Transcript-based clip discovery
Transcribes video audio with WhisperX and analyzes the transcript to identify candidate clip start and end times.
Clips AI
Freemium
An open-source Python library that helps developers turn longform video into clips and reframed formats.
Clips AI란 무엇인가요?
Clips AI is an open-source Python library for repurposing longform video. Developers can use it to identify segments from a video's transcript and create clips, then dynamically reframe video for alternate aspect ratios such as 9:16. Its workflow is aimed at audio-centric, narrative videos where spoken content and the active speaker guide editing.
Clips AI(으)로 무엇을 할 수 있나요?
Clip segmentation
Finds multiple segments in a long video, returning start and end times that can be used to trim the original footage.
Dynamic reframing
Resizes video to a requested aspect ratio, such as 9:16, by generating crops that follow the current speaker.
Speaker diarization for resizing
Uses Pyannote for speaker diarization as part of the video-resizing workflow; a Hugging Face access token is required.
Python library workflow
Provides programmatic functionality through Python imports, including Transcriber, ClipFinder, and resize.
사용 사례
“Podcast highlight clips”
Identify self-contained spoken segments from a long podcast recording for trimming into shorter clips.
“Interview excerpts”
Use transcript-led segment discovery to locate answers or discussion sections worth publishing separately.
“Speech and sermon repurposing”
Find passages in speeches or sermons and prepare them as individual clips from a longer recording.
“Vertical video versions”
Reframe existing footage to a portrait aspect ratio, with crops dynamically focused on the active speaker.
자주 묻는 질문
What kinds of videos is Clips AI designed for?
It is designed for audio-centric, narrative videos, including podcasts, interviews, speeches, and sermons.
How does clip discovery work?
The video must first be transcribed. The documented workflow uses WhisperX, then passes the transcription to ClipFinder to identify clip segments and their timestamps.
Can it make vertical video?
Yes. The resize function accepts a target aspect ratio, with 9:16 shown as an example, and dynamically reframes around the current speaker.
What is needed to resize video?
The resizing workflow requires a Pyannote access token obtained through Hugging Face for speaker diarization. The site states that Pyannote usage is not charged.
주요 정보
- Product type
- Open-source Python library
- Primary users
- Developers
- Input workflow
- Transcribe video audio before finding clips
- Transcription component
- WhisperX
- Resizing component
- Pyannote speaker diarization; Hugging Face access token required
Clips AI 트래픽 분석
트래픽 데이터는 참고용으로만 확인하세요.
- 도메인 평점
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