Clipto: Mac-based AI transcription and knowledge assistant that indexes and searches meetings, interviews, podcasts, lectures, and other audio/video locally on-device. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. The right pick comes down to team size, budget, and the workflows you want to automate.
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 Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Run both through a week of actual calls to see which suits your workflow.
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 AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
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
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Clipto is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Clipto | Scriberr |
|---|---|---|
| Core capability | On-device AI transcription with no cloud uploads, works offline | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Automatic speaker labeling in transcripts | Automatic speaker diarization (who said what) |
| Team usage | One-click AI summaries of long recordings | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Natural-language search across large media libraries with timecode jumping | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Scene, object, and person recognition across content | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Integrations with Adobe Premiere Pro, Dropbox, Google Drive, NAS, and local folders | Folder watcher and API endpoints for automation workflows |
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.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Clipto
Scriberr
It depends on your workflow. Clipto is strong for creators and editors transcribing and searching large libraries of footage, podcasts, and interviews, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Clipto is a free tier with paid upgrades and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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