Clipto: Mac-based AI transcription and knowledge assistant that indexes and searches meetings, interviews, podcasts, lectures, and other audio/video locally on-device. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Clipto when creators and editors transcribing and searching large libraries of footage, podcasts, and interviews matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Mac-based AI transcription and knowledge assistant that indexes and searches meetings, interviews, podcasts, lectures, and other audio/video locally on-device.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Clipto is an AI-powered transcription and knowledge assistant built exclusively for Mac that functions as a fully local, searchable media library for audio and video. It transcribes and indexes a range of content including videos, audio files, podcasts, meetings, interviews, and lectures, with automatic transcription, speaker labeling, and AI summaries that condense long recordings. Its standout capability is search: users can run natural-language queries across large volumes of media, jump to exact timecodes for spoken dialogue, and surface people, scenes, and objects across their library. Processing is fully local and works offline with no cloud uploads, which the product positions as a privacy-focused architecture for creators and professionals who manage large media collections. Clipto integrates with creative and storage tools, including Adobe Premiere Pro, Dropbox, Google Drive, NAS, and local folders, and offers auto-tagging to keep footage organized. It targets content creators such as photographers, video editors, filmmakers, agencies, and marketers, but its transcription of meetings and interviews makes it relevant for capturing and revisiting conversations as well. The app is actively operating, requires Apple Silicon Macs with sufficient memory and a recent macOS version, and also offers an iOS app. Free and paid plans are referenced. Pricing varies by plan. Check the official website for current pricing.
Best suited for
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Clipto is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Clipto | WhisperLiveKit |
|---|---|---|
| Core capability | On-device AI transcription with no cloud uploads, works offline | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Automatic speaker labeling in transcripts | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | One-click AI summaries of long recordings | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Natural-language search across large media libraries with timecode jumping | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Scene, object, and person recognition across content | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Integrations with Adobe Premiere Pro, Dropbox, Google Drive, NAS, and local folders | Voice activity detection and multi-user support on a single backend |
Clipto
Choose Clipto if you need creators and editors transcribing and searching large libraries of footage, podcasts, and interviews — strengths include fully local, offline processing for privacy-conscious users.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Clipto
WhisperLiveKit
It depends on your workflow. Clipto is strong for creators and editors transcribing and searching large libraries of footage, podcasts, and interviews, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Clipto is a free tier with paid upgrades and WhisperLiveKit is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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