Best Transcription Model for Meeting Bots in 2026

Finding the best transcription model for your meeting bot can significantly impact accuracy, cost, and latency.

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March 20, 20265 min read
AP
Anita PijffersMarketeer
Best transcription model for meeting bots in 2026

Best Transcription Model for Meeting Bots in 2026

Finding the best transcription model for your meeting bot can significantly impact accuracy, cost, and latency. We analyzed real usage data from thousands of meeting bots to help you choose the best transcription model for your use case.

Usage Distribution in Practice

Looking at our data, we see a clear pattern:

ModelUsageType
Soniox27%Async
No transcription22%-
Whisper (OpenAI)14%Async
AssemblyAI13%Async
Other24%Mix

Why 22% Choose No Transcription

Surprisingly, almost a quarter of all bots run without a transcription model. These are users who:

  • Only want audio/video recording: They process the recording later with their own tooling
  • Use BYOK (Bring Your Own Key): They send the audio to their own transcription account
  • Build custom pipelines: The audio goes to their own AI model or fine-tuned Whisper variant

The Top 3 Explained

1. Soniox (27%): The Price/Quality Champion

Soniox is by far the most popular model. Why?

  • Sharp pricing: $0.10/hour for async, one of the cheapest options
  • Excellent diarization: Reliably identifies who said what
  • Custom vocabulary: Useful for industry jargon or product names
  • Realtime variant available: Same quality, streamed live

Ideal for: Teams processing many meetings who want to control costs without sacrificing quality.

2. Whisper (14%): The Reliable Classic

OpenAI's Whisper is an open-source model that changed the industry. With us:

  • Lowest price: $0.04/hour, the cheapest option
  • Broad language support: 90+ languages out-of-the-box
  • No diarization: Cannot distinguish who is speaking (important limitation!)
  • Async only: No realtime variant

Ideal for: Simple use cases where you just need a transcript, without speaker labels. Think: content repurposing, searchable archives, or as input for your own AI.

3. AssemblyAI (13%): The Feature-Rich Option

AssemblyAI offers more than just transcription:

  • Profanity filter: Automatically censor swear words
  • Custom vocabulary: Train the model on your terminology
  • Good diarization: Reliable speaker identification
  • Realtime available: For live applications

Ideal for: Professional applications where you need extra features, like compliance-sensitive environments or customer calls.

Realtime vs. Async: When to Choose What?

Only ~8% of all bots use a realtime model. That's because:

Async (92%) is more popular because:

  • Cheaper (no realtime surcharge)
  • Higher accuracy (model can use context from the entire conversation)
  • Simpler to implement

Realtime (8%) is needed when:

  • You want to show live captions
  • An AI agent needs to respond during the conversation
  • Immediate action is required based on what's being said

The most popular realtime option is Soniox Realtime: the same price/quality balance as the async variant.

How to Choose the Right Model

Pricing note: All prices below are transcription costs only. Skribby's base rate is $0.35/hour for the meeting bot + audio recording. Add the transcription cost for your total. See our pricing page for full details.

Start with these questions:

  1. Do you need speaker labels?

    • Yes → Soniox, AssemblyAI, Deepgram, or Rev AI
    • No → Whisper (cheapest)
  2. Does it need to be realtime?

    • Yes → Soniox Realtime or Deepgram Realtime
    • No → Async variants (cheaper + more accurate)
  3. What's your budget?

    • Minimal → Whisper ($0.04/hour)
    • Balanced → Soniox ($0.10/hour)
    • Premium features → AssemblyAI or Deepgram
  4. Need specific features?

    • Profanity filter → AssemblyAI, Deepgram, Speechmatics
    • Custom vocab → Soniox, AssemblyAI, Deepgram, Whisper
    • Best diarization → Soniox, Rev AI

Our Recommendation: Best Transcription Model Overall

For most developers looking for the best transcription model, we recommend Soniox. It offers the best balance between price, quality, and features. If you find you have specific needs (realtime, certain languages, compliance features), you can easily switch: Skribby normalizes the output so your code keeps working the same way.


Frequently Asked Questions

What is the cheapest transcription model?

Whisper is the cheapest at $0.04/hour. However, it doesn't support speaker diarization. If you need to know who said what, Soniox at $0.10/hour is the most affordable option with diarization included.

Which transcription model has the best accuracy?

Accuracy depends on your use case. For general meetings in English, Soniox, Deepgram Nova-3, and AssemblyAI all perform excellently. For multilingual meetings, Whisper handles 90+ languages well. We recommend testing with your actual audio to find the best fit.

What's the difference between realtime and async transcription?

Async transcription processes audio after the meeting ends: it's cheaper and often more accurate because the model can use the full context. Realtime transcription streams results live during the meeting, which is essential for live captions or AI agents that need to respond mid-conversation.

Does Whisper support speaker diarization?

No. OpenAI's Whisper model does not identify different speakers. If you need speaker labels (who said what), use Soniox, AssemblyAI, Deepgram, or Rev AI instead.

Can I switch transcription models without changing my code?

Yes. Skribby normalizes the output format across all providers. You can switch from Whisper to Deepgram to Soniox without modifying how you handle the transcription response.

Which model should I use for non-English meetings?

For non-English languages, Whisper offers the broadest support with 90+ languages. Soniox and Deepgram also support many languages with strong accuracy. Check our transcription models documentation for the full language list per provider.

What does "no transcription" mean in the usage data?

About 22% of bots run without a transcription model. These users either process audio themselves, use BYOK (Bring Your Own Key) to handle transcription directly with providers, or only need the raw audio/video recording.


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Have questions about which model fits your use case best? Get in touch or join our Discord community.

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