Tools that don't upload your dataWorks with Whisper

5 match your filters — 5 of them answered our check today.

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LeLuca

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Records and transcribes Mac meetings entirely on-device, then turns them into searchable AI notes, for people who don't want audio leaving their machine.

FreeWorks offlineData stays with youCan export my data
What to know
How it works
records mic+system audio, transcribes locally with Whisper, generates TL;DR/decisions/action items
What's different
100% on-device transcription, optional bring-your-own ChatGPT/Claude for notes
Pricing
free on Mac App Store
Best for
Mac users who need private meeting notes

Watched for 4 days · last checked today

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An open-source toolkit for building AI features — chat, RAG, speech, vision — that runs entirely in the browser with no servers and no data leaving the device. Built for developers.

Domain registered 7 months ago

Works offlineData stays with youOpen source
What to know
How it works
An open-source toolkit for running AI entirely in the browser: LLM chat across 76 models, RAG and vector search, Whisper and Kokoro speech, and vision, with no server or API key required. Runs on WebGPU with a WebAssembly fallback.
What's different
Data never leaves the device, and it ships a zero-dependency core plus a shadcn UI registry of 107 components and 36 installable blocks for building on top of it.
Pricing
Open source (MIT license).
Best for
Developers building browser-based AI features without standing up servers or managing API keys.

Watched for 12 days · last checked 1d ago

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Turns an audio clip into a captioned waveform video for social platforms entirely in-browser, with auto-captions from local Whisper AI, so audio never leaves the device.

FreeNo sign-upData stays with youCan export my data
What to know
How it works
In-browser reactive waveform visualizer plus Whisper-based auto-captions; exports MP4.
Pricing
Free, no signup, no watermark.
Best for
Podcasters making audiogram clips for Instagram/TikTok/YouTube.

Watched for 2 days · last checked 1d ago

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Runs speech and visual AI models locally to auto-generate YouTube chapter timestamps — free, no upload, no signup, built for YouTubers who don't want to type timestamps by hand.

FreeNo sign-upWorks offlineData stays with you
What to know
How it works
You upload a video and it uses Whisper for audio and Moment-DETR for visual analysis to detect natural chapter breaks, then outputs timestamps to paste into a YouTube description.
What's different
Cross-validates chapter breaks using both audio (Whisper) and visual detection, rather than relying on one signal; on a 68-minute test video it got 18 of 19 chapters correct.
Pricing
Free, no signup.
Best for
YouTubers who don't want to manually type out chapter timestamps.
Watch out
The 18/19 accuracy figure comes from a single 68-minute test video, not a broad benchmark.

Watched for 13 days · last checked 7d ago

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Offline on-device speech to text for Mac and Windows

No sign-upWorks offlineData stays with you

First seen today · last checked today

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