Parse-Server
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GeekLink.dev
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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).
Parse-Server GeekLink.devParse-Server is recommended for startups, small to medium enterprises, and individual developers seeking a cost-effective backend solution with full control over their infrastructure. It's also ideal for projects that require rapid prototyping and deployment, app developers who need pre-built SDKs, and teams looking to migrate away from Parse's legacy hosted services.
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GeekLink.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!
Based on our record, Parse-Server seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If youโre coming from the Parse ecosystem, it may help to know that Parse itself is a long-running open source backend framework. You can start from the official Parse Platform site, or go deeper with the communityโs Parse Server repository. Our own developer docs are organized around that reality. If you want implementation-level guides, start with our SashiDo Documentation. - Source: dev.to / 5 months ago
If you like headless CMS / Backend As A Service you should consider https://directus.io/ or https://github.com/parse-community/parse-server. Both nodejs and open source. Source: about 4 years ago
There's numerous standard backends which frontenders could use in simplistic cases to start, say https://github.com/PostgREST/postgrest or https://github.com/parse-community/parse-server. Source: over 4 years ago
Parse is still around and supported: https://github.com/parse-community/parse-server. - Source: Hacker News / over 4 years ago
I am curious what backend framework you would choose to run with for prototyping an application with run of the mill user management requirements. That is functionality along the lines of: session management, password policies, password reset, user verifications, etc. Sadly it seems there really aren't any frameworks that have user management natively supported. The only one I am aware of is [Parse... - Source: Hacker News / about 5 years ago
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