ClipForge
Interface illustration — [ADD REAL PROJECT SCREENSHOT]
ClipForge is a software product developed by Rashid LLC that helps creators and marketing teams get short-form content out of long-form video they have already recorded.
The platform handles the pipeline end to end: transcription, identifying self-contained segments, reframing to vertical, and producing captioned clips for publishing.
Long-form video contains a lot of publishable short-form content, but extracting it manually is slow: watch back, find a segment that stands on its own, cut, reframe, caption, export.
Automating it is a systems problem as much as an AI one — media processing is expensive, long-running and prone to failure partway through a job.
A job-based processing pipeline where each stage — transcription, segment selection, rendering — is a separate, retryable unit of work with its own queue.
Language models score transcript segments for whether they stand alone, and the results feed a render stage that reframes to vertical and burns in captions.
The interface is built around long-running jobs: progress is visible per stage, and failures surface where they happened rather than as a generic error.
- Video upload with automatic transcription
- AI-assisted selection of self-contained segments
- Automatic vertical reframing for short-form platforms
- Generated, editable captions burned into the export
- Queue-based processing with per-stage progress and retries
- Clip library with export presets
- [ADD REAL CASE STUDY OUTCOME — replace once results are measured]
We publish outcome figures only once they have been measured. Nothing on this page is estimated or projected.
Project details
- Type
- In-house product
- Category
- AI / SaaS
- Status
- In development
Technology
- Python
- FastAPI
- Next.js
- TypeScript
- FFmpeg
- LLM APIs
- Redis
- AWS S3
Services involved
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