Improve every text interaction with a single API suite.
Spell checking, content moderation, language analysis, and text utilities that power better user experiences.
Use cases
POST /v1/validation/profanity
Moderate submissions before they go public
Moderate user text automatically. Keep communities healthy without scaling headcount linearly.
Example
Forum posts run through a profanity API on submit. Blocked posts return an inline reason; moderators only review the flagged queue instead of every thread.
POST /v1/text/spellcheck
Catch typos at publish time in docs and CMS
Fix typos before publishing. Reduce brand risk in emails, docs, and in-app copy.
Example
Help-center โPublishโ runs spellcheck on Markdown. Editors see suggested fixes in the sidebar before the article goes public and is indexed.
POST /v1/text/similarity
Dedupe macros and near-duplicate knowledge
Match similar content with text similarity. Improve recommendations and deduplication.
Example
Support ingests new macros and scores them against existing ones. Duplicates above 0.9 cosine merge automatically so agents stop picking near-identical snippets.
POST /v1/text/detect-language
Route pasted content to the right locale pipeline
Identify language automatically for localization. Route users to the right experience faster.
Example
A docs site detects language from the first pasted paragraph. Non-English source routes to the translation vendor queue with locale metadata attached.
GET /v1/text/thesaurus/{word}
Stronger headlines and copy without tab-switching
Find stronger synonyms instantly. Help marketing and product ship sharper copy.
Example
Landing-page builder offers three headline variants: each word flagged as weak gets synonym suggestions from the thesaurus API before A/B allocation.
GET /v1/text/dictionary/{word}
One canonical definition in help center and chat
Validate terms and definitions for support content. Reduce confusion in help centers.
Example
Glossary tooltips resolve legal terms to dictionary entries on hover. CSR chats link the same definition so customers and agents share one canonical wording.
Reliability at a glance
APIS you can trust.
99.99%
Platform uptime target
~500ms
Average API response time
Millions
Text operations per day (platform scale)
How it works
Three short steps from picking a pattern to measuring impact in your own metrics.
Pick a pattern that sounds familiar
Choose a card that mirrors where language hurts quality or trust (moderation, spelling, detection, or synonyms). Each outcome maps to endpoints you can layer into editors or queues.
Wire it into your stack
Use the reference examples, add your API key, and call the HTTPS endpoints from your backend or edge. Most teams ship the first version the same week they read the docs.
Prove it with your own metrics
Compare before and after in dashboards you already trust: fewer failures, shorter queues, calmer support, or faster pages once bad inputs stop propagating.
Wire endpoints for this division
Use the cards above for scenarios; request shapes, parameters, examples, and errors are in the technical directory for this category.
Industries we serve
Turn text into better experiences today.
Integrate in minutes. Improve every interaction with one API suite.