Name: Whisper Small API
Brand: Deepgram

Overview

What is Whisper Small API?

Whisper: Multilingual speech recognition model, robust, versatile, open-source.

Technical Specifications
- Supported inputs: Audio
- Output: Text

Performance Benchmarks
[embed]

Whisper Small API Pricing
- Pricing on request

Where to Use Whisper Small

Transcription
Convert calls, meetings, and media into accurate, searchable text.

Captioning and indexing
Generate subtitles and make audio archives searchable.

Use cases

Transcription of prerecorded audio is explicitly supported for Deepgram Whisper Cloud, including whisper-small, with access through Deepgram’s Hosted API or on-prem deployments.

Language detection is documented among the supported transcription features for Deepgram Whisper Cloud models, including whisper-small.

Diarization is documented as a supported transcription feature for Deepgram Whisper Cloud models, including whisper-small.

Summarization is also listed among the supported transcription features for Deepgram Whisper Cloud models, including whisper-small.

How to use Whisper Small API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to deepgram/whisper-small.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v1/stt/create",
    headers=headers,
    json={
      "model": "deepgram/whisper-small",
      "url": "https://example.com/audio.mp3"
    },
).json()
gid = job["generation_id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v1/stt/{gid}", headers=headers).json()
    if res.get("status") in ("completed", "error", "failed"):
        break
    time.sleep(3)
print(res)

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v1/stt/create", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "deepgram/whisper-small",
    "url": "https://example.com/audio.mp3"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 3000));
  res = await (await fetch(`https://api.aimlapi.com/v1/stt/${job.generation_id}`, { headers })).json();
} while (!["completed", "error", "failed"].includes(res.status));
console.log(res);

# submit the job — the response contains "generation_id"
curl -X POST https://api.aimlapi.com/v1/stt/create \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepgram/whisper-small","url":"https://example.com/audio.mp3"}'

# then poll for the result until it is ready
curl "https://api.aimlapi.com/v1/stt/{generation_id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.