New article to solutions library - Media, text to audio conversion (#274)

* updated text-to-audio solution

* updated text-to-audio solution

* updated solution

* updated solution

* updated solution

* updated reference architectures

* added learn more

* added learn more

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Author: candur

source/includes/images/industry-solutions/text-to-audio-architecture.svg

@@ -421,6 +421,15 @@ kick-start their projects.
             Build a YouTube transcription and summarization service with
             LLMs and semantic search.           
 
+         .. card::
+            :headline: Text-To-Audio News Conversion
+            :url: /solutions-library/text-to-audio-conversion/
+            :icon: mdb_vector_search
+            :icon-alt: Atlas mdb_vector_search icon
+
+            Automate news broadcasting by combining generative AI with
+            MongoDB.
+
       .. App-Driven Analytics
       .. --------------------
 

source/solutions-library.txt

@@ -6,4 +6,5 @@ Media Gen-AI
    :titlesonly:
 
    AI-Driven Media Personalization <solutions-library/media-personalization>
-   Gen AI-Powered Video Summarization <solutions-library/ai-powered-video-summarization>
+   Gen AI-Powered Video Summarization <solutions-library/ai-powered-video-summarization>
+   Text-To-Audio News Conversion <solutions-library/text-to-audio-conversion>

source/solutions-library/media-gen-ai.txt

@@ -0,0 +1,172 @@
+.. _arch-center-is-text-to-audio:
+
+================================================
+Text-To-Audio News Conversion With Generative AI
+================================================
+
+.. facet::
+   :name: genre
+   :values: tutorial
+
+.. meta::
+   :keywords: media, videos, news, gen AI 
+   :description: Automate news broadcasting combining generative AI with MongoDB.
+   
+.. contents:: On this page
+   :local:
+   :backlinks: none
+   :depth: 1
+   :class: singlecol
+
+Combine generative AI for podcast creation and MongoDB for data storage
+to automate and scale news broadcasting.
+
+**Use cases:** `Gen AI
+<https://www.mongodb.com/use-cases/artificial-intelligence>`__
+
+**Industries:** Media
+
+**Products:** `MongoDB Atlas <http://mongodb.com/atlas>`__, 
+`MongoDB Aggregation Framework
+<https://www.mongodb.com/docs/manual/core/aggregation-pipeline/>`__,
+`MongoDB Atlas Vector Search
+<https://www.mongodb.com/products/platform/atlas-vector-search>`__
+
+**Partners:** `Google NotebookLM <https://notebooklm.google/>`__
+
+Solution Overview
+-----------------
+
+The surge in demand for audio content has prompted news organizations to
+seek efficient ways to deliver daily summaries. For example, podcasts
+have `9 million listeners per year
+<https://advertise.acast.com/news-and-insights/future-of-podcast-advertising-in-2025-industry-leaders-predictions>`__
+in the U.S. alone. However, automating this process is challenging
+because it involves managing dynamic article data and converting it into
+high-quality audio experiences.
+
+With MongoDB and generative AI, you can build a news automation solution
+to streamline and scale podcast creation. MongoDB serves as the core
+data layer for the system, efficiently managing news articles as
+flexible, schema-less documents within a single collection. These
+documents capture both static information—such as title, content, and
+publication date—and dynamic metrics that monitor article performance
+and popularity over time, such as the number of qualified reads. You can
+also store derived insights, such as sentiment analysis and key
+entities, in your MongoDB collection and enrich them with a generative
+AI pipeline.
+
+This adaptable structure provides a robust framework to query and
+extract the latest news and metadata. You can then transform this
+information into audio podcasts by integrating advanced language models.
+With this foundation in place, you can unlock AI-driven business
+opportunities, attract new customers and increase revenue streams.
+
+Reference Architectures
+-----------------------
+
+To implement this framework, you need MongoDB for data storage and
+AI-powered speech synthesis for audio creation. You can use Google’s
+NotebookLM model to refine news text with accurate intonation and
+pacing. The diagram below outlines the workflow for converting news
+summaries into audio:
+
+.. figure:: /includes/images/industry-solutions/text-to-audio-architecture.svg
+   :figwidth: 1200px
+   :alt: visualization for text-to-audio conversion
+   
+   Figure 1. AI-based text-to-audio conversion architecture
+
+1. **Retrieve Articles:** Use :ref:`aggregation <aggregation>` and 
+   :ref:`Atlas Vector Search <avs-overview>` to fetch relevant news
+   articles from the database.
+
+#. **Generate Podcast Script:** Pass the articles through an AI pipeline to
+   create a structured, multi-voice podcast script.
+
+#. **Convert to Audio:** Use advanced text-to-speech models to transform the
+   script into high-quality audio, stored as a ``.wav`` file.
+
+#. **Optimize Delivery:** Cache the generated podcast to ensure seamless,
+   on-demand playback for users.
+
+This framework delivers high-quality, human-like narration in MP3
+format, providing users with a professional and engaging listening
+experience.
+
+Build the Solution
+------------------
+
+Follow these steps to build a text-to-audio solution using the
+MongoDB `ist.media <https://github.com/mongodb-industry-solutions/ist.media/tree/main>`__
+GitHub repository. You can use this framework as inspiration to 
+build your own customized text-to-audio pipeline.
+
+.. procedure::
+   :style: normal
+
+   .. step:: Deploy the ist.media demo
+
+      Clone the `ist.media github repository
+      <https://github.com/mongodb-industry-solutions/ist.media/tree/main>`__
+      and follow the ``README`` instructions to deploy the demo. 
+
+   .. step:: Create a feed for news
+
+      Run the demo and verify that the ``/feed`` endpoint provides the
+      news feed for the current day. Alternatively, if you prefer not to
+      use the ist.media news collection mechanisms, you can supply your
+      own data, which is served statically by the endpoint in the same
+      format.
+
+   .. step:: Generate text-to-audio conversion
+
+      Run the `podcast.py
+      <https://github.com/mongodb-industry-solutions/ist.media/blob/main/scripts/podcast.py>`__
+      script in the ist.media demo. This script uses the `AutoContent API
+      <https://autocontentapi.com/>`__ to generate the podcast. It then
+      downloads and saves it with the date (day/month/year) in the
+      filename.
+
+Key Learnings
+-------------
+
+To create a media solution that converts news data into audio content,
+you need a system that is flexible, fast, and able to scale easily.
+MongoDB makes this possible through these core strengths:
+
+- **The document model handles diverse attributes:** News data combines
+  various attributes, including static fields such as ID, title, date and
+  body, dynamic metadata such as read count, AI-generated insights such
+  as keywords and article sentiment, and embeddings for semantic search.
+  The document model supports all these elements, removing database
+  limitations and allowing the system to evolve smoothly.
+
+- **Speed ensures operational efficiency:** By processing complete,
+  self-contained documents, MongoDB avoids complex operations, enabling
+  faster analysis and near real-time transformation of articles into
+  audio content.
+
+- **Scalable systems enable growth:** MongoDB Atlas handles both small
+  changes and large amounts of data smoothly, ensuring high performance
+  and reliability as your media application grows.
+
+- **Flexible systems empower developers:** Without fixed schemas,
+  developers can easily add new information, like AI insights, audience
+  metrics, or editorial updates. This makes it simple to adapt and
+  respond to evolving news consumption.
+
+Authors
+-------
+
+- Benjamin Lorenz, MongoDB
+- Diego Canales, MongoDB
+
+Learn More
+----------
+
+- :ref:`arch-center-is-ai-media-personalization`
+
+- :ref:`arch-center-is-telco-ops`
+
+- :ref:`arch-center-is-Gen-AI-powered-video-summarization-solution`