Azure Speech = Microsoft Tax + Azure Tax
Azure charges $1.00/hr for standard STT ($0.30/hr batch if you can tolerate delayed results), and every integration needs a region-locked key tied to an Azure subscription. SpeakEasy is $0.20/hr, one API key, zero Azure portal time.
Feature-by-feature comparison
Enterprise pricing and enterprise onboarding friction, or a single API key.
| Feature | SpeakEasy | Azure Speech |
|---|---|---|
| STT Price per Hour | $0.20 | $1.00 (standard) / $0.30 (batch) |
| Neural TTS (per 1M chars) | $2.50 | $16.00 |
| HD Voice TTS (per 1M chars) | N/A (uses standard neural) | $30.00 |
| Monthly Plan | $10/mo (50 hrs included) | Pay-as-you-go |
| Free Tier | $1 first month | 5 hrs/month free (F0 tier) |
| Languages | 99+ | 100+ |
| Speaker Diarization | Included | Yes (extra config) |
| OpenAI SDK Compatible | Yes | No (Azure SDK) |
| Setup required | API key only | Azure subscription + resource + region |
| Region lock-in | None | Keys tied to regions |
| Streaming | Yes | Yes (WebSocket) |
| Pricing Model | Simple flat rate | Per-feature per-region |
Pricing breakdown
5x the price and an Azure subscription, or flat pricing with one key.
SpeakEasy
- ✓STT at $0.20/hour (50 hrs included)
- ✓TTS at $2.50/1M characters (6x less than Azure Neural)
- ✓Single API key — no Azure subscription
- ✓OpenAI SDK — no Azure SDK lock-in
- ✓No region config, ever
Azure Speech
- ✕Azure subscription + resource + region required
- ✕$16/1M chars for Neural TTS ($30 for HD)
- ✕Keys locked to single Azure region
- ✕Proprietary Azure Speech SDK
- ✓5 hrs/month free on F0 tier
Save 80% on STT — and skip the Azure portal
100 hrs/month: Azure standard = $100. SpeakEasy = $22.50. And you save the afternoon of clicking through the Azure portal.
Skip the Azure portal
Azure needs a subscription, a resource, a region-locked key, and a custom SDK. SpeakEasy needs one API key.
# Azure Speech — region-locked SDK, subscription key required
import azure.cognitiveservices.speech as speechsdk
speech_config = speechsdk.SpeechConfig(
subscription="YOUR_AZURE_KEY",
region="eastus",
)
audio_input = speechsdk.AudioConfig(filename="meeting.mp3")
recognizer = speechsdk.SpeechRecognizer(
speech_config=speech_config,
audio_config=audio_input,
)
result = recognizer.recognize_once()
print(result.text)# SpeakEasy — no region config, standard OpenAI SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_SPEAKEASY_KEY",
base_url="https://www.tryspeakeasy.io/api/v1"
)
transcript = client.audio.transcriptions.create(
model="whisper-large-v3",
file=open("meeting.mp3", "rb")
)
print(transcript.text)The verdict
Azure Speech exists to sell more Azure.The pricing (5x market rate), the SDK lock-in, the region-bound keys, the per-feature surcharges — all of it assumes you've already committed to the Azure ecosystem and are willing to pay the tax.
Fair enough if you're already deeply in Azure (Azure Functions, Cosmos DB, App Service all in one subscription) — the co-location matters for enterprise compliance. For everyone else, Azure Speech is expensive, locked-in, and annoying to set up.
SpeakEasy runs Whisper large-v3 at a fifth of the price, uses the OpenAI SDK your team already knows, and needs nothing beyond an API key. Ship in the time it would take to approve an Azure subscription request.
$1 for your first month. Full 50 hours included.
Also compare SpeakEasy with:
$1. 50 hours. Both STT and TTS.
Your current speech API provider is charging you too much. Switch in one line of code.