Whisper Alternatives

Deepgram is the alternative we would point most Whisper users to first, because it fixes the two things Whisper does not do, live streaming and speaker labels, while costing less per hour than the Whisper API on recorded files. Its Nova-3 model handles pre-recorded files and live streams through the same API, and its Flux model is built for voice agents that need to know when a speaker has finished a turn. If you are choosing a complete platform rather than a transcription API, see our best AI voice agents.

The price order matters here. On pay as you go, Nova-3 Monolingual costs $0.0043 a minute on pre-recorded audio, $0.26 an hour, against $0.36 an hour for Whisper. Nova-3 Multilingual costs $0.0052 a minute. Streaming costs more: $0.0077 a minute, $0.46 an hour, for Nova-3 Monolingual or Flux English. Growth, which starts at $4,000 a year in prepaid credits, cuts the pre-recorded rate to $0.0036 a minute. Speaker diarization and smart formatting are included on pre-recorded audio; redaction costs $0.0020 a minute and entity detection $0.0017.

Billing is per second, so a 14-second file bills as 14 seconds, and the $200 sign-up credit covers roughly 43,000 minutes of Nova-3, over 700 hours. The limit is language depth: users regularly mention weaker coverage outside major languages, and diarization becomes a paid add-on as soon as you stream. You can wire it into a no-code flow with the Deepgram module for Make or Deepgram on Zapier.

AssemblyAI is the alternative for teams who need more than a transcript. On top of its Universal models it sells speaker diarization, PII redaction, entity detection, sentiment analysis and summarization as add-ons, all billed per audio hour on the same invoice. That makes it a natural fit for call recordings, sales coaching and meeting notes, where the text is only the first step.

In price order: Universal-2 costs $0.15 an hour on pre-recorded audio and Universal-3.5 Pro $0.21 an hour, against $0.36 for the Whisper API. Streaming starts at $0.15 an hour for Universal-Streaming English or Multilingual, and Universal-3.6 Pro Realtime costs $0.45 an hour. Add-ons stack on top: standard diarization adds $0.02 an hour on files and $0.12 an hour on streams, PII audio redaction $0.05, entity detection $0.08, keyterms prompting $0.05 for up to 1,000 terms on Universal-3.5 Pro. A full stack on Universal-3.5 Pro (diarization, keyterms, entity detection) comes to $0.36 an hour, the price of plain Whisper.

The limit is the billing of stereo audio: a one-hour two-channel file is billed as two hours, which doubles the bill on call-center recordings. Sign-up comes with $50 in free credits and no card. Connect it to your stack through AssemblyAI on Make, AssemblyAI on Zapier or the AssemblyAI node for n8n.

ElevenLabs is best known for voice generation, but its Scribe models are now one of the cheapest ways to transcribe audio by the hour. Scribe v3 handles 90+ languages, with number formatting, language hints and speaker diarization, and Scribe v3 Live adds a realtime mode with turn detection. For a Whisper user, the attraction is simple: one model that covers nearly as many languages as Whisper, 90+ against 98, at a lower hourly rate, in batch or in realtime.

In price order: Scribe v3 and Scribe v2 cost $0.20 an hour, Scribe v3 Live and Scribe v2 Realtime $0.22 an hour, with keyterm prompting at $0.05 an hour on batch and $0.08 on live. The Starter plan costs $6 a month, $1 for the first month (our ElevenLabs pricing breakdown covers every plan), and Scribe v2 Medical is HIPAA eligible with a business associate agreement. We rate ElevenLabs 4.2 out of 5 in our full ElevenLabs review, and the sub-scores below are the same.

The limit is the vendor's focus. ElevenLabs is a voice company first: Scribe detects 65 entity types and can redact them, but keyterm prompting and transcript editing are paid extras ($0.05 and $0.07 an hour on batch), and customer support is the weak point users mention most in our review. If you are leaving ElevenLabs rather than joining it, our ElevenLabs alternatives page covers the other direction.

Speechmatics is a speech recognition vendor built for enterprise contracts, and it is the alternative that comes closest to Whisper's main advantage, running where you want. On-premises containers, virtual appliances, hybrid deployments and on-device models are all available on its Enterprise plan, so audio never has to leave your servers, but without the GPU tuning and hallucination fixes of a self-hosted Whisper.

In price order, at list rates per hour: Melia 1 costs $0.24 on pre-recorded audio and $0.40 in real time, Oak 1 $0.30 and $0.46, Standard $0.45, Enhanced $0.75 on files and $0.80 live. Linden 1, built for voice agents, costs $0.30 an hour in real time. Those list rates are what pay as you go pays. The $0.12 an hour the pricing page headlines for Melia 1 stacks two discounts: 33% if you opt in to let Speechmatics use your audio and transcripts to train its models, and 25% reserved for its largest annual subscription, $15,000 a year. Melia 1 transcribes 56 languages without choosing one up front, diarization is available on every pre-recorded model, and usage is billed to the second. New accounts get $100 in free credits, and the free tier pauses API access once they run out.

The limit is the self-serve ceiling: 50 concurrent real-time sessions (2 on Free), 10 pre-recorded files per second, support by community, chat and email, and SSO only as a $280 monthly Enterprise add-on. You can call it from automations with the Speechmatics module for Make.

Google Cloud Speech-to-Text is the choice for teams whose audio, data and contracts already live on Google Cloud. It reads files from Cloud Storage, bills on the same invoice as the rest of your project, and offers several model families through its V1 and V2 APIs, from short commands to long recordings, plus a discounted dynamic batch mode for jobs that can wait.

The price order needs reading carefully. On the V2 API, the Standard rate is $0.016 a minute for the first 500,000 minutes a month, $0.96 an hour, almost three times Whisper. It drops to $0.01 from 500,000 minutes, $0.008 from 1 million and $0.004 from 2 million. Dynamic batch, which processes audio at a lower level of urgency, costs $0.003 a minute, $0.18 an hour, half the Whisper rate. On the V1 API, the first 60 minutes each month are free, then $0.016 a minute if you allow data logging, or $0.024 a minute without it.

The limit is complexity. Two API versions, several models, tiered volumes and a separate charge for Cloud Storage make the real price hard to predict, and each audio channel is billed separately. For low-code use, the Google Cloud Speech module for Make calls it without code, and Google transcription also appears in tools we cover on our best AI transcription software ranking.

Amazon Transcribe is the AWS answer to Whisper: a managed service that reads audio from S3, streams live audio and plugs into the rest of AWS through IAM, Lambda and the same bill. Its range is wide, with standard transcription, Call Analytics for contact centers (our call center software ranking covers the full suites), Transcribe Medical, toxicity detection and custom language models trained on your own text, which makes it a common default for teams that already run their product on AWS.

In price order, from AWS's own US East (N. Virginia) examples: batch transcription works out at $0.006 a minute, the same $0.36 an hour as Whisper, and streaming at $0.01 a minute, $0.60 an hour. Usage is billed in one-second increments, with no minimum applied. Automatic content redaction of PII adds $0.0024 a minute on the first 250,000 minutes, and Call Analytics starts at $0.03 a minute. The free tier covers 60 minutes a month for 12 months.

The limit is that nothing is simpler than on a dedicated API: rates vary by region and add-ons pile up. One point in its favor on call audio: its rates cover up to two channels, so a two-channel call is billed once, not per channel. If you automate with n8n, the AWS Transcribe node for n8n saves you the SDK work.