How do their growth rates compare?

OpenWhispr has a month-over-month growth rate of -13.3%; Whisper (OpenAI) has —.

How does pricing compare?

OpenWhispr: Free. Free to download and use, and the code is open source under the MIT license. Local on-device transcription and bring-your-own-API-key cloud transcription cost nothing extra in software fees; if you choose a paid cloud provider, you pay that provider directly. A separate pricing page and enterprise contact option exist for organisational deployments. Whisper (OpenAI): Free. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

What are alternatives to OpenWhispr and Whisper (OpenAI)?

Other tools in related categories include TurboScribe, Otter AI, Happy Scribe, Video Transcriber AI, Deepgram Voice AI.

OpenWhispr vs Whisper (OpenAI) — Traffic (291.76K vs 0), Pricing & Verdict

Open AI Tools

OpenWhispr vs Whisper (OpenAI) — Traffic (291.76K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	OpenWhispr	Whisper (OpenAI)
Official Domain	openwhispr.com	github.com
Pricing Model	Free	Free
Monthly Visits	291.76K (291,756)	0 (0)
MoM Traffic Delta	-44.68K (-13.3%)	0 (—)
Primary Market & Share	🇺🇸 United States (30.5%)	🌐 Global (—)
Direct Visits / mo	72.62K	0
User Rating	4.5	4.8
Supported Platforms	Website	Open Source

OpenWhispr

Free open-source dictation that runs speech-to-text on your own machine

System-wide dictation

Press a configurable hotkey and your words are typed into whichever app has focus — chat clients, editors, browsers and terminals alike.

Local or cloud processing

Run on-device models such as Whisper or NVIDIA Parakeet for full privacy, or switch to cloud transcription with your own provider API keys.

AI cleanup and voice commands

Spoken instructions like "clean this up" or "draft an email" let the model restructure and polish the raw transcript before it lands.

Custom vocabulary learning

Names, jargon and technical terms are auto-learned from your corrections so recurring vocabulary stops being misheard.

Strengths & Pros

+Genuinely free and open source under the MIT license, with the code available for inspection.
+On-device models mean dictation can work fully offline with no audio leaving your computer.
+Works across all apps rather than being locked inside one editor or chat window.
+Publishes SOC 2 Type II, ISO 27001, HIPAA and GDPR-oriented credentials, which is rare for a free tool.