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Description
ClipMe transforms a single lengthy stream from platforms like Kick, Twitch, or YouTube into as many as 100 short, captioned clips, all while the streaming is still ongoing. Unlike the conventional approach that relies on a delayed process—waiting for the video-on-demand (VOD) to be available, generating a transcript, and then providing creators with a chaotic assortment of potential highlights—ClipMe innovates by utilizing live HLS feeds from Kick and Twitch, allowing for the extraction of a streamer's best moments in real-time, complete with captions, reformatting, and ranking before the broadcast concludes. Many clipping tools neglect Kick due to its lack of a public API for stream integration, but ClipMe’s unique engineering solution fills this gap, making it a strong competitor in the market. Its advanced detection system does not solely rely on transcripts; instead, it evaluates every second of the stream against 18 proprietary metrics, including chat activity, a crucial factor often overlooked by other clipping services, resulting in a curated list of notable moments rather than just a random assortment of clips. This innovative approach not only enhances the content creation process but also significantly improves the efficiency and effectiveness of highlight generation for streamers.
Description
Segmentation is a technique employed in Print and Broadcast Media that has traditionally relied on manual methods. However, RUZIVO has transformed this practice by introducing automation through Machine Learning, which not only enhances precision but also significantly reduces both time and expenses. The Segmentation process developed by RUZIVO involves identifying the beginning and end markers of radio clips and images intended for Broadcast and Print. In this phase, it is assessed whether the content—be it an image, video, audio clip, or email—qualifies as an advertisement. Once classified as either Ads or non-Ads, various media formats are then cross-referenced with an archive to identify whether they are new or duplicates. This step is crucial, as duplicates are cataloged while new Ads are sorted into categories based on industry, type, and any other client-specific criteria. The automation of the Classification process by RUZIVO has significantly expedited the time it takes for clients to become aware of new advertisements in their chosen categories, resulting in a more streamlined workflow. Consequently, clients can now respond more swiftly to advertising trends and changes in their respective markets.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Instagram Reels
TikTok
YouTube Shorts
Pricing Details
$0 (free tier); Pro $29/month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ClipMe
Founded
2026
Country
United States
Website
clipme.com
Vendor Details
Company Name
Data-Core Systems
Founded
1988
Country
United States
Website
www.ruzivomedia.com
Product Features
Product Features
Marketing Automation
A/B Testing
Analytics / ROI Tracking
Artificial Intelligence
Content / Blogging Platform
Customizable CTAs
Drip Campaigns
Dynamic Content
Landing Pages / Web Forms
Lead Scoring
Sales Intelligence
Search Marketing
Segmentation
Social Marketing
Website Visitor Tracking
