Alternatives to Whisper
OpenAI's open source speech recognition
Whisper ranks #8 of 8 in Transcription tools, with an Alt Score of 55. It is licensed under MIT, free and available on Windows, macOS and Linux. 10 of 10 checklist rows are verified against a public source.
Developers and researchers who need to add speech-to-text transcription or translation to an application, or who want to run automatic speech recognition locally without a hosted API.
An open-source, general-purpose speech recognition model trained on 680,000 hours of multilingual and multitask supervised audio data. It transcribes speech in many languages and can translate that speech into English text. Whisper is released as pretrained checkpoints in multiple sizes (tiny through large), letting users trade off speed, resource usage, and accuracy, along with the training/inference code.
Install the Python package (with ffmpeg) and run the `whisper` command-line tool on an audio file, or call the Python API directly, choosing a model size; Whisper's encoder-decoder Transformer then outputs a transcript or English translation, optionally with timestamps.
Why people leave Whisper
Dashed reasons are sourced facts; the rest are opinions. Vendors can dispute.
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
Feature comparison
Rows come from the Transcription tools checklist (14 rows). Human-verified cells only. ? means the value has not been verified.
| Transcription tools checklist | Whisper | Rev | Fireflies | Otter.ai | Sonix | MacWhisper |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Accuracy (benchmark class) | ||||||
| Speaker diarization | ||||||
| Languages supported | ||||||
| Runs locally / offline | ||||||
| Meeting bot (auto-join) | ||||||
| Summaries & action items | ||||||
| Export formats (SRT, VTT) | ||||||
| API access | ||||||
| Free tier limits | ||||||
| Human review option |
Sources & verification
14
Every fact and feature listed for Whisper is verified against its own pages. Each alternative is sourced on its own page.
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License MIT verified 2026-07-10
MIT License
https://github.com/openai/whisper/blob/main/LICENSE -
Pricing model Free verified 2026-07-10
Permission is hereby granted, free of charge, to any person obtaining a copy
https://github.com/openai/whisper/blob/main/LICENSE -
Platforms Windows, macOS, Linux verified 2026-07-10
# on MacOS using Homebrew (https://brew.sh/) brew install ffmpeg # on Windows using Chocolatey (https://chocolatey.org/) choco install ffmpeg
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Status active verified 2026-07-10
Pin pre-commit hook revisions to immutable commits (#2760)
https://github.com/openai/whisper/commits/main.atom -
Accuracy (benchmark class) Yes verified 2026-07-10
accuracy on speech recognition and translation is near the state-of-the-art level
https://raw.githubusercontent.com/openai/whisper/main/model-card.md -
Speaker diarization No verified 2026-07-10
They may exhibit additional capabilities, particularly if fine-tuned on certain tasks like voice activity detection, speaker classification, or speaker diarization but have not been robustly evaluated
https://raw.githubusercontent.com/openai/whisper/main/model-card.md -
Languages supported Yes verified 2026-07-10
a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Runs locally / offline Yes verified 2026-07-10
You can download and install (or update to) the latest release of Whisper with the following command:
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Meeting bot (auto-join) No verified 2026-07-10
Whisper is a general-purpose speech recognition model.
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Summaries & action items No verified 2026-07-10
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech trans
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Export formats (SRT, VTT) Yes verified 2026-07-10
--output_format", "-f", type=str, default="all", choices=["txt", "vtt", "srt", "tsv", "json", "all"]"
https://raw.githubusercontent.com/openai/whisper/main/whisper/transcribe.py -
API access Yes verified 2026-07-10
turbo") result = model.transcribe("audio.mp3") print(result["text"])"
import whisper model = whisper.load_model(
https://raw.githubusercontent.com/openai/whisper/main/README.md -
Free tier limits No verified 2026-07-10
Permission is hereby granted, free of charge, to any person obtaining a copy
https://github.com/openai/whisper/blob/main/LICENSE -
Human review option No verified 2026-07-10
Whisper is a general-purpose speech recognition model.
https://raw.githubusercontent.com/openai/whisper/main/README.md
FAQ
Yes. Rev, Fireflies and Otter.ai have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.