Whisper Tiny overview
Whisper Tiny specs
- Model ID
deepgram/whisper-tiny- Developer
- Deepgram
- Input
- Audio
- Output
- Text
- Endpoint
POST https://api.aimlapi.com/v1/stt/create
Whisper: Multilingual speech recognition model, robust, versatile, open-source.
Whisper Tiny API Pricing
- Pricing on request
Transcription
Convert calls, meetings, and media into accurate, searchable text.
Captioning and indexing
Generate subtitles and make audio archives searchable.
Use cases
Whisper Tiny is a speech-to-text model that takes audio as input and produces text output. It is used for audio transcription, including converting spoken content into written text.
It can be used for captioning and subtitles, where audio from videos, meetings, or live recordings is turned into readable text. It also fits voice-note or voicemail transcription workflows that need speech converted into text for later reading or search.
Because it is a speech-to-text model, it can support call-center or interview transcription pipelines that store spoken audio as text records. It can also be used to create text transcripts for archive, review, or accessibility purposes.
How to use the Whisper Tiny API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/stt/create' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "deepgram/whisper-tiny"
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "deepgram/whisper-tiny"
}
response = requests.post("https://api.aimlapi.com/v1/stt/create", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/stt/create", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "deepgram/whisper-tiny"
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());The request returns a generation id. Poll GET https://api.aimlapi.com/v1/stt/create?generation_id=<id> until the status is completed.
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Whisper Tiny FAQ
What inputs and outputs does Whisper Tiny support?
Whisper Tiny takes audio as input and returns text.
When was Whisper Tiny released?
Whisper Tiny became available on December 30, 2025.
How much does Whisper Tiny cost?
Whisper Tiny is priced at output $0.0000715 / sec.
Who created Whisper Tiny?
Whisper Tiny was built by Deepgram.
How do I call Whisper Tiny on AI/ML API?
Use deepgram/whisper-tiny as the model id on AI/ML API.
Is Whisper Tiny available through a single API key?
Yes. Whisper Tiny is served through AI/ML API, so the same key and endpoint format used for other models applies.
Is Whisper Tiny available as a model through Deepgram?
Yes, Whisper Tiny is offered by Deepgram under the model id deepgram/whisper-tiny for speech-to-text.
What languages does Whisper Tiny support?
Whisper Tiny is described as a multilingual speech recognition model, but no specific language list is provided.
Is Whisper Tiny open-source?
Yes, Deepgram describes Whisper Tiny as an open-source multilingual speech recognition model.
What is the Whisper Tiny model ID?
Use deepgram/whisper-tiny as the model parameter. Requests go to https://api.aimlapi.com/v1/stt/create with your AI/ML API key.