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Speech-to-text API with high accuracy transcription

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Reviews onG2
107 reviews tracked·3 press mentions

The Bottom Line

Entry price

Paid plans only

Biggest pro

Good speech-to-text

Biggest con

Expensive at scale

TL;DR - AssemblyAI

  • AssemblyAI provides AI models for speech-to-text, speaker detection, and audio intelligence
  • It transcribes audio with high accuracy and extracts insights like sentiment and topics
  • Pay-as-you-go from $0.00025/second, free tier available
Pricing: Paid only
Best for: Enterprises & pros
4.6/5 across review platforms

What is AssemblyAI?

Editorial review
AssemblyAI provides speech-to-text and audio intelligence APIs. Features high-accuracy transcription, speaker diarization, and LLM-powered audio understanding.

Available on: Web

Pros & Cons

Pros

  • Good speech-to-text
  • Speaker diarization
  • Topic detection
  • Good accuracy
  • Fair pricing

Cons

  • Expensive at scale
  • Limited languages
  • Real-time latency
  • API only
  • Enterprise features limited

Ratings Across the Web

4.6(107 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Speech-to-text APIAudio intelligenceSpeaker diarizationLeMUR LLM integrationStreaming transcriptionHIPAA complianceEU data residencySelf-hosted deploymentCustom SLAs55+ languages

Pricing Plans

Pricing checked Jul 9, 2026

Free

Free

  • 185 hours pre-recorded transcription
  • 333 hours streaming transcription
  • 5 new streams per minute max
  • Speech-to-Text and Audio Intelligence
  • Developer docs and community support

Pay As You Go

$0.15

  • Unlimited Speech-to-Text and Audio Intelligence
  • LeMUR LLM access
  • 200+ concurrent files
  • Customizable rate limits
  • Dedicated technical support
  • BAA for HIPAA
  • EU Data Residency
  • Self-hosted deployment options

Reviews

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4.6/5

Across 107 verified user reviews on G2

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AssemblyAI FAQ

How does AssemblyAI handle multiple speakers in an audio file?

AssemblyAI offers speaker diarization, which allows it to identify and separate different speakers within an audio recording. This feature helps in transcribing conversations with multiple participants more clearly. It ensures that each speaker's dialogue is attributed correctly in the transcription.

Which teams would benefit most from using AssemblyAI?

Teams that require high-accuracy speech-to-text transcription and advanced audio intelligence features would find AssemblyAI most beneficial. This includes developers building applications that need to process spoken language, as well as businesses looking to extract insights from audio data. Its API-only nature suits development-focused teams.

How does AssemblyAI compare to Deepgram for speech-to-text accuracy?

AssemblyAI is known for its good speech-to-text accuracy and offers features like speaker diarization and topic detection. While both provide transcription services, AssemblyAI focuses on high-accuracy transcription and LLM-powered audio understanding. Deepgram also provides speech-to-text, but specific comparative accuracy metrics are not provided.

What kind of audio intelligence can AssemblyAI provide beyond basic transcription?

Beyond basic transcription, AssemblyAI offers LLM-powered audio understanding capabilities. This includes features like topic detection, which helps in identifying the main subjects discussed in an audio file. It allows users to extract deeper insights from their audio data.

What are the primary limitations of using AssemblyAI?

AssemblyAI's primary limitations include its cost at scale and a restricted number of supported languages. It is also an API-only product, meaning it requires technical integration, and its enterprise features are considered limited. Additionally, there can be real-time latency concerns.

How is AssemblyAI priced?

AssemblyAI is a paid product and does not offer a permanently free tier. Its pricing model is designed for commercial use, requiring payment for its services. Users should anticipate costs associated with their usage of the API.

Can AssemblyAI identify key topics within transcribed audio?

Yes, AssemblyAI can identify key topics within transcribed audio through its topic detection feature. This capability is part of its LLM-powered audio understanding. It helps users quickly grasp the main subjects discussed in their audio content.

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