Comparison

Rev.ai Charges $1.20/hr for Machine Transcription

Rev.ai's machine tier is $0.02/minute — that is $1.20/hr — and their API is an async job-and-polling flow. SpeakEasy is $0.20/hr, one HTTP call, OpenAI SDK. 83% cheaper, a fraction of the code.

Feature-by-feature comparison

Rev.ai was built for human transcription and retrofitted for machines. We built for developers from day one.

FeatureSpeakEasyRev.ai
STT Price per Hour$0.20$1.20 (machine)
Human TranscriptionN/A$1.50/min ($90/hr)
Monthly Plan$10/mo (50 hrs included)Pay-as-you-go
Free Tier$1 first month5 hours free
Languages99+36
Speaker DiarizationYesYes
Word-level TimestampsYesYes
API ModelSync single callAsync job + polling
OpenAI SDK CompatibleYesNo (custom REST)
Text-to-SpeechYesNo
StreamingYesYes (WebSocket)
Pricing ModelSimple flat ratePer-minute + add-ons

Pricing breakdown

At Rev.ai pricing, 100 hours of audio costs $120. At SpeakEasy pricing, it costs $22.50.

Recommended

SpeakEasy

$10/month
  • STT at $0.20/hour (50 hrs included)
  • One synchronous API call — no polling
  • 99+ languages vs 36
  • Includes TTS for voice agents
  • OpenAI SDK — no vendor lock-in

Rev.ai

$1.20/hour
  • Pay-as-you-go only (no monthly plan)
  • Async job submission + polling loop
  • 36 languages (Whisper models)
  • No Text-to-Speech
  • 5 hours free to start

Save ~$1/hour — 83% less every transcript

100 hrs/month on Rev.ai machine tier: $120. On SpeakEasy: $22.50 ($10 plan + $12.50 overage). Worth a morning of migration work.

One call vs submit-and-poll

Rev.ai makes you submit an async job, then poll for completion, then fetch the transcript separately. SpeakEasy returns the transcript in the response.

revai_example.py (async job + polling)
# Rev.ai — custom REST API, priced per minute
import requests

files = {"media": open("meeting.mp3", "rb")}
headers = {"Authorization": "Bearer YOUR_REVAI_KEY"}

# Submit async job
job = requests.post(
    "https://api.rev.ai/speechtotext/v1/jobs",
    files=files,
    headers=headers,
).json()

# Poll job status, then fetch transcript
# (full example requires polling loop — omitted here)
transcript = requests.get(
    f"https://api.rev.ai/speechtotext/v1/jobs/{job['id']}/transcript",
    headers={**headers, "Accept": "application/vnd.rev.transcript.v1.0+json"},
).json()
Switch to SpeakEasy — transcript in one call
speakeasy_example.py (standard OpenAI SDK)
# SpeakEasy — one call, 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

Rev.ai is a human-transcription service bolted onto a machine API. That legacy shows in the pricing ($1.20/hr is 6x modern market rate) and the developer experience (submit-job, poll, fetch — three calls for what should be one).

If you genuinely need Rev's 99% human-verified accuracy tier, nobody else sells that at their price. But if you just need a transcript of recorded audio, you are paying for infrastructure you do not use.

SpeakEasy runs the Whisper large-v3 stack at $0.20/hr, returns in one synchronous call, and speaks the OpenAI SDK your team already knows. 83% cheaper, one-sixth the code.

Start for $1 →

$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.