Predict Ner

Run NER on a single Sanskrit text (IAST or Devanagari). Returns entities with type, confidence score, and word-level positions. Entity types: DEITY, PERSON, RISHI, PLACE, TEXT, CONCEPT, CELESTIAL, FLORA, LINEAGE, MANTRA.

POST /kadambini/v1/ner

Run NER on a single Sanskrit text (IAST or Devanagari).

Returns entities with type, confidence score, and word-level positions.

Entity types: DEITY, PERSON, RISHI, PLACE, TEXT, CONCEPT, CELESTIAL, FLORA, LINEAGE, MANTRA.

Parameters

No query parameters.

Request Body

NerRequest

Field	Type	Required	Description
`text`	`string`	Yes	Text
`threshold`	`number`	No	Threshold

Response

Field	Type	Description
`entities`	`NerEntity[]`	Entities
`text`	`string`	Text
`model`	`string`	Model

Examples

curl

curl -X POST "https://api.vibz.art/kadambini/v1/ner" \
  -H "X-API-Key: vz_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "अर्जुन उवाच"}'

Python

from vibzart import Vibzart

client = Vibzart(api_key="vz_live_...")
result = client.kadambini.ner(text="अर्जुन उवाच")
print(result.data)

TypeScript

import { Vibzart } from "@vibzart/sdk";

const client = new Vibzart({ apiKey: "vz_live_..." });
const result = await client.kadambini.ner({ text: "अर्जुन उवाच" });
console.log(result.data);