ElevenLabs STT
ElevenLabs STT costs $0.021/req on FairStack — a speech to text model for Long-form transcription, When per-minute pricing is cheaper, Audio content processing. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is ElevenLabs STT?
ElevenLabs STT is a speech-to-text model from ElevenLabs that provides accurate transcription with per-minute pricing. This pricing model makes it more cost-effective than per-request alternatives when processing longer audio content such as podcast episodes, meeting recordings, and lecture transcriptions. The model delivers good transcription accuracy rated at 0.90 across multiple languages, benefiting from ElevenLabs' expertise in voice AI technology. It integrates naturally with the broader ElevenLabs ecosystem, making it convenient for workflows that already use ElevenLabs for text-to-speech or voice cloning. Compared to OpenAI's Whisper V3 which holds the industry-standard position with slightly higher accuracy at 0.92, ElevenLabs STT trades a small accuracy margin for more favorable pricing on long-form content. The per-minute billing structure means that a 60-minute podcast transcription costs predictably, while per-request models may charge the same regardless of audio length. Best suited for long-form audio transcription, podcast episode processing, meeting and lecture recordings, and workflows where per-minute pricing provides better economics than flat-rate per-request billing. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are ElevenLabs STT's strengths?
What are ElevenLabs STT's limitations?
What is ElevenLabs STT best for?
How much does ElevenLabs STT cost?
How does ElevenLabs STT perform across capabilities?
How do I use the ElevenLabs STT API?
curl -X POST https://api.fairstack.ai/v1/generations/voice \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "elevenlabs-stt",
"prompt": "Your prompt here"
}'import requests
response = requests.post(
"https://api.fairstack.ai/v1/generations/voice",
headers={
"Authorization": f"Bearer {FAIRSTACK_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": "elevenlabs-stt",
"prompt": "Your prompt here",
},
)
result = response.json()
print(result["url"])const response = await fetch(
"https://api.fairstack.ai/v1/generations/voice",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.FAIRSTACK_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "elevenlabs-stt",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);Frequently Asked Questions
How much does ElevenLabs STT cost?
ElevenLabs STT costs $0.021/req on FairStack as of 2026-05-13. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is ElevenLabs STT and what is it best for?
ElevenLabs STT is a speech-to-text model from ElevenLabs that provides accurate transcription with per-minute pricing. This pricing model makes it more cost-effective than per-request alternatives when processing longer audio content such as podcast episodes, meeting recordings, and lecture transcriptions. The model delivers good transcription accuracy rated at 0.90 across multiple languages, benefiting from ElevenLabs' expertise in voice AI technology. It integrates naturally with the broader ElevenLabs ecosystem, making it convenient for workflows that already use ElevenLabs for text-to-speech or voice cloning. Compared to OpenAI's Whisper V3 which holds the industry-standard position with slightly higher accuracy at 0.92, ElevenLabs STT trades a small accuracy margin for more favorable pricing on long-form content. The per-minute billing structure means that a 60-minute podcast transcription costs predictably, while per-request models may charge the same regardless of audio length. Best suited for long-form audio transcription, podcast episode processing, meeting and lecture recordings, and workflows where per-minute pricing provides better economics than flat-rate per-request billing. Available on FairStack at infrastructure cost plus a 20% platform fee. ElevenLabs STT is best for Long-form transcription, When per-minute pricing is cheaper, Audio content processing. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does ElevenLabs STT have an API?
Yes. ElevenLabs STT is available via FairStack's REST API at api.fairstack.ai. Send a POST request to /v1/generations/voice with your API key and prompt. Works with curl, Python requests, Node.js fetch, and any HTTP client. No SDK installation required.
How does ElevenLabs STT compare to other voice models?
ElevenLabs STT excels at Long-form transcription, When per-minute pricing is cheaper, Audio content processing. It is a speech to text model priced at $0.021/req on FairStack. Key strengths: Per-minute pricing (better for long audio), Good accuracy. Compare all voice models at fairstack.ai/models.
What makes ElevenLabs STT stand out from other image generators?
ElevenLabs STT stands out with per-minute pricing (better for long audio) and good accuracy. Generation typically completes in 5-15 seconds.
What are the known limitations of ElevenLabs STT?
Key limitations include: slightly less accurate than whisper; routing adds some latency. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is ElevenLabs STT?
ElevenLabs STT typically completes in 5-15 seconds. This provides a good balance between output quality and processing speed for most production workflows.
What features does ElevenLabs STT support?
ElevenLabs STT offers: per-minute pricing; good accuracy (0.90); multiple language support; elevenlabs quality ecosystem. All capabilities are accessible through both the FairStack web interface and REST API.
See how ElevenLabs STT compares
Side-by-side pricing comparisons with competitors