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Cliptate

On-device AI for Mac audio and video creators

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This is 1 of 276 launches in voice dictation and autocomplete tools — see how it stacks up on momentum and crowding →

276 other launches read as similar to this one →

Details

External ID
1277306
Source
PH
Company
—
Product
Cliptate
Website domain
producthunt.com
Launched
Oct. 12, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Artificial Intelligence, GitHub, Audio, Video

Description

Cliptate is a free, open-source macOS workspace for audio and video creators. Transcribe files, dictate text, trim silence, identify speakers, and synthesize or clone voices with speech models running on your Mac. Export captions as SRT, ASS, or VTT and timelines as FCPXML. Built for Apple Silicon, with optional AI correction and translation providers.

Enrichment

Niche
voice dictation and autocomplete tools
Vertical
Media & entertainment
Function
Content generation
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
on-device ai audio and video processing for mac
Manually corrected
False

Could you build this?

Partial The UI and basic wrappers can be prototyped easily, but native macOS on-device optimization with CoreML/Metal, audio DSP silence trimming, and multi-model pipeline execution (Whisper, voice cloning, speaker diarization) require non-trivial native systems programming.

What it would actually take: A real implementation requires Swift/SwiftUI integrated with CoreML and Metal Performance Shaders for low-latency inference on Apple Silicon. The backend stack integrates quantized Whisper models for transcription, PyAnnote for diarization, and on-device TTS/voice-cloning models, alongside AVFoundation for audio signal processing (silence thresholding, waveform rendering) and FCPXML timeline generation. Deep native macOS systems and audio engineering skills are needed to prevent memory pressure crashes.

Competitors

Other products that read as similar to this one — 276 launches clear the similarity bar, closest 8 shown.

Attention rank: #155 of 277 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 340 days after the earliest competitor.

Other launches for this product