AI model

Whisper

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Transcribe audio and perform supported speech translation locally.

Overview

What you provide

  • An authorized audio recording and a selected Whisper model

What you get

  • A transcript or supported translated speech text

Setup & workflow

  1. Install openai-whisper and the required audio-processing dependencies, then select a model.
  2. Prepare the input: An authorized audio recording and a selected Whisper model.
  3. Run a small, reversible example and inspect the output: A transcript or supported translated speech text.
  4. Listen to representative segments and correct names, timestamps and misrecognized speech.
Requirements & installation
  • Configure the documented runtime and authorized service access before attempting this workflow.

Limits & review

  • Speech recognition alone does not identify action owners or send meeting follow-ups.
  • Evidence review only: the product was not installed or tested in this crawl.

Your part

  • Listen to representative segments and correct names, timestamps and misrecognized speech.
When to consider another product

Unreviewed production decisions, unrestricted account access or guaranteed factual results.

Plans & billing details

Cost planning

  • Review scope is licensing and documented free-use boundaries, not numeric prices or current hosted-plan allowances.

Published prices are a snapshot. Confirm billing cycle, taxes and current allowances with the provider.

Sources & verification3

This profile is based on official sources, not a hands-on product test.

Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.

Discovered via OpenFree.Tools.

  • Whisper — official READMEraw.githubusercontent.com

    The maintainer README supports this scope: Transcribe audio and perform supported speech translation locally.

  • Whisper — product entry pointgithub.com

    The public product entry point was retrieved. Functional scope and setup in this record are grounded in the linked maintainer README.

  • Whisper — license termsraw.githubusercontent.com

    The retrieved license materials support this boundary: MIT. Review the complete terms for your use case.

Frequently asked questions

What does Whisper do?

Transcribe audio and perform supported speech translation locally.

How much does Whisper cost?

Whisper code and published weights are MIT-licensed and can be run locally. Hardware, storage and any separately selected hosted transcription service are not included.

What should I check before using Whisper?

Speech recognition alone does not identify action owners or send meeting follow-ups.