Transcribe audio 83% cheaper than GPT-Transcribe

SIE is the open-source inference engine serving NVIDIA’s Parakeet speech model. The model turns recordings of calls and meetings into searchable text.

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Parakeet TDT 0.6B v3 on SIE

Figures kept

Roughly 60% of the CFM fleet is parked today. In line with this, we're also seeing significant headwinds …

Transcripts change what people said

OpenAI GPT-Transcribe · English, temperature 0

Same error in both runs

A figure
Earnings call · 13 s

Said

The 64 million growth of other …

Returned

The 60 million złoty growth of other …
A country
Earnings call · 7 s

Said

In Sweden Consumer, we expect the momentum …

Returned

As we in consumer, we expect the momentum …
A retailer
Design meeting · 8 s

Said

… chain companies like Carphone Warehouse

Returned

… Chain companies like Carrefour and Warehouse.
A currency
Design meeting · 4 s

Said

And so we've got we've still got four euros to go to spend.

Returned

And so we've got, we've still got four URLs to go to spend.

deepgram / Discussions Nova-3 report: agreement became refusal
Transcription Errors When Using Nova-3 #1500
Answered afurkankjf opened on 17 December 2025

Reported speech

Okay. I would like that.

Returned transcript

Okay, I won't let you do it.

Reply by Jacob-Lasky 18 December 2025
Deepgram posted the returned transcript and recommended checking uncertain words with the speaker.
arXiv:2512.04118 UC Berkeley and UCSF Clinicians reported wrong drug names, doses or instructions in Abridge notes
Patient Safety Risks from AI Scribes: Signals from End-User Feedback

Dai, Huang, Nasrallah and seven others

“incorrectly recorded medication names, dosages, and instructions (18.5% of safety-related feedback)”
1 December 2025

83% cheaper than GPT-Transcribe

Run this eval

Content-word error rate

39.26 hours of calls ↓

GPT-Transcribe

GPT-Transcribe 7.8%

GPT-4o Mini Transcribe

GPT-4o Mini Transcribe 8.8%

Parakeet TDT 0.6B v3

Parakeet TDT 0.6B v3 8.9%

Cost per 1,000 audio hours

USD ↓

Parakeet TDT 0.6B v3

$45 Parakeet TDT 0.6B v3

GPT-4o Mini Transcribe

$99 GPT-4o Mini Transcribe

GPT-Transcribe

GPT-Transcribe $270

Evaluation

Tested: 44 Earnings-21 calls, 219 twelve-minute pieces, 39.26 hours
Scored: Wrong, missing or extra content words; common function words excluded
Prices: Serverless and OpenAI list prices; Mini uses recorded tokens

Send a recording, get its transcript

View on GitHub

from pathlib import Path
from sie_sdk import SIEClient
client = SIEClient(api_key="API keysk-sie-…")
audio = {"data": Path(fileWAVami-es2004b-carphone-warehouse.wavbrowse).read_bytes(), "format": "wav"}
result = client.extract(
    "modelnvidia/parakeet-tdt-0.6b-v3",
    {"audio": audio},
)
print(result["data"])

audio_bytes=$(base64 < 'ami-es2004b-carphone-warehouse.wav' | tr -d '\n')
curl https://api.superlinked.com/v1/extract/nvidia%2Fparakeet-tdt-0.6b-v3 \
  -H "Authorization: Bearer sk-sie-…" \
  -H "Content-Type: application/json" \
  -d "{\"items\":[{\"audio\":{\"data\":\"$audio_bytes\",\"format\":\"wav\"}}]}"

Build the "Speech to text" capability into my app using the Superlinked Inference Engine (SIE).

Context
- SIE is an OpenAI-style inference API. Python SDK: `from sie_sdk import SIEClient`; TypeScript: `@superlinked/sie-sdk`.
- Base URL: https://api.superlinked.com (or my regional endpoint). Auth: Bearer key from env `SIE_API_KEY` (never hard-code it).
- Model: nvidia/parakeet-tdt-0.6b-v3 (SIE primitive: /extract). Keep the model id configurable.

Task
- Input: an uploaded audio recording.
- Behaviour: return a verbatim transcript of the uploaded audio
- Send one POST /v1/extract request (SDK: extract) with one item {audio: {data, format}}: the original audio bytes (base64 in a JSON request) and the file extension as format. Send no params. Do not add an instruction: Parakeet takes none and rejects a prompt. Read the transcript from the returned item's data.text.

Deliverables
- A typed client wrapper, an application-level function for this task, error handling for timeouts/empty input, and unit tests with a stubbed client.
- Wire it into my existing stack (ask me which framework if unclear) and add a short usage example.

Run

Output

data.text

That's kind of what led us on to comparing TV remote controls with their design features. Chain companies like Carphone Warehouse.

data.duration_ms: 8340

Transcribe on Serverless or in your own cloud

Serverless API

We host the models; you call one API.

No idle GPUs, pay for what you use
Fits your stack: SDK, API, CLI, MCP
Self-host the same open-source engine
SOC 2 Type 2, US or EU data residency
Create an account to try Serverless

Get started

Self-hosted (Kubernetes)

Your data stays in your cloud, backed by our engineers.

Terraform modules for your cloud
Apache-2.0, same engine as Serverless
GPU workers scale to zero between jobs
Separate worker pools for each tenant

Agent prompt Deploy SIE to our AWS account with the superlinked/sie/aws Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Google Cloud project with the superlinked/sie/google Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Azure subscription with the superlinked/sie/azure Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Alibaba Cloud account with the superlinked/sie/alicloud Terraform module. Docs: superlinked.com/docs/deployment.

Talk to us Deploy guide

Run locally

The open-source server on your own machine.

NVIDIA GPU
One container, no cluster
Process your data fully offline
Same SDK and model IDs as Serverless

docker run --gpus all -p 8080:8080 ghcr.io/superlinked/sie-server:latest-cuda12-transformers5

Quickstart

Switch to SIE in 5 minutes

from openai import OpenAI

client = OpenAI()
result = client.audio.transcriptions.create(
    model="gpt-transcribe",
    file=open("call.wav", "rb"),
)
print(result.text)

SIE

from pathlib import Path
from sie_sdk import SIEClient

client = SIEClient(api_key="sk-sie-…")
result = client.extract(
    "nvidia/parakeet-tdt-0.6b-v3",
    {"audio": {"data": Path("call.wav").read_bytes(), "format": "wav"}},
)
print(result["data"])

Transcripts change what people said

A figure

A country

A retailer

A currency

83% cheaper than GPT-Transcribe

Send a recording, get its transcript

Transcribe on Serverless or in your own cloud

Switch to SIE in 5 minutes