100% open source, with local models that run on your iPhone or iPad. Transcribe on-device for free, without usage limits, an account or a subscription. Speak your reply, draft an email or capture an idea without uploading your audio for transcription. Download a model once and transcribe offline. Choose optional cloud processing or bring your own API key.
OpenWhispr is on iPhone and iPad, and today we’re bringing it to Product Hunt.
It’s 100% open source, with local models that let you transcribe on your device for free, without usage limits or an account.
Right now, you can:
• Write with your voice in any app • Draft messages with your voice assistant • Adjust your writing’s tone to match your vibe • Record and transcribe conversations • Sync your notes with desktop on Pro • Choose on-device transcription, OpenWhispr Cloud or your own API key for supported workflows
Already on Pro? Just sign in. Mobile is included. On-device transcription stays free and unlimited; the voice assistant uses Cloud or your own API key.
For the developers here: on-device transcription uses NVIDIA’s Parakeet through FluidAudio and Apple’s Core ML and Neural Engine, plus OpenAI’s Whisper through whisper.rn/whisper.cpp. The app chooses the engine based on your selected languages and downloaded models.
Speaker labeling runs locally too. Saved voice profiles help recognise familiar speakers across recordings: strong matches get a name automatically, while uncertain matches become suggestions you can confirm. The profiles and matching stay on your device.
Give it a try and tell us what works, what doesn’t, or what you’d like us to add. We’re here to improve it with you.
Thanks for being early, Josh and the OpenWhispr team
About OpenWhispr for iOS on Product Hunt
“100% open source, free & on device transcription”
OpenWhispr for iOS launched on Product Hunt on October 13th, 2026 and earned 102 upvotes and 11 comments, placing #12 on the daily leaderboard. 100% open source, with local models that run on your iPhone or iPad. Transcribe on-device for free, without usage limits, an account or a subscription. Speak your reply, draft an email or capture an idea without uploading your audio for transcription. Download a model once and transcribe offline. Choose optional cloud processing or bring your own API key.
On the analytics side, OpenWhispr for iOS competes within iOS, Productivity, Open Source and GitHub — topics that collectively have 885k followers on Product Hunt. The dashboard above tracks how OpenWhispr for iOS performed against the three products that launched closest to it on the same day.
Who hunted OpenWhispr for iOS?
OpenWhispr for iOS was hunted by Joshua Padoa. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of OpenWhispr for iOS including community comment highlights and product details, visit the product overview.
Joshua Padoa
Hey Product Hunt — Josh from OpenWhispr here 👋
OpenWhispr is on iPhone and iPad, and today we’re bringing it to Product Hunt.
It’s 100% open source, with local models that let you transcribe on your device for free, without usage limits or an account.
Right now, you can:
• Write with your voice in any app
• Draft messages with your voice assistant
• Adjust your writing’s tone to match your vibe
• Record and transcribe conversations
• Sync your notes with desktop on Pro
• Choose on-device transcription, OpenWhispr Cloud or your own API key for supported workflows
Already on Pro? Just sign in. Mobile is included. On-device transcription stays free and unlimited; the voice assistant uses Cloud or your own API key.
For the developers here: on-device transcription uses NVIDIA’s Parakeet through FluidAudio and Apple’s Core ML and Neural Engine, plus OpenAI’s Whisper through whisper.rn/whisper.cpp. The app chooses the engine based on your selected languages and downloaded models.
Speaker labeling runs locally too. Saved voice profiles help recognise familiar speakers across recordings: strong matches get a name automatically, while uncertain matches become suggestions you can confirm. The profiles and matching stay on your device.
Give it a try and tell us what works, what doesn’t, or what you’d like us to add. We’re here to improve it with you.
Thanks for being early,
Josh and the OpenWhispr team