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What is RUZIVO?

Segmentation is a method utilized in Print and Broadcast Media that has historically depended on manual techniques. RUZIVO has revolutionized this approach by implementing automation through Machine Learning, which not only improves accuracy but also greatly decreases both time and costs. The Segmentation process established by RUZIVO consists of pinpointing the start and end indicators of radio clips and images meant for Broadcast and Print. During this stage, it is determined if the content—whether it’s an image, video, audio clip, or email—meets the criteria to be classified as an advertisement. After being categorized as either Ads or non-Ads, various media formats are then compared with a database to ascertain if they are fresh content or duplicates. This particular step is essential, as duplicates are documented while new Ads are organized into categories according to industry, type, and any specific criteria set by clients. The automation of the Classification process by RUZIVO has markedly sped up the time it takes for clients to become aware of new advertisements in their selected categories, leading to a more efficient workflow. As a result, clients can now react more promptly to evolving advertising trends and shifts in their respective markets, ultimately enhancing their strategic decision-making. Additionally, this streamlined method empowers clients to remain competitive and agile in a rapidly changing media landscape.

What is Cliphi?

Cliphi is a digital platform that enables content creators to efficiently convert long videos into short, engaging clips suitable for social media. Users can upload their videos or share links, and then Cliphi takes care of transcribing the audio, identifying key segments, and producing vertical video formats. With a variety of editing tools, it offers features such as audio-synchronized captions, speaker recognition framing, and customizable titles and hooks, along with branding options that include logos, colors, fonts, and introductory sequences. The platform also supports real-time clipping from live streams, allowing users to create content on the fly during broadcasts. Furthermore, creators can prepare their videos for immediate sharing or schedule them across multiple platforms like YouTube Shorts, TikTok, Instagram Reels, Facebook, Threads, and X. Designed to be user-friendly, Cliphi is accessible via a web interface and an Android app, providing various subscription plans and credit-based options to suit different user needs. This adaptability not only enhances the usability of Cliphi but also helps users significantly extend the reach and interaction of their video content on social media channels. Ultimately, Cliphi stands out as a valuable resource for anyone aiming to leverage their video content effectively in the digital landscape.

Media

Media

Integrations Supported

Integrations Supported

Facebook
Instagram Reels
Model Context Protocol (MCP)
Threads
TikTok
X (Twitter)
YouTube Shorts

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$4.99/month
For visitors outside India, Explorer is $4.99/month for 1,200 credits, Starter is $9.99/month for 2,500 credits, and Pro is $29.99/month for 8,500 credits. One-time credit packs start at $4.99. Subscriptions renew monthly and can be canceled anytime. Credits do not expire while the account exists. Prices vary by region.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Data-Core Systems

Date Founded

1988

Company Location

United States

Company Website

www.ruzivomedia.com

Company Facts

Organization Name

Cliphi

Date Founded

2025

Company Location

India

Company Website

www.cliphi.com

Categories and Features

Marketing Automation

Not specified

Categories and Features

AI Video Editors

Not specified

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