> ## Documentation Index > Fetch the complete documentation index at: https://docs.zerogpu.ai/llms.txt > Use this file to discover all available pages before exploring further. # gliner-multi-pii-v1 > Model details for gliner-multi-pii-v1. > 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 docs](https://github.com/fastino-ai/GLiNER2/blob/main/README.md) • [Terms](https://github.com/fastino-ai/GLiNER2/blob/main/LICENSE) • [Privacy](https://github.com/fastino-ai/GLiNER2/blob/main/LICENSE) ## OpenAPI ````yaml api-reference/openapi/playgrounds/gliner-multi-pii-v1.openapi.json POST /responses openapi: 3.1.0 info: title: gliner-multi-pii-v1 playground version: '1.0' description: >- Interactive playground for **gliner-multi-pii-v1**. Model is always `gliner-multi-pii-v1` on this page (shown in the form, not editable). Use the **request example** selector to switch use cases (JSON, NER, PII, etc.). Authentication: `x-api-key` (required) and `x-project-id` (optional). servers: - url: https://api.zerogpu.ai/v1 description: Production security: - ApiKey: [] paths: /responses: post: tags: - gliner-multi-pii-v1 summary: 'gliner-multi-pii-v1: Responses' operationId: createResponse_gliner-multi-pii-v1 parameters: - name: x-project-id in: header required: false schema: type: string description: >- Optional project identifier. Scopes the request to a specific project when provided. requestBody: required: true content: application/json: schema: allOf: - $ref: '#/components/schemas/CreateResponseRequest' - type: object properties: model: type: string const: gliner-multi-pii-v1 default: gliner-multi-pii-v1 example: gliner-multi-pii-v1 description: >- Model identifier (fixed for this playground). Use request examples to change use cases. examples: redact: summary: PII Redaction value: input: >- Hello Jane Doe, this is John Doe reaching out regarding my recent order. If you need any additional details, feel free to call me at 415-555-0134 during business hours. You can also email me at hi@example.com, and I’ll respond as soon as possible. Looking forward to your update on the issue. model: gliner-multi-pii-v1 metadata: mask: label usecase: redact extract-pii: summary: PII Extraction value: input: Contact John Doe at john@example.com or +1-415-555-0134. model: gliner-multi-pii-v1 metadata: usecase: extract-pii threshold: 0.5 categories: - identity - contact responses: '200': description: Success content: application/json: schema: $ref: '#/components/schemas/Response' examples: redact: summary: PII Redaction value: redacted_text: >- Hello [PERSON], this is [PERSON] reaching out regarding my recent order. If you need any additional details, feel free to call me at [PHONE_NUMBER] during business hours. You can also email me at [EMAIL], and I will respond as soon as possible. entities: - text: Jane Doe label: person start: 6 end: 14 score: 0.9982 - text: John Doe label: person start: 24 end: 32 score: 0.9981 - text: 415-555-0134 label: phone number start: 133 end: 145 score: 0.9725 - text: hi@example.com label: email start: 194 end: 208 score: 0.9812 entities_by_label: person: - Jane Doe - John Doe phone number: - 415-555-0134 email: - hi@example.com extract-pii: summary: PII Extraction value: entities: - text: John Doe label: person start: 8 end: 16 score: 0.9989 - text: john@example.com label: email start: 20 end: 36 score: 0.9776 - text: +1-415-555-0134 label: phone number start: 40 end: 55 score: 0.9714 entities_by_label: person: - John Doe email: - john@example.com phone number: - +1-415-555-0134 '400': description: Bad request '401': description: Unauthorized '403': description: Forbidden '420': description: Insufficient quota content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '500': description: Internal server error components: schemas: CreateResponseRequest: type: object required: - model - input properties: model: type: string const: gliner-multi-pii-v1 default: gliner-multi-pii-v1 example: gliner-multi-pii-v1 description: >- Model identifier (fixed for this playground). Use request examples to change use cases. input: type: string minLength: 1 format: textarea maxLength: 131072 description: Multi-line text or document content to send to the model. metadata: type: object description: >- 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]`). additionalProperties: true properties: usecase: type: string enum: - extract-pii - redact default: extract-pii description: >- Which operation to run. `extract-pii` returns only the detected entities; `redact` also returns a masked `redacted_text`. mask: type: string enum: - label description: >- Redaction style, used when `usecase` is `redact`. `label` replaces each entity with a typed placeholder such as `[PERSON]` or `[EMAIL]`. threshold: type: number minimum: 0 maximum: 1 default: 0.5 description: >- Minimum confidence score (0–1) an entity must reach to be returned. Lower values surface more, lower-confidence matches. categories: type: array items: type: string example: - identity - contact description: >- Restrict detection to specific PII category groups (e.g. `identity`, `contact`). Omit to detect all supported categories. Response: type: object additionalProperties: true ErrorResponse: type: object additionalProperties: true securitySchemes: ApiKey: type: apiKey in: header name: x-api-key ````