Clips AI
Open-source Python library that converts longform videos into clips automatically.
Pricing
About Clips AI
Clips AI is an open-source Python library designed to automatically convert longform video content into multiple shorter clips. It's specifically built for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons. The tool uses two core algorithms: a clipping algorithm that analyzes a video's transcript to identify and create clips, and a resizing algorithm that dynamically reframes videos to focus on speakers, converting content between different aspect ratios (16:9 to 9:16). This makes it particularly valuable for content creators looking to repurpose long-form content for social media distribution. The tool requires installation of Python dependencies along with FFmpeg and libmagic, which may present a setup barrier for non-technical users unfamiliar with command-line interfaces.
At a glance
- Company
- Clips AI, Inc.
- Platforms
- Python library (cross-platform via Python), API
- Integrations
- WhisperX (transcription), Pyannote (speaker diarization), FFmpeg (video processing), Hugging Face (for Pyannote access)
- Last verified
- July 2026
Who It's For
- •Developers and technical users comfortable with Python and command-line interfaces
- •Podcast creators and hosts looking to repurpose content for social media
- •Content creators managing multiple social media platforms
- •Teams producing high-volume longform video content
- •Organizations seeking self-hosted, open-source alternatives to commercial video editing tools
- •Users who want free, unlimited video processing without subscription costs
How It Works
- 1Transcribes video content using WhisperX (an enhanced wrapper on OpenAI's Whisper) to generate detailed transcripts with word-level timing
- 2Analyzes the transcript using its clipping algorithm to identify and mark optimal clip segments based on narrative structure
- 3Extracts identified clips by trimming the original video to the determined start and end times
- 4For resizing, uses Pyannote for speaker diarization to detect and track speakers throughout the video
- 5Dynamically reframes video to focus on active speaker, converting between aspect ratios (16:9 to 9:16) for different social media platforms
How to Use Clips AI
- 1Install the package via pip along with whisperx and system dependencies (FFmpeg, libmagic)
- 2Import ClipFinder and Transcriber classes from the clipsai library
- 3Transcribe video using the Transcriber.transcribe() method with path to video/audio file
- 4Use ClipFinder.find_clips() method with the transcription to identify clip segments
- 5Access clip timing data via start_time and end_time properties of returned clip objects
- 6For video resizing, import the resize function and provide video path, Pyannote auth token, and desired aspect ratio
- 7Use MediaEditor to trim original video based on clip timings, outputting individual clip files
Key Features
- •Automatic clip detection from longform video using transcript analysis
- •Video resizing with dynamic speaker-focused reframing
- •Multiple aspect ratio conversion (16:9 to 9:16 and others)
- •Transcript-based clip segmentation with word-level timing precision
- •Speaker diarization for identifying who is speaking at any moment
- •Open-source Python library with customizable code
- •Integration with WhisperX for accurate transcription
- •Integration with Pyannote for speaker detection
Use Cases
- •Converting podcast episodes into short social media clips for platforms like TikTok, YouTube Shorts, and Instagram Reels
- •Breaking down long interviews or speeches into highlight clips for distribution across multiple channels
- •Repurposing longform content into vertical video format for social media consumption
- •Automating the clip creation workflow for content creators managing high volume output
- •Adapting existing video archives to multiple social media platforms without manual editing
Pros & Cons
Advantages
- •Completely free and open-source with no subscription fees or usage limits
- •Purpose-built for longform content repurposing with specialized algorithms for narrative-based videos
- •Full control over code since it's open-source, allowing for customization and integration into existing workflows
- •Eliminates manual clip finding by automating the tedious task of identifying highlights from transcripts
Disadvantages
- •Requires technical setup including Python, FFmpeg, and libmagic installation, making it inaccessible to non-technical users
- •Dependent on external services and accurate transcription quality (WhisperX) and speaker detection (Pyannote) for reliable results
- •Designed primarily for audio-centric videos; effectiveness may be limited for heavily visual or graphics-heavy content
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Frequently Asked Questions
What is Clips AI?
Clips AI is an open-source Python library designed to automatically convert longform video content into multiple shorter clips. It's specifically built for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
How much does Clips AI cost?
Clips AI has a free plan; paid plans start at $25.
Is Clips AI free?
Yes, Clips AI offers a free plan you can start with.
What are the best Clips AI alternatives?
Popular Clips AI alternatives include HiClip, Klipme, Opus Clip.
What is Clips AI used for?
Clips AI is commonly used for Converting podcast episodes into short social media clips for platforms like TikTok, YouTube Shorts, and Instagram Reels, Breaking down long interviews or speeches into highlight clips for distribution across multiple channels, Repurposing longform content into vertical video format for social media consumption.
What platforms does Clips AI support?
Clips AI is available on Python library (cross-platform via Python), API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.