text-analysis APIs

Code Detection API automatically identifies programming languages and detects code blocks within plain text or mixed content.

apilayer languagelayer is a language detection API that identifies the language of any text across 173 supported languages.

Aylien Text Analysis provides programmatic access to a collection of information retrieval and natural language apis via REST API.

Cloudmersive NLP API provides a broad set of text analysis tools including sentiment analysis, entity extraction, language detection, and profanity filtering.

Detect Language API accurately identifies the language of any text, supporting over 164 languages and returning ISO language codes.

ELI is a Natural Language Processing API specifically designed for the Thai language, offering tools like word segmentation, part-of-speech tagging, and named entity recognition.

Google Cloud Natural Language API provides powerful NLP features including sentiment analysis, entity recognition, content classification, and syntax analysis, all backed by Google's machine learning models.

Hirak OCR converts images containing text into machine-readable strings, supporting over 100 languages with high accuracy.

Hirak Translation API provides text translation between 21 widely-used languages with high accuracy and no request limits.

Lecto Translation API offers text translation with a free tier and competitive pricing, accessible through RapidAPI.

LibreTranslate is a free, open-source machine translation API that supports 17 languages.

Semantria is a powerful text analytics API by Lexalytics that provides sentiment analysis, entity extraction, and content categorization.

Sentiment Analysis provides programmatic access to multilingual sentiment analysis of texts from different sources via REST API.

Tisane is a text analytics API specialized in detecting abusive content, hate speech, and cybercrime in user-generated text.

IBM Watson Natural Language Understanding (NLU) is a powerful AI-driven API that extracts semantic meaning from text, including sentiment, entities, keywords, categories, and emotion.