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Whisper

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Open-source speech recognition

TranscriptionTranslationAI Assistants
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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.
how we evaluateSourceopenai.com ↗

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)
G25 reviews
4.8/5
Capterra6 reviews
4.8/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Speech recognitionTranscriptionTranslationMulti-languageOpen sourceLocal deployment

Pricing Plans

Pricing checked Jul 10, 2026

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
Calculate your costView full pricing

How Whisper's pricing compares

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

Whisper
$0.01
Rev AI
$1.99
Microsoft PowerPoint
$6
ChatGPT
$8
Fathom
$18

Entry paid plan, monthly. Pricing checked Jul 10, 2026.

Reviews

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4.8/5

Across 11 verified user reviews on Capterra, G2

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Best Whisper Alternatives

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ClickUp BrainFreemium

One AI gateway to every model, with compounding intelligence from your context.

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FathomFree

AI notetaker that summarizes your meetings so you can focus on the conversation.

5.0
Rev AI logo
Rev AIPaid

The world's most accurate API for AI- and human-generated transcripts and speech insights.

4.6
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DeepgramFreemium

Enterprise Voice AI: STT, TTS & Agent APIs for accurate, realistic, and cost-effective voice solutions.

4.6
AssemblyAI logo
AssemblyAIPaid

Speech-to-text API with high accuracy transcription

4.6
See all transcription tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All Whisper alternatives8+ tools ranked, pricing + verdict per pickWhisper vs ChatGPTHead-to-head: features, pricing, who winsWhisper vs Microsoft PowerPointHead-to-head: features, pricing, who winsWhisper vs Microsoft Teams PhoneHead-to-head: features, pricing, who wins

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Whisper FAQ

How does Whisper handle diverse audio inputs?

Whisper is designed to be robust to various audio challenges, including different accents, background noise, and technical language. It can transcribe and translate audio in 99 languages, approaching human-level accuracy.

Which teams would benefit most from using Whisper?

Teams requiring highly accurate transcription and translation for audio content, such as those developing AI Assistants or needing to process multilingual communications, would find Whisper particularly useful. Its open-source nature also suits teams with strong privacy requirements or those who prefer self-hosting solutions.

Can Whisper be used for real-time transcription?

While Whisper offers excellent speech recognition, its real-time capabilities are limited due to its resource-intensive nature. Users may experience setup complexity and hardware requirements when attempting real-time applications.

How is Whisper priced?

Whisper is free to use as an open-source speech recognition model, meaning there is no paid plan required to access its core functionalities. Users can run it locally for privacy or utilize OpenAI's API for convenience, which may have its own associated costs.

What kind of hardware is needed to run Whisper locally?

Running Whisper locally requires specific hardware due to its resource-intensive nature. Users should anticipate needing sufficient computing power to handle the model effectively, especially for larger model sizes that balance accuracy and speed.

How does Whisper compare to AssemblyAI for transcription accuracy?

Whisper is an open-source speech recognition model from OpenAI that approaches human-level accuracy for transcription and translation across 99 languages. It is known for its robustness to accents, background noise, and technical language, offering a reliable alternative to services like AssemblyAI.

Does Whisper support multiple model sizes?

Yes, Whisper offers multiple model sizes, allowing users to balance accuracy with speed based on their specific needs. This flexibility enables optimization for different applications and computational environments.

Source: openai.com

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