Media

Reduce P/B plosive thumps in close-mic speech while preserving voice body.

Media

Map harsh S, T, and SH regions so de-essing can target the right moments instead of dulling the whole voice.

Math & Numbers

Convert numbers and text between any radix from 2 to 36, with custom alphabets and presets for Base58, Base62, and Crockford Base32.

Games

Classic Connect Four (7×6). Drop pieces that fall by gravity; first to line up four horizontally, vertically or diagonally wins. Play against a heuristic AI, a hard alpha-beta AI, or a friend locally.

Text Processing

Convert a 2-space / 4-space / Tab indented hierarchical list (Markdown bullets, -, *, 1. prefixes optional) into a copyable ASCII directory tree. Two styles: Unicode box-drawing (├──└──│) for GitHub/Discord and classic ASCII (|--\--|) for plain text. Toggles for full guide lines, trailing spaces, and bracketed leaf nodes like docs/[api.md].

Media

Batch remux media files with stream copy.

Media

Embed cover artwork without re-encoding media.

Math & Numbers

Compute buoyant force, fluid density, or displaced volume from any two, with optional float/sink analysis

Math & Numbers

Combine capacitors in series/parallel, compute reactance Xc and RC time constant, with schematics and a reactance curve

Development

Surgically repair malformed CSV rows one at a time: unescaped (stray) quotes, mixed delimiters (tab/semicolon/comma in the same file), BOM-prefixed headers, CRLF/CR line endings and trailing empty lines. The surgeon parses tolerantly, shows a row-level red/green diff of every change it made (before → after, with the repair reason tagged), lists the rows it accepted unchanged, and emits the cleaned CSV. Optional AI repair can review suspicious rows after the deterministic pass. It complements the CSV Validator (which only reports problems) by actually fixing the damaged rows.

Development

Format and beautify minified or messy CSS code into readable, well-indented stylesheets

Development

Map messy CSV headers onto a clean target schema. Paste a CSV whose first row holds inconsistent column names (Customer ID, user_id, customerId, CUST_ID…) plus your target schema (one column per line) and an optional "alias=target" dictionary. Each source header is resolved through four layered passes — exact, dictionary, normalized (strips case/accents/separators/camelCase), then fuzzy edit-distance — and shown in a mapping table with method and confidence, plus target coverage and an optional normalized CSV export.