AI TTS Microservice is now a Custom GPT. Generate speech, search voices, manage your audio library, and check usage from a ChatGPT conversation, no code required.

Your blog posts, documentation, and articles already exist as text. Turning them into listenable audio takes minutes with a TTS API, no microphone, no studio, no editing. This guide covers the practical workflow from text to published audio.

Three TTS providers have different strengths. This comparison covers voice families, language support, format options, streaming capabilities, and practical use-case fit, based on what each provider actually delivers today.

Generating audio is the easy part. Managing hundreds of files, distributing them to the right people, and keeping your library clean is where most workflows break down. This guide covers collections, tags, bulk operations, playlists, access codes, and storage management.

Turn your written newsletter into a listenable audio edition, automatically. This guide covers the workflow from script to shareable playlist, using async generation, library organization, and password-protected distribution.

Choosing a single TTS provider means accepting its limitations everywhere. A multi-provider approach gives you the best voice for each use case while avoiding multiple integrations, billing systems, and API contracts.

AI TTS Microservice exposes 35 tools via the Model Context Protocol. This guide covers what MCP is, how to connect Claude Desktop, Cursor, or any MCP client to the TTS API, and what you can do with voice generation, job management, sharing, and library tools through natural-language prompts.

AI TTS Microservice supports streaming delivery for short-form text to speech. Start hearing audio sooner (in the web app or via the API) while still getting a durable completed result.

A practical guide to using TTS for course narration, covering voice selection, long-form generation, pacing control, multilingual scaling, and LMS-ready output formats. Includes a production checklist for course creators.

A practical guide to using text-to-speech for faceless video content, covering voice selection by provider and tier, the production workflow from script to timeline, scaling to multiple videos per week, and common mistakes to avoid.

The European Accessibility Act took effect in June 2025, and the ADA Title II WCAG 2.1 deadline for large public entities was April 24, 2026. This guide explains what the regulations require, where TTS fits in a compliance strategy, and how to implement audio alternatives at scale.

A step-by-step tutorial for integrating a text-to-speech API, covering authentication, your first request, polling for results, output formats, error handling, idempotency, and webhooks. Includes examples in curl, Python, and Node.js.

Most TTS tools end at the download button. This guide covers how to share AI-generated audio with public links, password protection, access codes, playlists, and QR codes without requiring recipients to sign up.

SSML gives you fine-grained control over pauses, emphasis, pronunciation, and pacing in TTS output, but support varies by provider, tier, and even voice family. This guide covers what works where, with examples.

A practical evaluation guide for teams choosing a multi-provider text-to-speech platform, covering provider coverage, API consistency, format support, voice discovery, and avoiding vendor lock-in.

A clear comparison of WAV, MP3, and OGG Opus for TTS output, covering quality, file size, compatibility, and when to use each format in real production workflows.

A practical guide to evaluating AI voices (covering language, tone, pacing, format, and provider differences) so you pick the right voice before committing to a full production run.

AI TTS Microservice brings voices from Google Cloud TTS, Gemini, Amazon Polly, Kokoro, and more into a single catalog with unified generation, sharing, and API access. Here's what it does and why it exists.