Amazon Transcribe alternative: Avencera vs Amazon

At 100 hours a month with speaker labels, Amazon Transcribe costs 5.1× as much as Avencera. Amazon transcribes words more accurately on the one published test that covers both, by up to 0.4 points.

At a glance

Amazon Transcribe is AWS’s speech-to-text service, billed per second with speaker labels included. It fits teams that keep audio in S3 and want transcription inside their AWS account.

FeatureAvenceraAmazon
Transcript, at 100 hours a month$0.06 an hourTranscribe: $0.36 an hour (6.0×)
With speaker labels, at 100 hours a month$0.07 an hourTranscribe: $0.36 an hour (5.1×)
Speaker labelsIncluded in the speaker transcript priceTranscribe: included
BillingPrepaid credit, no subscriptionTranscribe: pay as you go
Real-time streamingNo, recorded audio onlyYes
Longest file2 hours or 100 MB per request, 24 hours as a job8 hours or 2 GB per file
APIOpenAI-compatibleAmazon’s own

Price with speaker labels

Audio a monthAvenceraAmazon Transcribe
10 hours$0.70$3.60 5.1×
100 hours$7.00$36.00 5.1×
1,000 hours$70.00$360.00 5.1×
10,000 hours$700.00$3,600.00 5.1×

See every provider at any volume on the pricing page.

Accuracy

Words

Amazon transcribes words more accurately on the one published test that covers both, by up to 0.4 points.

Word error rate by benchmark, lower is better
  1. Artificial Analysis Word error rate, measured on each provider’s own API

    Transcribe by 0.4 points

    Avencera Parakeet v3: 4.5%. Amazon Transcribe: 4.1%.

Which to choose

Choose Amazon if

  • Word accuracy matters most. Transcribe scores 4.1% on the Artificial Analysis, against 4.5% for Parakeet v3.
  • You need real-time streaming. Amazon offers it; Avencera transcribes recorded audio only.
  • You want to start free. Amazon Transcribe includes 60 free minutes a month for the first 12 months.
  • Your audio already lives in S3 and you want transcription inside your AWS account and bill.
  • You need an API today. Avencera opens soon.

Choose Avencera if

  • You want the lower bill. Amazon Transcribe costs 5.1× as much at 100 hours a month with speaker labels.
  • You want prepaid credit with no subscription, no minimum and no expiry.
  • Your audio stays yours. Avencera deletes it once the transcript is ready and never trains on it.

Switching to Avencera

Avencera serves OpenAI’s transcription API, so the official OpenAI SDKs work with a new base URL and model name. Set speaker_labels to true for a speaker on every segment.

from openai import OpenAI

client = OpenAI(base_url="https://api.avencera.com/v1", api_key="YOUR_AVENCERA_KEY")

with open("meeting.mp3", "rb") as audio:
    transcript = client.audio.transcriptions.create(
        model="avencera/parakeet-tdt-0.6b-v2",
        file=audio,
        extra_body={"speaker_labels": True},
    )

Questions

Is Avencera cheaper than Amazon?
Yes. Avencera transcribes from $0.06 an hour, or $0.07 with speaker labels. At 100 hours a month with speaker labels, Amazon Transcribe costs $36.00 against $7.00 at Avencera, 5.1× as much.
Is Avencera more accurate than Amazon?
Amazon transcribes words more accurately on the one published test that covers both, by up to 0.4 points. Transcribe scores 4.1% on the Artificial Analysis, against 4.5% for Parakeet v3.
Does Amazon Transcribe charge extra for speaker labels?
No. Speaker labels are included in its standard batch price.
How do I switch from Amazon to Avencera?
Avencera uses OpenAI’s transcription API format, so any OpenAI SDK works. Send the same audio files you send Amazon, and map its response fields to the OpenAI-style transcript.

Sources

Multiples in brackets compare with Avencera’s cheapest offer at the same volume.

Monthly list prices for recorded audio with speaker labels, before free credit, discounts or contracts. Each plan uses whichever of its options costs least at that volume.

Accuracy: Lower is better, and results within 0.1 points count as level. Artificial Analysis tests Parakeet v3 as hosted by Together AI.

Vendor prices and features from each vendor’s own pages, checked October 23, 2026. Benchmark results as of October 23, 2026 for the Artificial Analysis speech-to-text and October 22, 2026 for the pyannoteAI diarization benchmark.