Side-by-side

AssemblyAI vs Deepgram vs Speechmatics

AssemblyAIDeepgramSpeechmatics

	AssemblyAI Speech AI models and APIs for developers Visit	Deepgram Fast, scalable speech-to-text and voice AI APIs Visit	Speechmatics Accurate speech-to-text with flexible deployment Visit
Votes	0	0	0
Pricing	Freemium	Freemium	Freemium
Category	Transcription	Transcription	Transcription
Tags	speech-to-textspeech-aitranscriptionapiaudio-intelligence	speech-to-textvoice-aitranscriptionapitext-to-speech	speech-to-texttranscriptionon-premisesapimultilingual
Best for	Developers needing accurate transcription Teams wanting audio-intelligence analytics Apps requiring low-latency sync transcripts	Developers building voice products Cost-sensitive high-volume transcription Teams needing real-time streaming STT	Enterprises needing on-prem transcription Global audio with diverse accents Regulated industries with data-residency needs
Pros	High transcription accuracy with Universal models Supports 99+ languages Rich audio-intelligence features beyond raw transcription Low-latency Sync API with single-request transcripts Generous free tier for evaluation	Very competitive per-minute pricing Low-latency streaming and batch transcription Nova-3 supports 40+ languages Rich features: diarization, smart formatting, keyterm prompting Generous $200 free starting credit	Strong accuracy across accents and dialects Supports roughly 50 languages Cloud, on-premises, and hybrid deployment Free monthly transcription allowance Batch and real-time APIs
Cons	Developer-only; no finished consumer app No self-hosted / on-prem option Streaming and sync tiers cost more than async Enterprise plans can run into five figures annually Add-on features increase per-hour cost	Developer-only; no ready-to-use consumer app Accuracy varies by language and audio quality Advanced features and add-ons increase cost Enterprise growth plans require annual commitments No mobile app or browser extension	Not always the cheapest per minute Developer/enterprise focus, no consumer app Fewer languages than some rivals (99+ elsewhere) Funding has been quiet since 2022 On-prem deployment adds setup complexity

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