Embeddings, Images, Audio & More

NEAR AI Cloud is not limited to chat completions. The NEAR AI Cloud Gateway (cloud-api.near.ai) serves specialized TEE-hosted models for embeddings, reranking, scoring, image generation, audio transcription, and privacy classification. Gateway responses include an X-Request-Id response header. Support may ask you for that opaque value when debugging a request. It is support/debugging metadata, not W3C traceparent or distributed trace context. If you send your own X-Request-Id, use a non-sensitive UUID value; X-Request-Id values must not contain secrets or PII. X-Org-Id and X-Workspace-Id are internal tenant headers; public clients cannot set or override them.

Embeddings

Generate vector embeddings with Qwen/Qwen3-Embedding-0.6B:

curl https://cloud-api.near.ai/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "Qwen/Qwen3-Embedding-0.6B",
    "input": "NEAR AI Cloud runs models inside TEEs."
  }'

The response follows the OpenAI embeddings format (data[0].embedding is the vector). input also accepts an array of strings for batch embedding.

Reranking

Score documents against a query with Qwen/Qwen3-Reranker-0.6B:

curl https://cloud-api.near.ai/v1/rerank \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "Qwen/Qwen3-Reranker-0.6B",
    "query": "what is the capital of France",
    "documents": [
      "Paris is the capital of France",
      "Berlin is in Germany"
    ]
  }'

{
  "id": "rerank-b9390698eab7e1c3",
  "model": "Qwen/Qwen3-Reranker-0.6B",
  "results": [
    { "index": 0, "relevance_score": 0.914, "document": { "text": "Paris is the capital of France" } },
    { "index": 1, "relevance_score": 0.828, "document": { "text": "Berlin is in Germany" } }
  ]
}

Results are ordered by relevance_score; index refers to the position in your input documents array.

Image Generation

Generate images with black-forest-labs/FLUX.2-klein-4B (billed per image — see the Models page):

curl https://cloud-api.near.ai/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "black-forest-labs/FLUX.2-klein-4B",
    "prompt": "a red circle on a white background",
    "n": 1
  }'

The response returns the generated image as base64 in data[0].b64_json. An /v1/images/edits endpoint is also available for image-to-image editing.

Audio Transcription

Transcribe audio with openai/whisper-large-v3 (multipart form upload, OpenAI-compatible):

curl https://cloud-api.near.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F file=@recording.wav \
  -F model=openai/whisper-large-v3

{ "text": "Hello, this is a test recording.", "id": "trans-9a1799eb395047e7ad4aef8b" }

PII Detection & Redaction

The openai/privacy-filter model detects personally identifiable information (names, emails, phone numbers, …) in text. It is not a chat model — it exposes dedicated privacy endpoints: Classify returns labeled character spans with confidence scores:

curl https://cloud-api.near.ai/v1/privacy/classify \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "openai/privacy-filter",
    "input": "My name is John Smith and my email is john@example.com"
  }'

{
  "id": "pt-9d83003f2d164dde9edcc0f7",
  "model": "openai/privacy-filter",
  "data": [{
    "index": 0,
    "spans": [
      { "category": "private_person", "start": 10, "end": 21, "text": " John Smith", "score": 0.999 },
      { "category": "private_email", "start": 37, "end": 54, "text": " john@example.com", "score": 0.999 }
    ]
  }]
}

Redact (gateway only) returns the text with PII replaced:

curl https://cloud-api.near.ai/v1/privacy/redact \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "openai/privacy-filter",
    "input": "My name is John Smith and my email is john@example.com"
  }'

input accepts a string or an array of strings for both endpoints. /v1/privacy/redact is gateway-only and is served at https://cloud-api.near.ai/v1.

Vision (Image Input)

Qwen/Qwen3-VL-30B-A3B-Instruct accepts images in standard OpenAI chat format (image_url content parts) on /v1/chat/completions. Check input_modalities in /v1/models to see which models accept images.

Get Started

Models

Private Inference

Guides

Experimental

Embeddings, Images, Audio & More

Embeddings

Reranking

Image Generation

Audio Transcription

PII Detection & Redaction

Vision (Image Input)

​Embeddings

​Reranking

​Image Generation

​Audio Transcription

​PII Detection & Redaction

​Vision (Image Input)

Embeddings

Reranking

Image Generation

Audio Transcription

PII Detection & Redaction

Vision (Image Input)