Data Tools
Convert, clean and reshape structured data quickly in your browser.
Free Online Tools for Data, Text, JSON, CSV and AI Learning
Fast, simple, browser-based tools for developers, data analysts, students and creators. No signup. No upload. No AI cost.
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Filter tools instantly by keyword, category or use case.
Tool Categories
Text Tools
Edit, normalize and analyze plain text without uploading content.
Developer Tools
Useful helpers for JSON, Base64, URLs and Markdown formatting.
AI Learning Tools
Practical browser-based tools for dataset preparation and beginner ML workflows.
Featured Tools
Popular browser-based utilities for daily data, text and ML tasks.
JSON Formatter
Format, validate and minify JSON directly in your browser.
Open toolCSV to JSON Converter
Convert CSV rows into JSON arrays with optional headers.
Open toolJSON to CSV Converter
Convert JSON arrays into CSV text for spreadsheets or exports.
Open toolDuplicate Line Remover
Remove duplicate lines from text with optional case sensitivity.
Open toolText Case Converter
Convert text to lowercase, uppercase, title case, camelCase and more.
Open toolWord Counter
Count words, characters, sentences, paragraphs and reading time.
Open toolDataset Splitter
Split CSV or JSON datasets into train, validation and test sets in your browser.
Open toolJSONL Validator and Formatter
Validate JSONL files line by line and normalize valid records in your browser.
Open toolCSV Column Profiler
Analyze CSV columns, missing values, unique counts and guessed types.
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Why use Tiny Data Tools
Runs in your browser
Your text and data stay on your device for the core tool workflows.
No signup required
Open the page, use the tool and move on without account friction.
Fast and lightweight
Static pages, small dependencies and simple interactions keep the site quick.
Useful for data and AI workflows
From JSON cleanup to confusion matrix checks, the tools support practical learning and work.
Latest Guides
Practical articles for data cleanup, JSON troubleshooting, format conversion and ML basics.
How to Clean CSV Data Before Machine Learning
A practical guide to checking headers, fixing missing values, removing duplicates and preparing cleaner CSV datasets for ML projects.
What Is a Confusion Matrix?
Understand the 2x2 confusion matrix, what TP, FP, FN and TN mean, and why it matters for classification evaluation.
Precision, Recall and F1 Score Explained
A beginner-friendly explanation of precision, recall and F1 score, including when each metric matters most.
CSV vs JSON: Which Format Should You Use?
Compare CSV and JSON for analytics, APIs, spreadsheets and app workflows, and learn when each format is the better choice.
How to Prepare a Dataset for AI Training
Learn the practical steps to prepare a cleaner, better labeled and better split dataset before model training.
Common JSON Formatting Errors and How to Fix Them
Fix trailing commas, unquoted keys, invalid quotes and other common JSON syntax mistakes with a simple troubleshooting checklist.