Free Online Data Tools

CSV to Excel

Writes a real XLSX with per-column types. ZIP codes keep their leading zeros and long IDs stay out of scientific notation.

Excel to CSV

Opens a workbook, lets you pick which sheets you want, and writes UTF-8 CSV with formulas resolved to their values.

CSV to PDF

Lays a CSV out as a printable table. Page size, orientation, and table theme are set before you download.

PDF to CSV

Finds the tables inside a text-based PDF such as an invoice, a bank statement, or a report, and gives them back as CSV. No page cap.

JSON to CSV

Flattens nested objects into dot-notation columns and explodes arrays into rows. Reads JSON arrays and JSON Lines alike.

CSV to JSON

Turns each row into a JSON object, with numbers and booleans typed rather than quoted. Output as an array or as JSON Lines.

Excel to JSON

Converts the sheet you pick to a JSON array or JSON Lines. Values follow the cell display format, and leading zeros survive.

JSON to Excel

Accepts arrays, bare objects, and JSON Lines. Nested fields flatten to dot-notation columns before the XLSX is written.

XML to Excel

Finds the repeating record element, folds attributes in beside child values, and writes the result to a single clean sheet.

XML to JSON

Every record comes out with the same key set, so a missing element is an explicit null instead of a surprise at row 900.

JSONL to CSV

Built for eval outputs, chat exports, and NDJSON logs. Ragged keys union into one column set in first-seen order.

XML to CSV

You pick the repeating element that counts as a record. Attributes fold in beside child elements, namespaces included.

XML to Table

For when you only want to read the thing. Renders XML as a table on the page and copies to the clipboard in one click.

CSV to Parquet

Casts columns to real types and writes Parquet with Snappy or Zstd compression. The output loads into BigQuery, Spark, Athena, and DuckDB.

Parquet to CSV

Reads Snappy, Zstd, and Gzip files, shows you the schema first, then exports the columns you select.

YAML to JSON

Reads anchors, merge keys, and multi-document files, then writes clean JSON. Dates stay ISO strings instead of becoming timestamps.

JSON to YAML

Turns machine JSON into a config file a person can maintain. Values that YAML would misread, like no or 01730, get quoted automatically.

CSV to YAML

A spreadsheet of settings becomes a YAML list, one map per row, with per-column typing so a stray zero does not corrupt the file.

YAML to CSV

Flattens nested maps to dotted columns and turns documents or list entries into rows. The one YAML converter TableConvert never built.

JSONL to JSON

Joins line-delimited records into one JSON array without touching their structure. A bad line is named by number, not a byte offset.

JSON to JSONL

Splits a JSON array into one record per line for streaming loads and fine-tune files.

CSV to JSONL

Rows become JSON Lines records with per-column typing, ready for OpenAI fine-tune files and BigQuery loads.

CSV to Markdown

Emits a GitHub-flavored pipe table with numeric columns right-aligned and pipes escaped, ready to paste into a README.

CSV to SQL

Generates CREATE TABLE plus batched INSERT statements in the Postgres, MySQL, SQLite, or SQL Server dialect, with inferred column types.

HTML Table to CSV

Paste a page fragment and each table becomes CSV. Colspan repeats across, rowspan fills down, and several tables zip together.

Avro to JSON

Opens Avro container files with null or deflate codecs, resolves logical types like decimals and timestamps, and writes JSON.

Avro to CSV

Flattens Avro records, including nested fields and maps, into a flat CSV without a Spark cluster.

SQLite to CSV

Opens a .sqlite or .db file in the browser, lists its tables, and exports the one you pick as CSV.

CSV Splitter

Cuts a big CSV into parts by row count or part count, repeats the header in every part, and zips the result.

CSV Diff

Compares two CSVs by a key column you pick, so re-sorted exports never show up as false changes. Reports added, removed, and changed rows.

CSV Deduplicator

Removes duplicate rows, matching on every column or just the ones you choose. The first occurrence stays, and you get the removal count.

Text to CSV

Turns delimited or fixed-width text files into clean CSV. Column boundaries in fixed-width extracts are detected for you.

Change CSV Delimiter

Rewrites a CSV with the separator you need, semicolons to commas included, with quoting handled correctly either way.

JSON Formatter

Formats or minifies JSON with the error located by line and column, a caret snippet included. A 20 MB file takes about a tenth of a second.

CSV Validator

Nine structural checks before your import fails at row 40,000: ragged rows, duplicate headers, mixed line endings, encoding damage, and more.

JSONPath Tester

Runs JSONPath queries with working filter expressions in a sandboxed evaluator, and can print RFC 9535 normalized paths for every match.

Excel Diff

Compares two workbooks by a key column you pick, so re-sorted sheets show zero false differences. Free and unmetered.

CSV Profiler

Column-by-column stats without Python: types, nulls, distinct counts, percentiles, and top values, plus a machine-readable JSON report.

Pivot Table

Rows, columns, values, and an aggregation, straight from a CSV. Totals are computed over the group, not averaged from averages.

Sample CSV Files

Eight downloadable test files, each built to exercise something specific: clean data, ragged rows, delimiters, unicode, leading zeros.

CSV Explorer

Profile, clean, and reshape a dataset with more than 30 no-code operations that stack into a pipeline you can rerun on the next file.

SQL in the Browser

A complete DuckDB engine in the tab. Join CSVs, aggregate them, and run window functions without standing up a database.

The Full Workbench

Every format and every operation in one workspace, with charts, multiple files open at once, and export to any supported format.