Whisper

Name: Whisper
Brand: Whisper
Rating: 4.8 (11 reviews)

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Open-source speech recognition

Transcription Translation AI Assistants

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4.8(11 across the web)

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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.

LCLouis CorneloupUpdated May 26, 2026 · 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)

What people say

“Whisper handles code-switching a lot better than anything else we tested.”via G2

“My only criticism of Whisper is that there isn't a greater variety of clients supporting it, especially in the realm of Android tools.”via Capterra

Ratings aggregated from independent review platforms. Learn more

Key Features

Speech recognitionTranscriptionTranslationMulti-languageOpen sourceLocal deployment

Pricing Plans

Pricing checked Jul 30, 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 cost View full pricing

Is Whisper worth the price?

95/100

Whisper's pricing is incredibly generous, especially with its robust open-source option.

The API at $0.006/minute is competitive, offering a cost-effective solution for those needing hosted processing. This structure is best for a wide range of users, from developers to enterprises, seeking flexible and affordable speech-to-text.

Hidden Costs & Gotchas

Self-hosting requires hardware/maintenance costs

API costs can escalate with high volume

No enterprise-specific support mentioned

Integration development time for self-hosted

How Whisper Compares to Competitors

Compared to Google Cloud Speech-to-Text, which starts at $0.016/minute, Whisper's API at $0.006/minute is significantly cheaper. AWS Transcribe is also more expensive, starting around $0.024/minute. Whisper's open-source option provides unparalleled value, unmatched by any major cloud provider.

How Whisper's pricing compares

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

Whisper

$0.01

$1.99

$18

Entry paid plan, monthly. Pricing checked Jul 30, 2026.

Reviews

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4.8/5

Across 11 verified user reviews on Capterra, G2

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Best Whisper Alternatives

Top alternatives based on features, pricing, and user needs.

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ChatGPTFreemium

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4.6

Microsoft PowerPointFreemium

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Microsoft Teams PhonePaid

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ClickUp BrainFreemium

Unified AI for smarter workflows and task automation

4.6

FathomFree

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

5.0

Rev AIPaid

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

4.6

DeepgramFreemium

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

4.6

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 pick Whisper vs ChatGPTHead-to-head: features, pricing, who wins Whisper vs Microsoft PowerPointHead-to-head: features, pricing, who wins Whisper 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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