How to Organize Your Video Projects in OpenClip
Keep your video repurposing workflow clean, efficient, and scalable — whether you're managing one show or dozens of clients.
Prerequisites
- An active OpenClip account
- At least one long-form video uploaded or ready to upload
- A basic understanding of OpenClip's batch processing feature
Steps
Establish a consistent naming convention
Before uploading any video, decide on a naming system you'll use for every project. A good format includes the client or show name, episode or date, and content type — for example: 'ClientName_EP42_Podcast_2024-06'. Consistent naming makes it easy to search, sort, and hand off files later.
Tip: Avoid spaces and special characters in file names. Use hyphens or underscores instead to prevent compatibility issues across platforms.
Group videos by series or campaign
When uploading to OpenClip, use batch processing to group related videos together. A podcast series, a weekly YouTube show, or a product launch campaign should each be treated as a distinct batch. This keeps clip candidates logically grouped and makes review much faster.
Tip: OpenClip can yield 5–15 clip candidates per video. Grouping by series means you can compare clip quality across episodes at a glance.
Use descriptive labels for clip candidates
When reviewing your AI-generated clip candidates, rename or label each one based on its content — not just its timestamp. A clip called 'Why_Most_Creators_Fail_Hook' is far more useful than 'clip_003'. This makes it easy to prioritize which clips to export and which to archive.
Tip: Include the platform target in the label if you plan to export in multiple formats, e.g., 'Hook_TikTok' vs 'Hook_LinkedIn'.
Organize exports by platform and format
Create a local folder structure that mirrors your export destinations. For example: /ClientName/EP42/TikTok/, /ClientName/EP42/Shorts/, /ClientName/EP42/LinkedIn/. When you export clips from OpenClip in different aspect ratios (9:16 vertical), drop them into the correct folder immediately rather than sorting later.
Tip: Export vertical (9:16) clips first — these are the most versatile and work across TikTok, Reels, and Shorts.
Archive source files with clip references
Keep your original long-form video files alongside a simple reference document (spreadsheet or text file) that lists which clips were extracted, their timestamps, and their export status. This makes it easy to go back and pull additional clips from old videos without re-processing everything.
Tip: A simple Google Sheet with columns for video title, clip name, timestamp, format, and publish status can save hours of searching later.
Review and purge low-priority clip candidates regularly
AI-generated clip candidates accumulate quickly. Set a recurring schedule — weekly or per project — to review candidates, approve keepers, and delete or archive clips you won't use. This keeps your working environment clean and ensures you're always looking at your best content.
Tip: If you're using OpenClip for multiple clients, do a cleanup pass at the end of each client's deliverable cycle to prevent cross-project confusion.
What You'll Achieve
A clean, scalable project organization system that makes it easy to find, review, and deliver video clips across clients, shows, and platforms.
Features
Batch Processing
Upload and process multiple videos at once to keep series and campaigns organized together
AI Clip Detection
Automatically surfaces 5–15 clip candidates per video so you always have material to work with
Vertical Short-Form Export
Export the same clip in 9:16 vertical to serve every platform from one source
Fast Turnaround
AI processing speeds up the review cycle so you spend time organizing, not waiting
Scalable Workflow
Designed for creators and agencies managing high volumes of content across multiple clients
Consistent Output
Repeatable naming and folder conventions protect quality and reduce errors at scale
Frequently Asked Questions
Get Your Video Workflow Organized Today
Start using OpenClip to process, organize, and export your video clips at scale — no editing experience required.