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GLiNER Multi PII is a multilingual PII detection and redaction model that supports on-prem deployments as well. It identifies 40+ personally identifiable entity types — identity, contact, government IDs, financial, medical and more. It works natively across six languages: English, French, German, Spanish, Italian, and Portuguese, so a single model covers multi-market and cross-border data without separate per-language pipelines. Built for zero-shot label, it accepts custom label sets at inference time and supports curated PII catalogues, redaction with label or character masks, and generic NER with user-supplied labels.
References: Model docsTermsPrivacy

Authorizations

x-api-key
string
header
required

Headers

x-project-id
string

Optional project identifier. Scopes the request to a specific project when provided.

Body

application/json
model
string
default:gliner-multi-pii-v1
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "gliner-multi-pii-v1"
Example:

"gliner-multi-pii-v1"

input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072
metadata
object

Use-case options for the model. Two use cases are supported:

  • extract-pii — return detected PII entities without altering the source text.
  • redact — mask detected PII in-line in the returned redacted_text (e.g. [PERSON], [EMAIL]).

Response

Success

The response is of type object.