New API Enables Engineers to Natively Integrate Groundbreaking Video Understanding AI with Any Software to Generate Humanlike Descriptions of Content

Moments Lab Announces Public API for its Award-Winning MXT Multimodal AI Indexing Technology

Moments Lab Contact:
Carlie Bonavia
Content and Communications Director
Tel: +33 650097824
Email: carlie@momentslab.com

Agency Contact:
Moe Lokat
202 Communications
Tel: +44 7973 306039
Email: moe@202comms.com

Leading AI for video understanding and search

company Moments Lab is pleased to announce its public API, which allows organizations to enrich their media assets with powerful metadata that can be integrated into any software. Moments Lab’s AI indexing technology MXT generates time-coded, searchable metadata on media files, capturing what's happening in every moment of a video and describing it like a human. It's capable of identifying people, logos, shot types, landmarks, speech, and highlighting the most impactful quotes in a transcript.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20241209041773/en/

Moments Lab’s new API empowers organizations to unlock their content's potential with advanced discovery and statistical insights, driving improved search, curation, insights generation, and personalized recommendations. (Graphic: Business Wire)

The new API enables organizations to better discover their content and gain statistical insights to fuel and shape a myriad of needs including content search, insights generation, curation, and recommendations.

“When we first released MXT, many people asked us how they could embed our video understanding technology within their own product, and leverage the data to boost content discoverability or serve other use cases,” said Frederic Petitpont, Moments Lab co-founder and CTO. “Our API is here to enable them to do just that, unlocking enhanced searchability, contextual insights, and new ROI opportunities.”

Organizations simply make their files available to Moments Lab, where they’re temporarily stored and analyzed by MXT, before the generated metadata is sent to an existing DAM, MAM, CMS, or other software.

Metadata generated by other AI indexing tools is typically delivered in formats that are difficult to read or cannot be edited, leaving no opportunity for evaluation. MXT produces readable, text-based metadata that’s fully editable within the Moments Lab platform before being sent to existing software, ensuring portability, accuracy, and transparency.

Developers can access all relevant documentation at the MXT API developer website, api.momentslab.com.

For more information, please visit momentslab.com/products/just-index.

About Moments Lab (www.momentslab.com)

Moments Lab’s mission is to help content producers build videos faster. The platform makes audiovisual content searchable to reduce the time spent sourcing the key moments required to tell a story. MXT Multimodal AI is here to address video indexing challenges, describing sequences in natural language, enabling content professionals to focus on creativity and higher-value decisions.

Today, our platform is used worldwide by TV networks, sports rights holders, production companies, journalists, producers, and archivists to scale content creation workflows and generate new revenue streams. Whether it be for managing and accessing live recordings, clipping highlights, researching story angles, content retrieval, or content showcasing and licensing.

All trademarks appearing herein are the property of their respective owners.

Link to Word Doc: www.202comms.com/MomentsLab/241209–Moments_Lab-MXT_API.docx

Photo Link: www.202comms.com/MomentsLab/MomentsLab-MXT_API.jpg

View source version on businesswire.com: https://www.businesswire.com/news/home/20241209041773/en/

“When we released MXT, many people asked how they could embed our video understanding technology within their own product, and leverage the data to boost content discoverability or serve other use cases. Our API is here to enable them to do just that.”