Our platform streamlines the management of your local media video library with advanced search and retrieval capabilities, along with in-depth analysis. Additionally, we provide social media analytics, helping you effectively target your audience by analyzing both your and your competitors' videos.
Unleash your creativity with our innovative tool designed to generate good YouTube video ideas tailored to your audience. Whether you’re a seasoned creator or just starting out, our platform provides a wealth of inspiration to keep your content fresh and engaging.
We analyze social media videos, providing detailed reports and statistics on their visual content. This empowers you to target each video more effectively to its intended audience. Contact Us for more information.
The goal of the tool is to streamline and automate tedious manual tasks like tagging, transcribing, and captioning videos, which can be time-consuming processes. By leveraging computer vision and machine learning technologies, the tool can save significant time and effort in video editing and post-production workflows.
For media companies and content creators, producing accurate captions and transcripts is crucial for accessibility and SEO. Our application automates this process, quickly generating transcripts and captions directly from video footage. This not only speeds up the post-production process but also enhances the accessibility of content for hearing-impaired audiences and non-native speakers. Additionally, these transcripts make video content more discoverable via search engines, extending the reach and impact of your content.
Real-World Benefit: Increased audience engagement and compliance with accessibility standards, while reducing the manual effort and time required in post-production.
Libraries, archives, and educational institutions often struggle with managing extensive video resources. Our tool revolutionizes how users interact with these libraries by enabling search and navigation based on detected objects, text, or spoken words within video footage. Whether it’s students searching for specific topics in educational videos or researchers navigating archival content, our application makes finding relevant video segments effortless and precise.
Real-World Benefit: Improved user experience and resource utilization in educational and research settings, facilitating quick access to needed information.
Content managers and digital marketers can benefit greatly from our tool’s ability to automate the tagging and categorization of video clips. By analyzing the content of videos, our application automatically tags them based on themes, objects, and spoken words. This automation supports better content organization and retrieval, enabling effective content management across platforms. It also assists in targeting specific audience segments by aligning video content with user interests and search behaviors.
Real-World Benefit: Streamlined content management processes, enhanced discoverability of video content, and improved targeting for marketing campaigns.
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At QMapper, your data's privacy and security is our utmost priority. All videos handled are processed with the strictest confidentiality standards and are never shared with third parties.
QMapper is designed with user-friendliness in mind. The platform is intuitive, and users can seamlessly navigate and use the tools without any special training. Moreover, we provide detailed tutorials and customer support to assist you at every step.
Our tool uses Google's latest AI algorithm which has been trained on vast datasets to achieve high levels of accuracy in detection tasks. While it can differentiate between a wide range of objects and scenes, we always strive for continuous improvement and welcome feedback to refine our tool even further.
We believe in transparent and fair pricing. Our charges are based on length of the videos and the type of capability for search is selected.
The tool accepts these type of video files
.MOV, .MPEG4, .MP4, .AVI
also Max. 50GB per file and max. 3hrs per file.
It varies based on selection of analysis and video quality, but as a rule of thumb, the processing time is the same as the length of the video.