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Reviews onG2Capterra
11 reviews tracked

The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Excellent speech recognition

Biggest con

Resource intensive

TL;DR - Whisper

  • AI speech recognition and transcription
  • Supports 99 languages with high accuracy
  • Open source and free to use
Pricing: Free forever
Best for: Individuals & startups
4.8/5 across review platforms

What is Whisper?

Editorial review
Whisper is OpenAI's open-source speech recognition model that approaches human-level accuracy. Transcribe and translate audio in 99 languages. Robust to accents, background noise, and technical language. Run locally for privacy or use OpenAI's API for convenience. Multiple model sizes balance accuracy and speed. The speech recognition model that finally makes transcription reliable enough to trust.

Pros & Cons

Pros

  • Excellent speech recognition
  • Open source
  • Many languages
  • Good accuracy
  • Self-hostable

Cons

  • Resource intensive
  • Setup complexity
  • Real-time limited
  • Hardware requirements
  • API alternative exists

Ratings Across the Web

4.8(11 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Speech recognitionTranscriptionTranslationMulti-languageOpen sourceLocal deployment

Pricing Plans

Open Source (Self-Hosted)

Free

  • MIT licensed
  • 99 languages
  • Local processing
  • Unlimited transcription
  • No API costs

API

$0.006/minute

  • $0.006/min ($0.36/hour)
  • Fast processing
  • No GPU needed
  • OpenAI hosted

How Whisper's pricing compares

At $0.01/mo, Whisper is the most affordable of its 4 direct competitors.

Entry paid plan, monthly.

Reviews

4.8/5

Across 11 verified user reviews on Capterra, G2

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Whisper FAQ

What is Whisper?

Whisper is OpenAI's open-source speech recognition model that transcribes audio with high accuracy across many languages.

Is Whisper free?

Yes, Whisper is open-source and free. You can run it locally or use the API with usage-based pricing.

How accurate is Whisper?

Whisper achieves near-human-level accuracy, especially the large model, across diverse audio conditions.

Source: openai.com