— Audio Tool

OpenAI Whisper

Last updated June 19, 2026 · Reviewed by ToolForge Editorial

The gold standard for speech-to-text. Open-source, 99 languages, near-human accuracy.

★ 4.7/5 · Podcasters, transcribers, video editors, developers · Since 2022 · Open-source (MIT) for self-hosting
Free (self-host) / $0.006/min
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What it is

Whisper is the default speech-to-text model for 2026.

Who it's for: Podcasters, transcribers, video editors, developers.

Key features

99 langs 99 languages

Trained on 680,000 hours of multilingual audio. Out-of-the-box accuracy in English, Spanish, Mandarin, Hindi, Arabic, and 94 more.

Open MIT licensed

Run Whisper locally on your own hardware. No per-minute API fees. No data leaves your machine.

Translate Speech translation

Translate speech from any of 99 languages directly to English text. Built-in, no separate pipeline.

Whisper-3 Whisper Large V3

The latest model improves word error rate 10-20% over V2. Same 1.5B parameters, better training data.

The honest take

✓ What works

  • Most accurate open-source speech-to-text in 2026
  • MIT license — fully commercial use
  • 99 languages out of the box
  • Cheap hosted API ($0.006/min)
  • Speaker diarization via pyannote integration

✗ What doesn't

  • No real-time streaming in the open-source version (use hosted API)
  • Slower than competitors on long audio (no chunking out of the box)
  • No built-in speaker labels (requires pyannote)
  • Hosted API has rate limits

Verdict

Whisper is the default speech-to-text model for 2026. If you need a one-off transcription, the hosted API is cheap. If you transcribe 100+ hours/month, self-hosting on a single A10G GPU pays back in 2 months. For real-time voice agents, use the hosted API with streaming.

💡 Transparency: This review contains affiliate links. If you sign up through our link, we may earn a commission at no cost to you. We only recommend tools we use ourselves. Full disclosure.

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Free (self-host) / $0.006/min · Open-source (MIT) for self-hosting

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