#text

Re-mapeia texto entre layouts de teclado — a correção para texto digitado com o teclado configurado no layout errado. O endpoint remap recebe texto, um layout de origem e um layout de destino, e reescreve cada caractere para aquele produzido pela mesma tecla física no outro layout. Assim, texto digitado acidentalmente em um teclado configurado para Dvorak enquanto você queria QWERTY (ou o inverso) é recuperado exatamente, e como o mapeamento preserva a posição, ele faz ida e volta perfeitamente. Suporta QWERTY (US), Dvorak e Colemak, incluindo os símbolos shiftados, e deixa caracteres que não estão em uma tecla remapeável (espaços e acentos) intocados. O endpoint layouts retorna o mapa completo de teclas para cada layout. Tudo é computado localmente e deterministicamente, então é instantâneo e privado. Ideal para corrigir digitação no layout errado, construir editores de texto e ferramentas IME, auxílios de aprendizado de layout e pesquisa entre layouts. Computação local pura — sem chave, sem serviço de terceiros, instantâneo. Ao vivo, nada armazenado. 3 endpoints. Isso remapeia entre layouts de teclado; para cifras clássicas (César, ROT13, Morse) use uma API de cifra.

api.oanor.com/keyboardlayout-api

Measure the information content of text. The analyze endpoint computes the Shannon entropy in bits per symbol, the total information in bits and bytes, the maximum possible entropy for the alphabet that was actually used, and a normalized 0–1 score that says how uniform (random-looking) the distribution is — over Unicode code points or raw UTF-8 bytes. The frequency endpoint returns the full character-frequency distribution, most common symbol first, with counts and percentages, showing control characters escaped and bytes as hex. It is exact, deterministic and runs entirely locally with no network calls, so it is instant and private. Ideal for randomness and password-quality checks, estimating how compressible data is, language and classical-cipher analysis, spotting low-variety or repetitive input, and feature extraction for text classification. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This measures information content; for password-strength scoring use a password API, for number statistics use a statistics API, and for grapheme/character counts use a text-segmentation API.

api.oanor.com/entropy-api

Genera n-gramas a partir de texto, con recuentos de frecuencia, completamente local. El endpoint ngrams divide el texto en secuencias contiguas de n tokens y devuelve cada n-grama distinto con la frecuencia con la que aparece, ordenado por frecuencia: n-gramas de palabras (unigramas, bigramas, trigramas y más) para análisis de frases y colocaciones, o n-gramas de caracteres (shingles) para coincidencias aproximadas, detección de idioma e indexación. El endpoint range produce todos los tamaños desde un mínimo hasta un máximo en una sola llamada (por ejemplo, gramos 1–3), que es exactamente lo que necesitas para construir vectores de características. Elige modo de palabra o carácter, si convertir a minúsculas primero, y un límite top-N para conservar solo los más frecuentes. La tokenización de palabras es compatible con Unicode y mantiene apóstrofes y guiones internos (don't, well-known) como tokens individuales. Todo se ejecuta local y determinísticamente, por lo que es rápido y privado. Ideal para minería de texto y extracción de características de PNL, modelado de lenguaje y autocompletado, indexación de búsqueda y shingling, detección de plagio y similitud, y análisis de palabras clave y colocaciones. Cálculo puramente local: sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto produce n-gramas y recuentos; para resúmenes extractivos y palabras clave usa una API de resumen y para el recuento de grafemas/caracteres usa una API de segmentación de texto.

api.oanor.com/ngram-api

Strip, extract and count emoji in any text. The strip endpoint removes every emoji from a string — or replaces each one with a marker you choose — and gets multi-code-point emoji right: ZWJ sequences like the family 👩‍👩‍👧‍👦, skin-tone modifiers (👍🏽), country flags (🇩🇪), keycaps (1️⃣) and variation selectors all count as a single emoji, so nothing is left half-deleted. The extract endpoint lists every emoji it finds with its position in the text and returns per-emoji and unique counts, ideal for analytics and moderation. A bare ©, ® or ™ is deliberately left alone unless it carries an emoji variation selector, and plain digits are never touched. Perfect for cleaning user input before search indexing or storage, sanitising usernames and display names, moderation and analytics, and preparing text for systems that choke on emoji. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This cleans and extracts emoji from text; to look an emoji up by name or shortcode use an emoji database API, and to count graphemes use a text-segmentation API.

api.oanor.com/emojistrip-api

Extrai iniciais e monogramas de avatar a partir de um nome ou frase. O endpoint de iniciais retorna a primeira letra de cada palavra significativa — ignorando automaticamente partículas nobiliárias e de ligação em minúsculas (van, von, de, della, la, der, of, the…) de modo que "Ludwig van Beethoven" retorna LB e "Charles de Gaulle" retorna CG — com opções para um separador entre letras, forma pontuada (J.D.), maiúsculas ou caixa original, e um número máximo de iniciais. O endpoint de monograma retorna as iniciais curtas de um, dois ou três caracteres usadas para avatares e chips de interface, pegando a primeira e a última palavras significativas ("John Michael Doe" → JD) e recorrendo às letras iniciais de um único nome. Tudo é seguro para multibyte, então letras acentuadas e não latinas (José María → JMA) funcionam corretamente. Ideal para avatares padrão, chips de contato, crachás de iniciais, gráficos de monograma, cabeçalhos de documentos e mala direta. Computação local pura — sem chave, sem serviço de terceiros, instantâneo. Ao vivo, nada armazenado. 3 endpoints. Isso produz o texto das iniciais; para renderizá-las como uma imagem de avatar, use uma API de avatar.

api.oanor.com/initials-api

Detect which case convention a string uses, and split identifiers into their constituent words. The detect endpoint classifies any value as camelCase, PascalCase, snake_case, CONSTANT_CASE, kebab-case, COBOL-CASE, Train-Case, dot.case, Title Case, Sentence case, lowercase or UPPERCASE — or mixed when it does not fit — and reports the separator it found and the words it is built from. The split endpoint tokenizes any identifier into words: it breaks camelCase humps, handles acronym boundaries correctly (HTTPServer → HTTP, Server; XMLHttpRequest → XML, Http, Request), and splits on digits and on underscores, dashes, dots and spaces, returning both the original-case tokens and lower-cased words ready to feed into a converter. Ideal for linters and code-mod tools, refactoring, API and schema validators, autocomplete and search, and any pipeline that needs to understand identifier naming. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This DETECTS and tokenizes a case convention; to CONVERT a string between case styles use a text-case API.

api.oanor.com/casedetect-api

缩进、取消缩进并在纯文本中逐行将制表符转换为空格。缩进端点为每一行添加固定的缩进——一定数量的空格或制表符，或任何自定义前缀，如用于引用的"> "——并且可以选择性地缩进空行。取消缩进端点移除块中最长的公共前导空白（与Python textwrap.dedent相同），因此您可以展平过度缩进的代码片段，并准确获取被移除的前缀。制表符端点根据制表位在制表符和空格之间转换——将制表符展开为空格，或将连续的空格折叠回制表符，可指定制表符大小，仅处理前导空白或全文。它适用于任何文本，无需将其解析为代码，并保留CRLF换行符。纯本地计算——无需密钥，无需第三方服务，即时完成。实时处理，不存储任何内容。4个端点。它仅处理空白结构：要修剪或排序行，请使用行API；要重新换行长行，请使用自动换行API；要重新格式化实际源代码，请使用代码格式化API。

api.oanor.com/indent-api

Pad e alinha strings a uma largura alvo. O endpoint pad adiciona um caractere de preenchimento ao início, fim ou ambos os lados de um valor até que ele atinja a largura solicitada — preencha um número com zeros (7 → 007), alinhe à direita uma coluna de preço, centralize um título ou construa um campo de largura fixa — com qualquer string de preenchimento (espaço, 0, traço, pontos) e um sinalizador opcional de truncamento para cortar valores que já são muito longos. O endpoint align pega uma lista inteira de linhas (ou texto separado por nova linha) e preenche cada linha até uma largura comum, para que as colunas se alinhem em tabelas de largura fixa, layouts ASCII, recibos, faturas e logs. A largura é contada em pontos de código Unicode, então emojis e letras acentuadas contam como um e nunca são divididos. Computação local pura — sem chave, sem serviço de terceiros, instantâneo. Ao vivo, nada armazenado. 3 endpoints. Isso preenche até uma largura; para quebrar texto longo em várias linhas, use uma API de quebra de palavras, e para converter entre estilos de maiúsculas/minúsculas, use uma API de caso de texto.

api.oanor.com/pad-api

Mascara un valor para mostrarlo de forma segura. El endpoint de máscara mantiene visibles los primeros y/o últimos caracteres y reemplaza el resto con un carácter de máscara — así una tarjeta se convierte en ••••••••••••1111 y un token API en sk**********3456 — y puede mantener intactos los separadores (espacios y guiones) para que el valor conserve su forma. Un enmascarador de correo electrónico dedicado oculta la parte local (y opcionalmente el dominio) mientras mantiene la dirección reconocible, por ejemplo, j•••••••@example.com. Elige cuántos caracteres revelar y qué carácter de máscara usar. Perfecto para mostrar los últimos cuatro dígitos de una tarjeta, ocultar parcialmente correos electrónicos y números de teléfono, y enmascarar tokens y números de cuenta en interfaces de usuario, recibos y registros. Cálculo puramente local — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto enmascara un valor conocido para su visualización; para encontrar y redactar PII dentro de texto libre, usa una API de redacción.

api.oanor.com/mask-api

Operate on text line by line. The transform endpoint sorts lines (natural / numeric-aware, ascending or descending, case-insensitive), removes duplicate lines, reverses their order, numbers them, trims whitespace and drops blank lines — and the operations chain in the order you list them, so trim → remove blanks → dedupe → sort happens in a single call. The count endpoint reports line statistics: total, blank, non-blank, unique and duplicate counts plus the longest, shortest and average line length. Perfect for cleaning up lists and logs, deduplicating, preparing data and tidying pasted text. Pure local computation — no key, no third-party service, instant; up to 500,000 characters via POST. Live, nothing stored. 3 endpoints. Distinct from word wrapping, sorting of JSON lists and CSV tooling.

api.oanor.com/lines-api

Highlight search terms in text. The highlight endpoint wraps every match of one or more terms in a marker — defaulting to <mark>…</mark>, or any open/close strings you choose (** for Markdown, ANSI codes for the terminal, a CSS span, anything) — and returns the marked-up text and a match count. The snippets endpoint returns short excerpts of the surrounding context around each match, the way a search-results page shows where your query appears. Matching is case-insensitive by default with optional whole-word mode, and terms are matched literally (regex characters are safely escaped). Perfect for search results and in-page find, keyword spotting, log review and document previews. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. Distinct from search, summarization and diff APIs.

api.oanor.com/highlight-api

Truncate text cleanly. Cut a string to a maximum number of characters — at the end, the start or the middle — breaking on word boundaries so words are never chopped in half, and adding an ellipsis (which counts toward the limit). Middle truncation keeps the start and end and elides the centre, ideal for long file paths and IDs. A words endpoint trims to a number of whole words instead. Everything is emoji- and Unicode-safe (it counts code points, not bytes), so multi-byte characters and emoji are never split. Perfect for previews and teasers, table cells and cards, meta descriptions, breadcrumbs and CLI output. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. Distinct from word wrapping, case conversion and text statistics.

api.oanor.com/truncate-api

Detect and redact personally identifiable information (PII) in free text. It finds email addresses, phone numbers, credit-card numbers (Luhn-validated to cut false positives), IPv4 and IPv6 addresses, US Social Security numbers and IBANs, and masks each one — with a per-type label like [EMAIL], a fixed replacement string, or a single character repeated to the original length. A detect endpoint returns every match with its type and position without changing the text. Perfect for scrubbing logs and support transcripts, sanitising data before sharing or sending to a third party, and privacy and compliance pre-checks. Pure local computation — text never leaves the server, no key, no third party, instant; up to 200,000 characters via POST. Live, nothing stored. 3 endpoints. Regex-based and best-effort — review before relying on it for legal compliance. Distinct from sentiment, profanity and general text tooling.

api.oanor.com/redact-api

Convert a heading to proper headline (title) case the way editors do — not a naive capitalise-every-word. It capitalises the first and last words and all the major words, while keeping articles (a, an, the), coordinating conjunctions (and, but, or…) and prepositions lowercase, and always capitalises the word right after a colon. Choose AP style (lowercases short prepositions, capitalises longer ones) or Chicago style (lowercases prepositions of any length). Hyphenated compounds such as well-known and state-of-the-art are handled correctly. Perfect for article and blog titles, headings, SEO meta titles, product and section names, and CMS tooling. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. Distinct from a plain title/sentence case converter, which capitalises every word.

api.oanor.com/titlecase-api

Work with anagrams. The check endpoint tells you whether two strings are anagrams of each other — by default ignoring case, spaces and punctuation, so "Dormitory" and "Dirty Room" match. The signature endpoint returns the canonical sorted-letter key for a string; two strings are anagrams exactly when their signatures are equal, which makes the signature ideal for indexing and bucketing. The group endpoint takes a list of words and groups them into their anagram sets. Perfect for word games and puzzles, dictionaries and search, and de-duplicating reordered strings. No word list needed — it is pure letter analysis. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 4 endpoints. Distinct from spelling, similarity and dictionary APIs.

api.oanor.com/anagram-api

Reflow plain text to a fixed column width on word boundaries — the classic word-wrap you need for terminal and CLI output, email and plain-text formatting, code comments, README and changelog blocks, and fixed-width reports. The wrap endpoint breaks text to a chosen width while preserving paragraphs (blank-line separated), with optional left indentation and the option to hard-break words longer than the line; the unwrap endpoint does the reverse, collapsing a wrapped block back into single-line paragraphs. Pure local computation — no key, no third-party service, instant; up to 200,000 characters via POST. Live, nothing stored. 3 endpoints. Distinct from case conversion, slugs and text statistics.

api.oanor.com/wordwrap-api

Convert text to Unicode braille and back. Uses uncontracted (Grade 1) English braille: the 26 letters, digits with the number sign, capitals with the capital sign, and common punctuation, all output as Unicode Braille Patterns (U+2800–U+28FF) so they render anywhere. The to-braille endpoint turns ordinary text into braille; the from-braille endpoint decodes braille back to text. Unknown characters pass through unchanged. Perfect for accessibility tooling and education, labels and signage mockups, braille-display previews and learning resources. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. Grade 1 only (no contractions). Distinct from cipher/alphabet encoders and from general text transforms.

api.oanor.com/braille-api

Normalize and fold Unicode text. Convert any string to one of the four Unicode normalization forms — NFC, NFD, NFKC, NFKD — so that visually identical text with different code-point compositions (é as one code point vs e + a combining accent) compares and stores consistently. Fold diacritics and special letters to plain ASCII (café → cafe, Straße → Strasse, Ångström → Angstrom, Łódź → Lodz) for slugs, search keys and filenames; the fi ligature and similar compatibility characters are expanded under NFKC/NFKD. And compare two strings for equality after normalization, optionally case-insensitively. Perfect for deduplication, search and indexing, username and identifier checks, and defending against look-alike (homoglyph) input. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 4 endpoints. Distinct from Unicode character-database lookups and from text segmentation.

api.oanor.com/normalize-api

Render BBCode — the [b]…[/b] markup used by forums, bulletin boards, game communities and many comment systems — into clean HTML, or strip it down to plain text. Supports bold, italic, underline, strikethrough, lists, quotes, code blocks, links, images, colour and size. Dangerous URL schemes (javascript:, data:, vbscript:) in links and images are neutralised, so the HTML is safe to display. The to-text endpoint removes all markup for previews, search indexes, notifications and excerpts. Powered by the bbob parser. Pure local computation — no key, no third-party service, instant; send large posts via POST. Live, nothing stored. 3 endpoints. Distinct from Markdown rendering and HTML-to-Markdown conversion.

api.oanor.com/bbcode-api

Summarize text and pull out its keywords — no AI key, no external model. The summarize endpoint is extractive: it scores every sentence by word frequency and position and returns the most representative ones (ask for a fixed number of sentences or a fraction of the original), keeping the author's exact wording and order. The keywords endpoint ranks the most salient terms with their counts and a relative score, filtering out stopwords. Because it is deterministic and runs locally, the same text always gives the same result, instantly and privately. Perfect for article previews and TL;DRs, search snippets, tagging and content triage, and feeding shorter context to downstream tools. Pure local computation — no third-party service; send long text via POST. Live, nothing stored. 3 endpoints. Distinct from sentiment/NLP analysis, stopword lists and Unicode text segmentation.

api.oanor.com/summarize-api

Clean up and parse personal names. The case endpoint applies proper name-casing that ordinary title-casing gets wrong — McDonald, MacLeod, O'Brien, D'Angelo, hyphenated double-barrelled names, lower-case particles (van, von, de, la, der) and Roman-numeral suffixes (II, III, IV). The parse endpoint splits a full name into salutation, first, middle and last name and suffix, and also returns a properly-cased version of each part. Perfect for tidying user sign-ups, CRM and mailing lists, deduplicating contacts, formatting names on documents and normalising imported data. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. Parsing is tuned for Western (given-name-first) order. Distinct from baby-name popularity data and locale display-name lookups.

api.oanor.com/name-api

Reduzca palabras a su raíz lingüística (stem) con los algoritmos clásicos de stemming Snowball — running → run, fishing → fish, nationalization → nation — en 24 idiomas, incluyendo inglés, alemán, francés, español, italiano, portugués, neerlandés, ruso, árabe, finlandés, sueco y más. Realice el stemming de un texto completo (cada palabra, devolviendo tanto el mapeo palabra por palabra como el texto completamente procesado) o de una sola palabra. El stemming es el paso de normalización central detrás de los motores de búsqueda, la expansión de consultas, la indexación de texto, la coincidencia de palabras clave y el preprocesamiento de PNL. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 4 endpoints. Distinto del análisis de sentimiento/PNL y la coincidencia difusa de cadenas.

api.oanor.com/stemmer-api

Detect and censor profanity in user-generated text across 24 languages — for comment moderation, chat filtering, username and form validation, and trust-and-safety pipelines. Send any text and get back whether it contains profanity, the exact bad words found and which languages they belong to; or get the text back with every bad word masked (choose your own mask character). Matching is word-boundary aware (so "Scunthorpe" and "Penistone" are not flagged) and normalises common leetspeak (sh1t, @ss) before matching. Target a specific language (or several) or scan all 24 at once. Powered by the well-known LDNOOBW word lists, bundled in — so the service is fully self-contained: no third-party calls, no rate limits, always available. Live, no cache. 4 endpoints. No upstream key.

api.oanor.com/profanity-api

English word inflection as an API. Pluralize or singularize any word — correctly handling the irregulars that trip up naive code (person ↔ people, cactus ↔ cacti, goose ↔ geese, analysis ↔ analyses, and uncountables like sheep and series). Get count-aware inflection ("1 item" vs "3 items", optionally with the number included), and check whether a given word is already singular or plural. Everything is computed locally, so it is instant and always available. Ideal for ORMs and code generators, REST resource naming, UI labels and notifications ("3 result(s)"), search and autocomplete, and any app that turns counts into correct grammar. For case styles and URL slugs, use the Text API.

api.oanor.com/inflector-api

Genera texto de relleno Lorem Ipsum clásico como una API — exactamente lo que necesitas, en la forma que necesitas. Solicita un número de palabras, oraciones, párrafos (como texto plano o etiquetas HTML <p> listas para insertar), elementos de lista con viñetas, o una longitud exacta en bytes. El texto puede comenzar con el canónico "Lorem ipsum dolor sit amet, consectetur adipiscing elit…" o con latín aleatorio. Generado completamente en el servidor, por lo que es instantáneo y siempre está disponible — sin llamadas de terceros. Ideal para maquetas y composiciones de diseño, siembra de plantillas y CMS, prototipado de UI, accesorios de prueba y cargas de prueba, y en cualquier lugar donde un diseño necesite texto de relleno.

api.oanor.com/lorem-api

Turn text into ASCII-art banners as an API, with 300+ classic FIGlet fonts (Standard, Slant, Big, Ghost, Doom, 3D-ASCII, Banner and many more). Send a word or short phrase and a font and get back ready-to-paste ASCII art, with control over output width and the letter-spacing layout. Browse and search the full font catalogue. Rendering runs entirely on the engine — no third-party service, so it is fast and always available. Ideal for CLI tools and terminal output, README and changelog headers, build banners, chat and Discord bots, retro UIs and any place a plain string deserves a little flourish.

api.oanor.com/asciiart-api

Unicode 字符数据库 (UCD) 作为 API。将任意码点（0..10FFFF，包括中日韩统一表意文字和谚文范围）解析为其名称、通用类别、区块和文字——以及字面字符、HTML 实体（&#x1F600;）、CSS 转义和 UTF-8/UTF-16 字节序列。传递十六进制码点（例如 1F600 → 😀 咧嘴笑脸）或字面字符（?char=€）。按名称搜索 40,000 多个命名字符（例如“heart”、“arrow”），按类别或区块筛选，并浏览所有 346 个 Unicode 区块。适用于文本处理工具、表情符号选择器、编辑器、国际化和开发者实用程序。

api.oanor.com/unicode-api

Catch spelling mistakes in six languages — English, German, Spanish, French, Portuguese and Dutch — and get English style and grammar suggestions in one call. Spelling errors come with their position in the text and a ranked list of corrections; style suggestions flag repeated words, weasel words, passive voice, wordiness, clichés and more. A combined check returns spelling and style together (sorted by position), a spelling-only endpoint covers all six languages, a single-word endpoint returns corrections for one word, and a languages endpoint lists what is supported. Every endpoint takes text via the query string or the request body and returns lean JSON. Pure server-side computation (Hunspell dictionaries + write-good, no third-party upstream, no LLM cost), so responses are instant and always available. Ideal for editors and CMSs, form and comment validation, chat and email tools, and writing assistants.

api.oanor.com/grammar-api

Stopword lists and removal for 58 languages. Fetch the full stopword list for a language, see all supported languages with their word counts, check whether a single word is a stopword, or strip stopwords out of a block of text to get a clean keyword stream. Built on the open stopwords-iso dataset and served entirely in-memory, so responses are instant and the service is always available. Ideal for search indexing and relevance, NLP preprocessing and text mining, keyword extraction, tag generation and content tooling.

api.oanor.com/stopwords-api

Uma base de dados completa de emojis em uma API rápida. Pesquise aproximadamente 1.870 emojis por nome, palavra-chave, alias ou tag, consulte um único emoji pelo seu alias (como rocket ou :fire:) ou pelo próprio caractere do emoji, navegue por qualquer uma das nove categorias Unicode ou obtenha emojis aleatórios (opcionalmente de uma categoria). Cada emoji vem com seu nome, categoria, aliases, tags de pesquisa, pontos de código Unicode e a versão em que foi introduzido. Construído sobre o conjunto de dados aberto do GitHub gemoji e servido inteiramente em memória, para que as respostas sejam instantâneas e o serviço esteja sempre disponível. Ideal para aplicativos de chat e mensagens, seletores e pesquisa de emojis, ferramentas sociais e de conteúdo, jogos e widgets divertidos.

api.oanor.com/emoji-api

Ejecuta expresiones regulares del lado del servidor sin el riesgo de ReDoS. Prueba si un patrón coincide, extrae todas las coincidencias con sus posiciones y grupos de captura (numerados y nombrados), reemplaza con un patrón de sustitución o divide texto, todo con los conocidos indicadores de expresiones regulares de JavaScript (g, i, m, s, u, y). Cada evaluación se ejecuta en un entorno aislado con un tiempo de espera máximo estricto, por lo que un patrón de retroceso catastrófico nunca puede bloquear tu servicio; en su lugar, obtienes un claro error de tiempo de espera. Las entradas aceptan parámetros de consulta GET o un cuerpo JSON POST. Cómputo local puro sin terceros ascendentes, por lo que las respuestas son instantáneas y el servicio siempre está disponible. Ideal para plataformas sin código y de automatización, tuberías de limpieza de datos, validación de formularios y entradas, análisis de registros y herramientas de contenido.

api.oanor.com/regex-api

Compare two pieces of text and get a precise, structured diff. Choose line, word or character granularity for a full edit script (equal, inserted, deleted) with addition and deletion counts, get a compact inline word diff, or render a standard unified diff (patch) with configurable context lines and file labels — ready to feed into patch tooling or a code-review UI. Built on a Longest-Common-Subsequence algorithm for accurate, minimal diffs. Every endpoint works by GET or JSON POST and runs entirely server-side with no third-party upstream, so responses are instant and the service is always available. Ideal for code review and version tooling, CMS and document editors, change tracking, plagiarism highlighting and content audits.

api.oanor.com/textdiff-api

A fast, fully-local text-utilities toolkit: convert between 10 case styles (upper, lower, title, sentence, camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE, dot.case), generate URL-friendly slugs, compute text statistics (word, character, sentence, line and paragraph counts, average word length and reading time), and produce lorem-ipsum placeholder text by words, sentences or paragraphs. Pure server-side compute, no third-party upstream, so responses are instant and always available. Ideal for CMS, editors, developer tools, forms and content pipelines.

api.oanor.com/text-api

Fetch full song lyrics by artist and title, and search across millions of songs to find the right track. Returns the lyrics as text and as an array of lines, ready to display or process.

api.oanor.com/lyrics-api