to specify the delimiter.
Base64 encoding increases data size by approximately 33% — every 3 bytes of input become 4 ASCII characters of output. A 1 KB binary file becomes approximately 1.37 KB when Base64-encoded. This size overhead is the trade-off for representing binary data as text. For embedding small icons or logos in CSS, the overhead is acceptable. For large images or file attachments, storing the file separately and referencing it by URL is more efficient than Base64 embedding.
The [YAML Formatter](/yaml-formatter/) uses the `yaml` npm package which implements the YAML 1.2 specification — the current standard. YAML 1.2 is a superset of JSON, meaning any valid JSON document is also valid YAML 1.2. If your content was written for YAML 1.1 (used by older tools like Python's PyYAML), be aware that YAML 1.1 has subtle differences: 'yes' and 'no' are booleans in 1.1 but plain strings in 1.2. The formatter accepts both but reports YAML 1.2 semantics.
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