Whisper Large v3

Private TEE

openai/whisper-large-v3

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation.

Input / 1M tokens: $0.01
Output / 1M tokens: $0.01
Cache read / 1M tokens: —
Context window: 0K tokens

Privacy & execution

This model supports private inference inside a hardware-isolated Trusted Execution Environment (TEE), protecting data while it is processed. HTTPS protects data in transit; client-to-model end-to-end encryption depends on the model and integration.

Attestation provides cryptographic evidence of the execution environment’s identity and configuration. Where response signatures are available, you can also verify the integrity of the request and response.

Verification documentation

Make your first request

Call /v1/audio/transcriptions over HTTPS.

Get an API key and replace the API key placeholder below.

curl --fail-with-body "https://cloud-api.near.ai/v1/audio/transcriptions" \
  -H "Authorization: Bearer <YOUR-NEAR-AI-CLOUD-API-KEY>" \
  -F 'model=openai/whisper-large-v3' \
  -F 'file=@audio.wav'

Use the API

Use the dedicated endpoint for this model’s modality.

Example

import { readFile } from "node:fs/promises";

const form = new FormData();
form.append("model", "openai/whisper-large-v3");
form.append("file", new Blob([await readFile("audio.wav")]), "audio.wav");
const response = await fetch("https://cloud-api.near.ai/v1/audio/transcriptions", {
  method: "POST",
  headers: { Authorization: "Bearer <YOUR-NEAR-AI-CLOUD-API-KEY>" },
  body: form,
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());