Multilingual extraction
Detect entities across multiple languages with consistent accuracy and no per-language re-integration.
Detect people, organisations, brands and locations across multilingual text.
Talk to us about accessThe NER API automatically detects and classifies named entities - people, organisations, brands, locations, products - across unstructured text, turning raw content into structured intelligence you can query, route and analyse.
Powered by an award-winning human-in-the-loop pipeline that combines deep-learning models with expert annotation, the API delivers high precision across long and short form content - in multiple languages.
Common use cases:
Built and maintained by the Identrics applied AI team. Trained on human-in-the-loop data, benchmarked continuously, and shipped to you as a single, well-documented API.
Detect entities across multiple languages with consistent accuracy and no per-language re-integration.
Train the API on your domain - product SKUs, internal org names, legal references - alongside standard entity classes.
Resolve mentions to canonical entities so 'Apple' the company is never confused with 'apple' the fruit.
Process millions of documents per day with predictable latency and consistent quality.
Models trained and benchmarked across multiple languages out of the box. Additional languages on request.
Named Entity Recognition remains available as a standalone Kaspian API. The same capability also supports a focused workflow inside the Identrics product ecosystem.
Annex uses entity recognition to identify the people, organisations, brands and locations inside narrative clusters, connecting content to the actors shaping it.
Explore AnnexPOST raw documents, articles or short-form text to the API - one item or a batch.
Our human-in-the-loop trained models identify and classify every entity in the payload.
Get back a clean, typed list of entities with offsets, types and optional canonical IDs.
Track mentions of your brand, leadership and competitors across coverage and reviews, and see which actors are shaping narratives that affect your reputation.
Tag every article with people, organisations and places automatically. Power related-content recommendations, entity pages and knowledge-graph driven search.
Map the actors, outlets and organisations behind public narratives so institutions can understand and respond to information disorder with evidence.
Every Kaspian enrichment ships as its own API, and they all share a common contract - so you can call NER on its own today, or chain it with any of the others tomorrow to build a richer pipeline. No extra integration work.
Quantify how audiences feel about brands, products and topics - at scale.
Explore APISort documents into your taxonomy with high-accuracy multilingual classifiers.
Explore APISurface emerging topics from unstructured text without predefined labels.
Explore APIMeasure attention and engagement around the topics that matter to you.
Explore APITrack every mention of your brand and competitors with contextual precision.
Explore APICompress long-form text into fact-checked, readable abstractive summaries.
Explore APIFind near-duplicates, semantic similarity and topical clusters across archives.
Explore API