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GeekLink AI Subtitle Factory is a batch subtitle production line for macOS. Most subtitle tools process one video at a time. GeekLink processes all of them at once โ speech recognition, OCR extraction, translation, editing, and export โ in a single continuous pipeline. Import 2 videos or 200. Configure once. Click Run. Walk away.
Features: - Batch-first workflow: import your entire video library at once and process all videos with one progress bar. - AI speech recognition: built-in multilingual engine supporting 14 languages, with real-time subtitle preview and ETA display. - OCR subtitle extraction: extract hardcode subtitle. - Multi-engine translation: DeepSeek AI, Claude, or any OpenAI-compatible API. Custom prompts and terminology glossary to protect proper nouns. - Full subtitle editor: search, merge, split, millisecond-precision time editing, and per-segment re-recognition. - Two export modes: toggleable subtitles (SRT/TXT) or burned-in subtitles directly into video files. - Watch Folder automation: drop videos into a monitored folder and subtitles are generated automatically. - 100% local and private: videos never leave your Mac. No cloud uploads, no per-minute fees. - Optimized for Apple Silicon (M1/M2/M3/M4).
Hashnode GeekLink.devGeekLink.dev's answer:
GeekLink is a batch-first subtitle factory โ not a single-video editor. Most subtitle tools process one video at a time. GeekLink lets you import dozens or hundreds of videos at once and run them through a complete pipeline (speech recognition, OCR extraction, AI translation, subtitle styling, and export) in a single continuous workflow. Everything runs 100% locally on your Mac โ your videos never leave your device.
GeekLink.dev's answer:
Three reasons: batch scale, local privacy, and all-in-one workflow. Competitors either process one video at a time (CapCut, Subtitle Edit), require cloud uploads (Veed, Kapwing), or only handle one step like transcription without translation and burn-in. GeekLink combines speech-to-text, OCR, AI translation (13+ languages), a style editor, and video export into one app โ no subscriptions, no per-minute fees, no data leaving your machine. Import 50 videos, configure once, click Run.
GeekLink.dev's answer:
Content creators who work with video at scale: YouTube creators localizing their channels into multiple languages, short drama studios translating 50-80 episodes for international distribution, educators adding subtitles to course libraries, and media companies processing large video catalogs. Anyone who needs subtitles on more than a handful of videos and doesn't want to pay per minute or upload to the cloud.
GeekLink.dev's answer:
GeekLink started from a personal frustration: translating video content across languages was painfully slow and expensive. Every tool on the market made you process one video at a time, upload to someone else's cloud, or pay per minute. I built GeekLink to solve this for myself first โ a local app that could chew through an entire video library in one sitting. The "Subtitle Factory" concept clicked: import raw videos on one end, get fully subtitled exports on the other. I shipped the first beta in early 2026 and have been iterating based on real user feedback ever since.
GeekLink.dev's answer:
Python for the core engine, FFmpeg for video processing, and large language models for AI translation. The app is built as a native macOS application optimized for Apple Silicon (M1โM4) with on-device acceleration.
GeekLink.dev's answer:
As a creator and developer, I was frustrated with the current state of video localization on Mac. Most tools are either clunky Windows ports that lag on Apple Silicon or expensive cloud services that charge per-minute fees and compromise data privacy.
I built GeekLink to be a true "Production Line" for video creators. Unlike typical editors that process one file at a time, GeekLink is built for high-volume workflows.
We are currently in Free Beta. If you are a professional studio or a niche content creator looking for a native, private, and efficient way to handle subtitles, Iโd love for you to try it out and share your feedback!
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