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Tools & Frameworks
This section of the site is dedicated third party developer tools and frameworks.
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Airlift
Airlift provides and automated method to upload & merge *.csv or *.json data files with attachments to Airtable database.
Some of the core features include :
- Automated uploading of
.csvor.jsondata to Airtable - Ability to update and auto-create new entries for single select field and multiple select field
- No subscription of third party platform required
- Ability to upload attachments via build-in Dropbox client
- Ability to upload attachments to multiple attachment columns
- Uses long-lived refresh token for Dropbox client
If you are a FCP user or developer who is trying to send or upload data to Airtable, you can use our tool!
Spearheaded by Vigneswaran Rajkumar.
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CSV2Notion Neo
CSV2Notion Neo provides an advance method to upload & merge *.csv or *.json files with images to Notion database.
Some of the core features include :
- Merge CSV or JSON with the existing database, using the first column as a key to combine existing rows
- Choose column types manually instead of letting Notion detecting them automatically
- Link or create new entries in relation columns based on their values automatically
- Easily upload files into the designated "Files & Media" column
- Assign a icon for each row for quick identification
- Set a cover or embed an image for each row to enhance visual representation
- Upload image files for covers or icons
If you are a FCP user or developer who is trying to send or upload data to Notion, you can use our tool!
Spearheaded by Vigneswaran Rajkumar.
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FxCore
FxCore is a node-based compositing engine inspired by Quartz Composer and designed for the demanding workloads of visual effects hosted by video applications.
FxCore powers the most advanced products you see in FxFactory, providing Metal GPU acceleration to our plugins running in Final Cut Pro, Premiere Pro, After Effects and Motion.
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FxKit
An open-source (MIT License) Swift implementation of FxPlug plugins for Final Cut Pro and Apple Motion.
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MarkersExtractor (CLI & Library)
MarkersExtractor is Marker metadata extraction and conversion tool for Final Cut Pro. It is both a CLI Tool and an API Library.
Some of the core features include :
- Accurately extract Markers from FCP's FCPXML/FCPXMLD
- Ability to batch extract and render stills or animated GIFs based on each marker's timecode
- Ability to batch burn-in labels of each marker's metadata onto the stills or animated GIFs
Spearheaded by Vigneswaran Rajkumar.
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OpenTimelineIO
OpenTimelineIO is an interchange format and API for editorial cut information. OTIO contains information about the order and length of cuts and references to external media. It is not however, a container format for media.
For integration with applications, the core OTIO library is implemented in C++ and provides an in-memory data model, as well as library functions for interpreting, manipulating, and serializing that data model. Within the core is a dependency-less library for dealing strictly with time, opentime.
The project also supports an official python binding, which is intended to be an idiomatic and ergonomic binding for python developers. The python binding includes a plugin system which supports a number of different types of plugins, most notably adapters, which can be used to read and write legacy formats into the OTIO data model.
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Pipeline Neo (CLI & Library)
Pipeline Neo is modern Swift 6 framework for working with Final Cut Pro's FCPXML with full concurrency support and SwiftTimecode integration. Pipeline Neo is a spiritual successor to the original Pipeline, modernised for Swift 6.0 and contemporary development practices.
Pipeline Neo provides a comprehensive API for parsing, creating, and manipulating FCPXML files with advanced timecode operations, async/await patterns, and robust error handling. Built with Swift 6.0 and targeting macOS 12+, it offers type-safe operations, comprehensive test coverage, and seamless integration with SwiftTimecode for professional video editing workflows.
Pipeline Neo is currently in an experimental stage and does not yet cover the full range of FCPXML attributes and parameters. It focuses on core functionality while providing a foundation for future expansion and feature completeness.
This codebase is developed using AI agents.
Important
Pipeline Neo has yet to be extensively tested in production environments, real-world workflows, or application integration. This library serves as a modernised foundation for AI-assisted development and experimentation with FCPXML processing capabilities. Additionally, this project would not be actively maintained, so please consider this when planning long-term integrations.
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Core Features
- Read, create, and modify FCPXML documents via a protocol-oriented API (resources, events, projects, sequences).
- Load single .fcpxml files or .fcpxmld bundles (FCPXMLFileLoader; sync and async).
- Parse and validate against bundled DTDs (1.5–1.14): structural/reference validation and DTD schema validation.
- Typed access to resources, events, clips, and projects (helpers and APIs).
- Timecode and timing with SwiftTimecode: CMTime, Timecode, FCPXML time strings; all FCP frame rates; frame-boundary conform.
- Typed element filtering (FCPXMLElementType; multicam vs compound inferred from structure).
- Cut detection on project spines: edit points (hard cut, transition, gap) and same-clip vs different-clips; sync and async.
- Version conversion: convert to a target version (e.g. 1.14 → 1.10), strip elements not in target DTD, validate; save as .fcpxml or .fcpxmld (bundle from 1.10+).
- Per-version DTD validation against a chosen version or the document’s declared version.
- Media extraction and copy: extract asset/locator URLs, copy to a directory with deduplication; sync and async.
- Timeline and export: build Timeline, export to FCPXML string or .fcpxmld bundle (optional media copy).
- Experimental CLI:
pipeline-neowith--check-version,--convert-version,--extract-media(see CLI README). - Sync and async APIs; dependency-injected, concurrency-safe design for Swift 6.
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SubtitleKit
Package for creating, modifying, and managing subtitle files, such as SubRip (.srt).
Supported formats
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swift-daw-file-tools
A Swift library for reading and writing common import/export file formats between popular DAW and video editing applications with the ability to convert between formats.
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Supported File Formats
† Full read/write support for Cubase Track Archive XML files is implemented for marker tracks only at this time, and only when in absolute timebase or musical timebase where the tempo track uses only 'Jump' tempo events and there are no 'Ramp' tempo events. Full support for all track and event types may come in a future version of this library on an as-needed basis.
‡ Research is needed for Logic Pro X to determine what file formats are common and the viability of their implementation.
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swift-timecode
The most robust, precise and complete Swift library for working with SMPTE timecode. Supports 22 industry timecode frame rates, including conversions to/from timecode strings and offering timecode-based calculations.
Timecode is a standard for representing video frames and used for video burn-in timecode (BITC), or display in a DAW (Digital Audio Workstation) or video playback/NLE applications.
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SwiftSecuencia
SwiftSecuencia provides a type-safe, Swift-native API for creating and exporting media timelines. Build timelines programmatically and export to professional formats for Final Cut Pro, audio production, and more.
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Vuo
Vuo is a visual programming tool using patches and 'noodles' to construct a composition that will process video. Those compositions will be able to be published directly for use within FCPX. You can build effects, generators and transitions.
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XLKit
XLKit is a modern Swift library for creating and manipulating Excel (.xlsx) files on macOS and iOS. XLKit provides a fluent, chainable API that makes Excel file generation effortless while supporting advanced features like image embedding, CSV/TSV import/export, cell formatting, and both synchronous and asynchronous operations. Built with Swift 6.0 and targeting macOS 12+ and iOS 15+, it offers type-safe operations, comprehensive error handling, and security features. iOS support is available and tested in CI/CD.
Created by Vigneswaran Rajkumar.
Want to contribute? Learn more here!