{"repo":"TheAcharya/MarkerData","free":true,"listed":false,"github":"https://github.com/TheAcharya/MarkerData","clone":"git clone https://github.com/TheAcharya/MarkerData.git","description":"The avant-garde Marker extraction application crafted for Final Cut Pro","language":"Swift","stars":67,"topics":["fcp","fcpx","fcpxml","final-cut-pro-x","gif","macos","macos-application","airtable","database","gifs"],"license":"MIT","category":"databases-storage","readme_excerpt":"Marker Data       Marker Data allows users to extract, convert & create databases from Final Cut Pro ’s Marker metadata effortlessly. Marker Data uses MarkersExtractor Library. Core Features - Functionality allowing batch extraction and rendering of stills or animated GIFs based on each Marker's timecode. - Automatically analyse and embed colour swatches from extracted images for shot reference. - Integrates with Final Cut Pro, boasting a native Share Destination & Workflow Extension. - Precise extraction of Markers, ensuring an accurate representation of metadata. - Native integration with renowned databases such as Notion and Airtable. - Effortlessly synchronise Final Cut Pro's Marker metadata to cloud databases with a single click. - Versatile features for batch burning-in labels, embedding comprehensive metadata of each Marker onto stills or animated GIFs. - Comprehensive timeline functionality, encompassing support for timelines such as Projects and Compound Clips. - Allows the creation of multiple configurations tailored to diverse project requirements. - Harnesses the potential to utilise Captions as Markers, adding a layer of flexibility. - Convert Markers into shareable, professional PDFs via Pagemaker. - Written in Apple Swift language and SwiftUI framework. - Application is Notarised by Apple. Avaliable Extract Profiles - Notion (JSON) - Airtable (JSON) - Comma-separated values (CSV) - Compatible with spreadsheet applications - Tab-separated values (","default_branch":null,"files":null,"tree":[],"storefront":"/r/TheAcharya","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/TheAcharya/MarkerData/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}