As newsrooms expand into AI audio, many face the same strategic choice: Build your own workflow using a general-purpose TTS API, or let BeyondWords handle everything for you. In other words, should you build or buy your audio stack? In this post, we'll compare these two AI audio approaches. So you can choose the one that makes sense for your newsroom. Using a general-purpose TTS API means engineering your own stack and workflow. A service like Polly, Azure, Google, ElevenLabs, Hume, or Cartesia handles audio generation, and you build the surrounding infrastructure. This gives you full control over your stack, but it takes a lot of work. On the other hand, BeyondWords provides everything you need out of the box - content generation, distribution, analytics, monetization - giving you a complete workflow with far less engineering effort. The company also provides ongoing support and product development. General-purpose TTS APIs don't extract or clean your content - your team has to build a system that identifies which parts of each article should be narrated and which should be excluded. Without proper extraction, elements such as navigation labels, captions, inline components, related links, or HTML fragments may end up in the audio. Most newsrooms solve this by building custom logic to parse article templates, strip out unwanted elements, and deliver only clean editorial content to the API. This approach works, but it requires maintenance whenever templates or CMS structures change. BeyondWords offers Magic Embed, Ghost, and WordPress integrations, which automatically extract clean editorial content for narration. This ensures a great listening experience and keeps audio consistent through CMS changes, removing the ongoing maintenance your team would otherwise have to manage. If you use our API or RSS Feed Importer, you will need to set up and maintain extraction logic. But our support team will be on hand to help you with any issues. General-purpose TTS APIs like Polly, Azure, Google, ElevenLabs, Hume, and Cartesia offer wide selections of high-quality voices, but these voices are built for various use cases (such as video game characters). So, you may need to sift through dozens to find one suitable for news narration. Some providers, including ElevenLabs and Azure, also offer voice cloning. The quality, training requirements, and licensing vary by model, so your results depend heavily on which provider you choose. Once you pick a provider, you're largely locked into its capabilities. If another vendor releases better voices or more advanced cloning, moving over isn't trivial - it typically means updating your integration, rebuilding parts of your workflow, and adapting to a new set of tools. BeyondWords is built to keep pace with rapid advances in voice technology. We integrate high-performing voices and cloning models from providers like Azure and ElevenLabs, expanding our support for new models as they reach the quality bar our publishers expect. This gives you long-term flexibility: your audio quality improves as the market evolves, without requiring you to rework your workflow or switch vendors. We also curate the voices available in the platform to ensure they meet newsroom standards, and we can help you select the right voice for any publication. That expertise leads to stronger sonic branding and saves your newsroom from evaluating an ever-growing list of models. Most general-purpose TTS APIs perform basic text normalization before generating audio, automatically converting non-standard text like numbers, dates, and abbreviations into their expected spoken forms. However, these systems aren't context-aware, so they can misinterpret ambiguous elements - for example, reading "$" as "dollars" when the article means "pesos". These APIs generally let you correct mispronunciations by adding custom pronunciation rules through SSML or a lexicon, but these fixes must be created and maintained manually. BeyondWords includes ...