Scriber Pro: Offline AI transcription app for macOS with no cloud uploads.

What it does

Scriber Pro is a macOS application that transcribes audio and video files using AI without uploading to the cloud. The app processes media files locally on the user's device. It supports MP3, WAV, MP4, MOV, M4A, and FLAC formats. Output can be exported in multiple formats: SRT, VTT, JSON (with timestamps), PDF, DOCX, TXT, Markdown, CSV, and JSON.

Who it is for

The app targets macOS users who need to transcribe long audio or video files and have privacy concerns about cloud-based services. It appeals to people working with sensitive recordings, those without reliable internet access, and users frustrated by upload limits or processing delays on existing transcription platforms.

Pricing

The site does not show prices.

How it stands out

Scriber Pro emphasizes three technical differences from competitors like Rev and Otter. First, it removes file length restrictions—competitors impose two-hour upload limits, while Scriber Pro handles files of any length. Second, it maintains accurate timecodes on long files without drift or chunking errors, a claim relevant for multi-hour transcriptions. Third, processing happens entirely offline on the user's machine rather than on remote servers.

Speed is presented as a key advantage. The creator measured a 4.5-hour video file transcribed in approximately 3.5 minutes on an M1 Max Mac, and claims this is faster than online services. The offline processing eliminates network latency and upload time inherent to cloud-based competitors.

What a founder should check

Anyone building a competitor should investigate three concrete areas. First, verify the actual transcription quality and accuracy rates on long-form content compared to established players like Whisper, Rev, and Otter. Speed claims need validation across different hardware configurations, not just high-end M1 Max machines. Second, examine switching costs and user lock-in. Consider whether users who have built workflows around existing services face barriers to migration, and whether the export formats Scriber Pro offers are sufficient to reduce those barriers. Third, assess the long-term moat. Local transcription via open-source models like Whisper reduces defensibility compared to proprietary cloud services. This means pricing pressure and feature parity could intensify as competitors add offline capabilities or as Whisper itself improves.

Thinking of building something like this?

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