Whisper

At a glance

• Editor score
  9.1 / 10
• Pricing
  Open source
• Best for
  Developers wanting free open-source transcription
• Paid from
  Free
• Facts checked
  20 Sep 2026

• 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

Our verdict on Whisper

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 provide voice activity detection. Local use is available on Linux, macOS, and Windows through Python and the command line, while OpenAI also provides hosted API access to the whisper-1 model. Its free local availability and developer-oriented interfaces make it a fit for teams that want control over how transcription runs.

The model offers useful depth for multilingual processing. Published capabilities include support for 98 languages, multiple model sizes ranging from tiny to turbo, word-level timestamp extraction, and transcript output in TXT, VTT, SRT, TSV, JSON, and JSONL. Developers can choose between Python library usage and command-line transcription, which supports different implementation styles. Speech translation into English and spoken-language identification extend its use beyond basic transcription, while voice activity detection helps with audio processing workflows.

Whisper is strongest when a developer wants an open-source foundation rather than a finished transcription workspace. Local use is free under the MIT License, and API access is available for hosted transcription and translation workflows. The trade-off is a narrower product surface: speaker labels are not provided, and the released model does not offer a robustly evaluated speaker diarization capability. The published details also do not describe broader integrations. Choose Whisper for code-driven, multilingual transcription with flexible outputs and model-size options; choose another product if speaker-separated transcripts or a wider integration ecosystem are central requirements.

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Whisper pricing

Whisper fact sheet

Alternatives to Whisper

• Amazon TranscribeA low-cost AWS transcription service with broad workflow and analytics features.9.3
• Google Cloud Speech-to-TextA flexible speech API with strong transcription features and usage-based pricing.9.2
• Express ScribeA focused desktop workspace for manual transcription with pedals, hotkeys, and routing.8.8

See all Whisper alternatives →

Whisper vs the competition

• WWhisper vs Amazon Transcribe
• WWhisper vs Google Cloud Speech-to-Text
• WWhisper vs Express Scribe
• WWhisper vs IBM Watson Speech to Text
• WWhisper vs Happy Scribe
• WWhisper vs AssemblyAI

Compare Whisper with any tool side by side →

Featured on iTechGuides

Whisper is listed in our Transcription Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update