{"uid":"cap_QCAl2mU9-CeB9D-PbWAbw","slug":"remove-accents-diacritic-normalizer-303195a8","name":"Remove Accents / Diacritic Normalizer","description":"Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.","url":"https://cocoeatsai.com/area4/agent/tools/remove-accents?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["type","method","queryParams"],"properties":{"type":{"const":"http"},"method":{"enum":["GET"]},"queryParams":{"type":"object","properties":{"text":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type","example"],"properties":{"type":{"const":"json"},"example":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}}}}}},"responseSchema":{"type":"json","example":{"nfc":"The cat sat on the mat. This is an English example.","text":"The cat sat on the mat. This is an English example.","ascii":"The cat sat on the mat. This is an English example."},"exampleNote":"Computed offline with demonstration inputs; time/random values are illustrative."},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ydMgzKUMGJj0ejoshk2XL","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Strips diacritical marks and accents from input text, returning normalized ASCII and NFC forms of the string.","exampleAgentPrompt":"Can you remove all the accents and diacritical marks from this text: 'Héllo, wörld! Bonjour à tôus les élèves.' and give me a plain ASCII version?","exampleUseCases":[{"title":"Normalize multilingual user names","prompt":"I have a list of user-submitted names like 'André Müller' and 'José García' that I need to store in a legacy system that only accepts plain ASCII — can you strip all the accent marks and special characters from them?"},{"title":"Sanitize search index terms","prompt":"Before indexing these French and Spanish article titles, can you remove all the accents and diacritics so our search engine can match them without encoding issues? Here's a title: 'Réflexions sur l'économie française'."},{"title":"Clean CSV data for ASCII-only pipeline","prompt":"I've got some text data in a CSV with lots of accented characters like ñ, ö, and ê that's breaking my downstream ASCII-only data pipeline — can you normalize this string 'Ångström análisis données' to plain letters?"}],"resultDescription":"A JSON object containing three representations of the input text: 'text' (the normalized form), 'nfc' (NFC unicode normalization), and 'ascii' (fully ASCII-safe version with all diacritical marks removed).","failureModes":["Missing 'text' query parameter returns an error or empty response","Extremely long strings may time out or be truncated","Non-string input types may cause unexpected behavior","Payment failure via x402 protocol returns 402 status before processing"],"whenToPreferThis":"Choose this endpoint when you need a simple, low-cost, pay-per-call accent/diacritic removal tool without setting up a local unicode normalization library. Ideal for agents processing small batches of multilingual text that need ASCII-safe output for legacy systems, search indexing, or identifier normalization.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:27.377Z","isFirstParty":false,"canonicalSlug":"remove-accents-diacritic-normalizer-303195a8"}