Kazakh Stemmer API - REST API for Kazakh morphological stemming — OI = 0.0000

Kazakh is agglutinative, causing standard search engines to miss results. QazAPI fixes this by reducing any Kazakh word to its dictionary root via a simple REST call. Every result is validated against 140,000+ lemmas. With a 0.0000 over-stemming index, it never returns non-existent roots. • 1 POST request returns stem + confidence • Works with Elasticsearch, pgvector, any stack • Free tier: 1K req/mo. Pro: $50/mo Built for developers fixing Kazakh search and NLP.

Hi Product Hunt! 👋 I built QazAPI because I was tired of seeing standard search engines fail at processing the Kazakh language. Kazakh is highly agglutinative—a single root word can take hundreds of forms through suffixes. Most existing solutions either require deploying heavy NLP models or compiling complex Rust/C++ plugins (which you can't even install if you use managed cloud databases). I wanted a solution that works everywhere without the DevOps headache. QazAPI is a simple REST API that handles the morphology and validates every single result against a 140,000+ word in-memory dictionary. The over-stemming index is exactly 0.0000—it never returns a broken or non-existent root. You can test it right now in our playground with a single POST request (no signup needed). I’d love for the developers here to test it out. Throw the most complex words you can find at it, try to break the algorithm, and let me know what you think of the API structure! I'll be here all day to answer your questions.

Kazakh Stemmer API - REST API for Kazakh morphological stemming — OI = 0.0000

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