Whisper vs AssemblyAI

WWhisper9.1Visit AssemblyAI8.4Visit

Higher score W Whisper #3 in Transcription Software 9.1/10 Open source ✓ 1 of 3 features Visit OpenAI

vs

AssemblyAI #7 in Transcription Software 8.4/10 Paid ✓ 3 of 3 features Visit AssemblyAI

• Whisper fits best

  Developers wanting free open-source transcription

• AssemblyAI fits best

  Developers building speech products

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Side by side

Feature	WWhisper 9.1/10 Visit ↗	AssemblyAI 8.4/10 Visit ↗
At a glance
Editor score	9.1	8.4
Ranking	#3 in Transcription Software	#7 in Transcription Software
Best for	Developers wanting free open-source transcription	Developers building speech products
Pricing model	Free	Paid
Starting price	Open source	$0.15/unit usage-based
Free plan	Not checked yet	—
Free trial	—	—
Deployment	Self-hosted	Cloud, Self-hosted
Platforms	Windows, macOS, Linux	Web
Support	Community	Email, Live chat, Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Whisper 1/3 · AssemblyAI 3/3
Speaker identification	Not checked yet	✓ (best)
Timestamp support	✓	✓
API access	Not checked yet	✓ (best)
Specs
Languages supported	Not checked yet	99 languages
Included minutes	Not checked yet	Not checked yet
Export formats	txt, vtt, srt, tsv, json, jsonl	SRT, VTT
Our review
Pros	Free local use under the MIT License Supports 98 languages, translation, and language identification Offers Python, CLI, timestamps, and six transcript formats	Free plan includes up to 185 prerecorded hours and 333 streaming hours Supports 99 prerecorded transcription languages with Universal-2 Offers diarization, timestamps, subtitles, and speech-understanding models
Cons	Does not provide speaker labels Requires Python and command-line dependencies for local use No integrations beyond its Python, CLI, and API access	API-only access may not suit teams seeking a ready-made transcription app Pay-as-you-go costs scale with audio usage at $0.15 per hour Self-hosted deployment options are limited to eligible workloads
Our verdict	Whisper is an open-source automatic speech recognition model from OpenAI for developers building transcription and translation workflows. It can transcribe multilingual audio, translate speech into English, identify spoken languages, and… Read the review →	AssemblyAI provides APIs for turning prerecorded and streaming audio into text and structured speech data. It is aimed at developers and organizations building voice applications, including meeting transcription, call analytics, AI… Read the review →

Strengths and trade-offs

• Whisper — where it wins

  • Free local use under the MIT License
  • Supports 98 languages, translation, and language identification
  • Offers Python, CLI, timestamps, and six transcript formats

  Where it doesn't

  • Does not provide speaker labels
  • Requires Python and command-line dependencies for local use
  • No integrations beyond its Python, CLI, and API access

• AssemblyAI — where it wins

  • Free plan includes up to 185 prerecorded hours and 333 streaming hours
  • Supports 99 prerecorded transcription languages with Universal-2
  • Offers diarization, timestamps, subtitles, and speech-understanding models

  Where it doesn't

  • API-only access may not suit teams seeking a ready-made transcription app
  • Pay-as-you-go costs scale with audio usage at $0.15 per hour
  • Self-hosted deployment options are limited to eligible workloads

• WWhisper9.1/10 · Open source

  A flexible free transcription engine for developers who can work with code.

  Visit OpenAIFull verdict →
• AssemblyAI8.4/10 · Paid

  A developer-focused transcription API with multilingual coverage, realtime audio, and usage-based pricing.

  Visit AssemblyAIFull verdict →