RedBison

Translate text to International Morse code (ITU-R M.1677-1) or Morse back to text. Letters are separated by spaces and words by ' / '. Wrap prosigns in angle brackets (<SOS>, <AR>, <SK>). Also returns the transmission time at a given speed in words per minute, with optional Farnsworth spacing. Same rules as redbison.dev/morse-code-translator. Returns: Text: the Morse or decoded text. structuredContent { direction, morse | text, unsupported[] | unknownCodes[], durationSeconds, unitMs }. Example input: {"input":"SOS at 18 wpm","direction":"encode","wpm":18}

Spell text with the ICAO/NATO radiotelephony alphabet (Alfa, Bravo, Charlie...), with ICAO number words (Tree, Fower, Fife, Niner) or plain ones, optional Capital/Lowercase markers for passwords, or decode code words back to text. Same rules as redbison.dev/nato-phonetic-alphabet. Returns: Text: code words, ' / ' between input words. structuredContent { spelled, tokens[{char, word, pronunciation}] } or, for decode, { text, unknown[] }. Example input: {"text":"Gate B12","direction":"spell","spelling":"icao","digits":"icao","markCase":false}

Generate a cryptographically random password. Choose length and character classes. Returns: Randomly generated password string. Example input: {"length":20,"uppercase":true,"lowercase":true,"digits":true,"symbols":true,"count":1} On error, includes hint: `length` 4-256. Enable at least one character class (lowercase/uppercase/digits/symbols).

Estimate how guessable a password is with zxcvbn pattern matching (dictionary words, common passwords, keyboard walks, sequences, dates, l33t). Returns a 0-4 score, estimated guesses, entropy in bits, crack times for online and offline attacks, warnings, suggestions and NIST SP 800-63B-4 length checks. The password is not echoed back. Returns: JSON { score 0-4, label, length, guesses, guesses_log10, entropy_bits, character_pool_entropy_bits, character_classes[], crack_times[{scenario, seconds, display}], warning, suggestions[], patterns[{pattern, start, end, description}], nist_sp800_63b{...} }. The password itself is never included. Example input: {"password":"Tr0ub4dor&3","user_inputs":["alice"]} On error, includes hint: `password` must be a string of at most 256 characters; `user_inputs` is an optional array of strings.

Generate random-looking (non-deliverable) test email addresses. Returns: JSON array of random email address strings. Example input: {"count":3,"domain":"example.com"}

Generate random human names. Returns: JSON array of random human name strings. Example input: {"count":3}

Generate cryptographically random numbers in a range. Returns: JSON array of generated numbers. Example input: {"min":1,"max":100,"count":5,"mode":"integer"}

Score English text with Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and the Automated Readability Index, and list hard sentences, passive voice, -ly adverbs and wordy phrases with plainer alternatives. Syllables are estimated with rules plus an exception list. Same rules as redbison.dev/readability-checker. Returns: JSON { counts, wordsPerSentence, syllablesPerWord, fleschReadingEase, fleschBand, fleschKincaidGrade, gunningFog, smog, smogShortSample, colemanLiau, automatedReadabilityIndex, averageGrade, hardSentences, veryHardSentences, passiveVoice[], adverbs[], plainerWords[{found,try}], hardest[{sentence,words,grade,level}] }. Example input: {"text":"The committee utilized a methodology that was developed in order to facilitate a comprehensive assessment of the program. We read it twice.","lineBreaksEndSentences":true,"maxSentences":5}

Generate 301/302/307/308 redirect rules for Apache .htaccess (mod_rewrite), nginx, Netlify _redirects or vercel.json from a list of 'source destination [code]' lines. A source ending in /* moves a whole folder. Also checks for loops, chains and duplicates and can add HTTPS and www/non-www rules. Returns: JSON { platform, config (file text), ruleCount, issues[{ line, level, message }], notes[] }. Example input: {"rules":"/old-page /new-page\n/blog/* /news/:splat 301","platform":"nginx"}

Test a regular expression against text. Returns all matches and capture groups. Returns: JSON { matches: string[], count } of matches for the pattern. Example input: {"pattern":"\\d+","flags":"g","text":"order 42 shipped on day 7"} On error, includes hint: `pattern` is a JS RegExp source (double-escape backslashes in JSON). `flags` uses standard flags like g, i, m, s.

Remove duplicate lines from text while preserving first-occurrence order. Returns: Text with duplicate lines removed (order preserved). Example input: {"text":"apple\nbanana\napple\ncherry","caseInsensitive":false,"trim":true}

Strip blank / whitespace-only lines from the input. Returns: Text with blank lines removed. Example input: {"text":"one\n\ntwo\n\n\nthree"}

Collapse runs of whitespace inside each line to a single space and trim ends. Returns: Text with runs of whitespace collapsed to a single space. Example input: {"text":"hello world foo"}

Run any RedBison calculator by id with named inputs and get the result as JSON: mortgages and loans, savings and investing, pay and tax, body and fitness, maths, statistics, geometry, construction, science and engineering (beams, bolts, wire size, PCB traces, pipe flow, rafters, sheet metal and more). Call list_calculators first to see ids, inputs and units. Returns: JSON { id, title, url, inputs, result } with the calculator's outputs. Example input: {"id":"percentage-calculator","inputs":{}}

Search RedBison's 500+ tools by keyword: developer utilities, file and media converters, and finance, health, math and engineering calculators. Returns a ranked list with each tool's canonical URL and, when one exists, its in-depth guide. Use this when a user asks 'is there a tool for X?' or 'what RedBison tool should I use to Y?' Returns: JSON with { query, count, results[] } where each result has { id, name, description, url, category }. Example input: {"query":"json format","limit":5}

Compute simple interest: I = P × r × t. Returns: JSON { interest, total } computed as P·r·t. Example input: {"principal":10000,"annualRatePercent":5,"years":3}

Convert text to a URL-safe slug. Returns: URL-safe slug (lowercase, dashes). Example input: {"text":"Hello, World! 2026"}

Format a SQL query with keyword uppercasing and line breaks before major clauses. Returns: Formatted SQL query with keywords on new lines. Example input: {"sql":"select id,name from users where active=true order by name"}

Given a CIDR block (e.g. 10.0.0.0/24), return network, broadcast, netmask, first/last host, and host count. Returns: JSON with network, broadcast, first/last host, host count, and mask for the CIDR. Example input: {"cidr":"192.168.1.0/24"} On error, includes hint: `cidr` must be IPv4 in `A.B.C.D/prefix` form, prefix 0-32.

Compute a line-level diff between two strings. Returns a unified-style patch and per-line change list. Returns: JSON line-diff with { added, removed, unchanged } arrays. Example input: {"a":"line 1\nline 2\nline 3","b":"line 1\nline 2 changed\nline 3"}

Convert a timestamp between two IANA timezones. Returns the wall-clock time in the target zone. Returns: JSON { utc, zone, local } with the timestamp rendered in the target IANA timezone. Example input: {"timestamp":"2026-07-11T12:00:00Z","to":"America/Los_Angeles"} On error, includes hint: `timestamp` must be ISO 8601 (e.g. 2026-07-11T12:00:00Z); `to` must be an IANA zone like America/New_York.

Convert between TOML 1.0, JSON and YAML, validating the input. TOML dates become RFC 3339 strings in JSON; nulls are dropped when writing TOML (it has no null) and reported; integers beyond 2^53 are kept exact; inf and nan become strings in JSON. Use from=toml,to=toml to validate and normalise a TOML file. Returns: Text: the converted document. structuredContent { output, warnings[] } where warnings list dropped nulls, large integers and non-finite numbers. Example input: {"text":"[package]\nname = \"demo\"\nversion = \"0.1.0\"\n\n[dependencies]\nserde = \"1.0\"","from":"toml","to":"json","indent":2} On error, includes hint: TOML output needs an object at the top level; wrap arrays in a key.

Parse tab-separated values into JSON. First row is treated as header unless header=false. Returns: JSON array of row objects derived from the TSV header row. Example input: {"text":"name\tage\nAda\t36\nGrace\t85"} On error, includes hint: `text` must use real tab (\t) separators, not multiple spaces.

Percent-decode a URL-encoded string. Returns: Percent-decoded plain text. Example input: {"text":"hello%20world%20%26%20friends"}

Percent-encode a string for use in URLs. Returns: Percent-encoded string suitable for URL query values. Example input: {"text":"hello world & friends"}

Parse a User-Agent header into browser, engine, OS, device type, vendor, model and CPU (ua-parser-js), and detect search, AI, social, SEO and monitoring bots and HTTP libraries. Notes explain User-Agent reduction limits such as Windows 11 reporting as Windows NT 10.0. Returns: JSON { summary, browser{name,version,major}, engine{name,version}, os{name,version}, device{type,vendor,model}, cpu{architecture}, isBot, bot{name,category,owner}|null, notes[] }. Example input: {"userAgent":"Mozilla/5.0 (iPhone; CPU iPhone OS 17_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Mobile/15E148 Safari/604.1"}

Add Google Analytics UTM parameters (utm_source, utm_medium, utm_campaign, utm_id, utm_term, utm_content) to a landing page URL. Keeps existing query parameters and the #fragment, lowercases values by default, and predicts the GA4 default channel group. Returns: JSON { url, params, predictedChannel, warnings[] }: the tagged URL, the UTM values used, the likely GA4 default channel group (approximation) and any naming warnings. Example input: {"url":"https://example.com/pricing?plan=pro","source":"newsletter","medium":"email","campaign":"October Launch","content":"hero_button"}

Generate one or more v4 UUIDs. Returns: JSON array of v4 UUID strings. Example input: {"count":3} On error, includes hint: `count` must be an integer between 1 and 100.

Count words, characters (with and without spaces), sentences, paragraphs and lines in text, estimate reading and speaking time, list the most frequent words and check the text against common platform limits (X post weighted length, Bluesky, LinkedIn, SMS segments, meta description). Same rules as redbison.dev/word-counter. Returns: JSON { words, characters, charactersNoSpaces, sentences, paragraphs, lines, uniqueWords, utf8Bytes, averageWordLength, averageSentenceLength, readingTime, readingSeconds, speakingTime, speakingSeconds, topWords[{word,count,percent}], platformLimits[{platform,limit,used,remaining,over,detail}] }. Example input: {"text":"Short sentences help. Long ones, full of clauses that wander, do not.","readingWpm":238,"speakingWpm":150,"topWords":5}

Pretty-print an XML document. Returns: Pretty-printed XML string with normalized indentation. Example input: {"xml":"<root><a>1</a><b>2</b></root>","indent":2}

Normalize YAML indentation and whitespace. Returns: Normalized YAML string (2-space indent, collapsed blank lines). Example input: {"yaml":"a: 1\nb: 2\n\n\nc: 3"}

Convert simple YAML (maps, lists, scalars, flow {} / []) to JSON. Anchors, tags, and complex block scalars are not supported. Returns: Pretty-printed JSON built from the YAML input. Example input: {"yaml":"name: Ada\nskills:\n - math\n - logic"} On error, includes hint: Pass the YAML document as `yaml`; only 2-space indented block YAML is supported.