Decamerone provides an AI‑powered tool that automatically analyzes broadcast and production video streams to extract scenes, transcribe speech with speaker diarization, and generate concise textual recaps and metadata. The platform integrates with existing media asset management systems, enabling broadcasters and production companies to quickly locate relevant segments, ensure compliance, and repurpose content for marketing or archival purposes.
Funding
$850K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Broadcasters and production companies often spend extensive manual effort reviewing and analyzing large volumes of TV and video content to extract insights, create recaps, and ensure compliance. This process is time‑consuming, prone to human error, and limits the speed at which content can be repurposed or evaluated.
Solution
Decamerone offers an AI‑powered tool that automatically processes broadcast and production video streams to generate detailed analyses and recaps. By applying computer‑vision and natural‑language processing, the platform extracts key scenes, identifies speakers, creates timestamps, and produces concise textual summaries. The results are delivered through an intuitive interface that allows editors and managers to quickly locate relevant segments, verify compliance, and repurpose content for marketing or archival purposes. Integration options enable the tool to work with existing media asset management systems, streamlining workflows without requiring extensive technical setup.
Target Audience
Primary customers are broadcast networks, TV channels, and video production firms that need fast, reliable content analysis for editorial, compliance, and repurposing workflows.
Features
- Automated scene detection and shot segmentation using deep‑learning video analysis
- Speech‑to‑text transcription with speaker diarization for accurate dialogue indexing
- Generation of concise textual recaps and highlight reels based on content relevance
- Metadata extraction (e.g., timestamps, tags, visual descriptors) for easy search and retrieval
- API and plugin support for integration with media asset management and editing platforms
- Multilingual support for transcription and summarization across major European languages