The Rundown AI homepage

Independent tool overview

OpenAI Whisper at a glance

OpenAI Whisper is a general-purpose speech-recognition model for multilingual transcription, speech translation, and language identification.

Visit the official OpenAI Whisper site ↗
OpenAI Whisper product preview
Model ID
whisper-1
Primary use
Speech recognition and translation
Scheduled API removal
February 26, 2027

Overview

What OpenAI Whisper is

The hosted whisper-1 model accepts audio and returns text through OpenAI's transcription and translation interfaces. It remains useful for established speech-to-text integrations and supports a broad set of languages.

OpenAI has announced that whisper-1 is scheduled for removal from the API on February 26, 2027, with newer transcription models recommended as replacements. New integrations should evaluate the current alternatives rather than assuming Whisper is the long-term default.

Use cases

Who OpenAI Whisper is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

Existing Whisper integrations

Teams maintaining transcription workflows that already depend on whisper-1 behavior.

Multilingual audio processing

Applications that need transcription, language identification, or speech-to-English translation.

Capabilities

Core OpenAI Whisper features

1

Multilingual transcription

Recognizes speech across many supported languages and returns text.

2

Speech translation

Can translate supported spoken languages into English text.

3

Language identification

Detects the language represented in an audio input as part of its multitask design.

Process

How the OpenAI Whisper workflow works

  1. Step 1

    Prepare audio

    Provide a supported audio file within the endpoint's format and size limits.

  2. Step 2

    Call the audio API

    Send a transcription or translation request using the whisper-1 model.

  3. Step 3

    Validate and migrate

    Review accuracy for the domain and plan migration before the announced removal date.

Cost

OpenAI Whisper pricing and free plan

OpenAI lists whisper-1 transcription at $0.006 per audio minute as of the review date. OpenAI has also announced removal on February 26, 2027, so confirm current pricing and migration guidance before new adoption.

Whisper API

$0.006 per minute

Usage-based hosted transcription pricing for whisper-1.

  • Billed by audio duration
  • Subject to account rate limits

Pricing checked . Check current pricing at the source ↗

Assessment

OpenAI Whisper strengths and limitations

Where it stands out

  • Mature multilingual speech-recognition capabilities.
  • Simple duration-based hosted API pricing.

What to consider

  • The hosted whisper-1 model has a scheduled API removal date.
  • Accuracy still varies with noise, accents, audio quality, and specialized vocabulary.

Compare

OpenAI Whisper alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

Business Operations

ChatGPT

Choose ChatGPT for a broader general-purpose assistant with mature chat, file, and tool workflows.

Explore ChatGPT →

Project Management

Claude

Choose Claude for an alternative general-purpose assistant with projects, artifacts, and connectors.

Explore Claude →

Questions

OpenAI Whisper FAQs

What is OpenAI Whisper?

OpenAI Whisper is a general-purpose speech-recognition model for multilingual transcription, speech translation, and language identification.

Who is OpenAI Whisper best for?

Teams maintaining transcription workflows that already depend on whisper-1 behavior. Applications that need transcription, language identification, or speech-to-English translation.

How much does OpenAI Whisper cost?

OpenAI lists whisper-1 transcription at $0.006 per audio minute as of the review date. OpenAI has also announced removal on February 26, 2027, so confirm current pricing and migration guidance before new adoption.

Bottom line

Our OpenAI Whisper verdict

Whisper remains useful for existing transcription workloads, but it should be treated as a migration-stage model in late 2026. New projects should compare OpenAI's recommended replacement transcription models before committing.

Visit OpenAI Whisper website ↗

Last reviewed . This review used OpenAI Whisper model page and OpenAI API deprecations available on 2026-10-16. We did not conduct hands-on product testing, so behavior, access, and limits should be confirmed in the official product before adoption.

Sources reviewed: OpenAI Whisper model page · OpenAI API deprecations

The Rundown University

AI training for the future of work.

Get access to all our AI courses, hundreds of real-world AI use cases, live expert-led workshops, an exclusive network of AI early adopters, and more.

AI Courses

Get unlimited access to all of our current & upcoming industry-specific AI courses for the duration of your subscription.

Daily Guides

To keep up with the rapid pace of AI, our team publishes AI implementation guides daily. Our library contains 300+ practical use cases to automate real-world work.

Workshops

Join weekly, live, interactive sessions with industry leaders who are at the forefront of AI for hands-on implementation guidance and exclusive insights.

Community

Network with an exclusive community of AI-first professionals who are working smarter with AI. Learn how early adopters are using AI in their work and businesses.