What are the best Text Analysis APIs? (2026)

Detect sentiment, toxicity, and emotional aspects in text with AI moderation

The Text Translation API translates text into any of the 80 supported languages, providing accurate and context-aware translations

Alibaba's NLP suite — Chinese text analysis, sentiment, entity recognition, industry-specific models

This API lets you extract high-frequency keywords, key phrases and latent semantic keywords from any URL

Language Detection JSON API supporting 173 languages

A collection of information retrieval and natural language APIs

Baidu's NLP API — sentiment analysis, entity recognition, text classification, keyword extraction. Chinese-optimized

Natural language processing and text analysis

Detect, label, format and enrich the code in your app or in your data pipeline

This API converts any text to speech automatically

Detects text language

This API detects the language from any text (+ 50 languages supported)

Natural Language Processing Tools for Thai Language

The Fuzzy Text Search API finds close matches for user queries, handling typos and partial inputs to deliver relevant results quickly and accurately

Natural language understanding technology, including sentiment, entity and syntax analysis

Image to text -text recognition- from image more than 100 language, accurate, unlimited requests

Translate between 21 of most used languages, accurate, unlimited requests

Style and Grammar Checker for 25+ Languages

Translation API with free tier and reasonable prices

Translation tool with 17 available languages

The Proofreading and Grammar Check API ensures the provided text is grammatically correct and polished by automatically proofreading and checking for errors

Clean short and long texts. It is probably world most complete text-cleaner API! Providing very fast and accurate results.

Text Analytics with sentiment analysis, categorization & named entity extraction

Multilingual sentiment analysis of texts from different sources

Tencent Cloud NLP — Chinese word segmentation, POS tagging, NER, sentiment, text summarization

Text Analytics with focus on detection of abusive content and law enforcement applications

Natural language processing for advanced text analysis