This page is designed to help you find out whether ClickClips is good and if it is the right choice for you.
ClickClips is a desktop clipping tool for streamers, gamers, and video creators who work with long recordings and want to spend less time searching for good moments manually. The app can analyze videos using AI Detection, Audio Detection, and Speech Detection to help identify potential highlights. Users can process multiple long videos in batches, review detected clips, adjust clip timing, and export them in vertical or horizontal formats. ClickClips also supports automatic subtitles, webcam and minimap detection, custom layouts, channel branding, hooks, and local AI model workflows. Video processing is performed locally on the user’s Windows PC, without uploading hours of footage to the cloud or relying on usage-based cloud credits. The app is designed as a clipper rather than a full video editor: the main goal is to quickly turn several hours of streams or gameplay into a set of usable clips that can then be published directly or refined further in another editor. ClickClips offers a free plan as well as Pro and Max plans for more advanced detection and processing features.
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AI Highlight Detection
Automatically finds potentially interesting moments in gaming videos using AI models
Audio Detection
Detects highlights based on audio peaks, reactions, shots, screams, and other high-energy moments
Speech Detection
Uses speech recognition to find moments based on spoken words and phrases
Batch Processing
Add multiple long videos and process them sequentially in one workflow
Automatic Clip Creation
Turns detected highlights into separate clips automatically
Vertical Video Layout
Converts horizontal gameplay into vertical clips for Shorts, TikTok, and Reels
Automatic Subtitles
Generates subtitles for detected clips using speech recognition
Webcam Detection
Detects webcam areas and uses them when creating clip layouts
Minimap Detection
Identifies game minimaps and can include them in vertical compositions
Local Video Processing
Processes videos directly on the user’s PC without uploading footage to the cloud
Model Training
Train and manage custom models for specific games or visual patterns
Hooks and Captions
Add short hook text to make clips more suitable for social media
2K and 4K Export
Export clips at higher resolutions when supported by the source video
ClickClips combines AI, audio, and speech-based highlight detection with local desktop processing. It is designed specifically for long gaming recordings and streams, supports batch processing, vertical and horizontal layouts, subtitles, webcam and minimap detection, and does not require users to upload hours of footage to the cloud.
ClickClips is a good fit for creators who want more control over long recordings without relying on cloud credits or upload limits. Videos are processed locally on a Windows PC, users can combine different detection methods, process multiple recordings in batches, review detected clips before rendering, and create both vertical and horizontal outputs.
ClickClips is primarily built for streamers, gamers, and content creators who regularly work with long recordings and want to turn them into shorter clips for YouTube Shorts, TikTok, Instagram Reels, or regular video platforms. It is especially useful for creators who produce a large amount of gameplay footage and want to reduce manual review time.
ClickClips started from a simple problem: reviewing several hours of gameplay just to find a few good moments takes too much time. The project began as a clipping tool and gradually evolved into a desktop application with AI-assisted highlight detection, speech and audio analysis, batch processing, custom layouts, subtitles, and local rendering. The goal has remained the same: make the path from a long recording to usable clips much faster.
ClickClips is built as a Windows desktop application using Python and PySide6. FFmpeg handles video and audio processing, Whisper is used for speech recognition, and PyTorch supports machine-learning workflows for highlight detection and model training. The application is designed around local processing rather than cloud-based video analysis.
ClickClips is currently an early-stage product, and we do not publicly list individual customers yet.
We have collected here some useful links to help you find out if ClickClips is good.
Check the traffic stats of ClickClips on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of ClickClips on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of ClickClips's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of ClickClips on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about ClickClips on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is ClickClips good? This is an informative page that will help you find out. Moreover, you can review and discuss ClickClips here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
