AudioStack
API-first AI audio production: script to broadcast-ready audio in minutes.
About
AudioStack is an enterprise audio production platform that automates the full pipeline from script to finished, mastered audio. You feed it text and it handles text-to-speech or speech-to-speech voice generation across 1,200+ voices in 83 languages, mixing, mastering, sound design, and dynamic versioning — so one script can become dozens of localized ad variants in minutes. The platform is API-first with a Python SDK, built for ad-tech, DAM, and publishing pipelines, and offers voice cloning plus SSO/SOC 2 compliance for enterprise buyers.
The honest caveats: it's aimed squarely at businesses producing audio at scale, not hobbyists — pricing is quote-based and the workflow assumes you have scripts and brand guidelines ready. Voice quality varies by provider voice, and cloning requires a minimum of two hours of sample audio. For teams already generating audio content manually, the claimed cost reductions of up to 80% are the pitch; independent verification of that figure is thin.
What it can do
- Text-to-speech and speech-to-speech across 1,200+ voices, 83 languages
- Cloud mixing, mastering, and sound-design engine
- Dynamic versioning and localization of audio assets
- Voice cloning from existing recordings
- API, Python SDK, and workflow integrations for pipelines
Setup
Create an account at audiostack.ai to get an API key. Install the Python SDK with pip install audiostack, set audiostack.api_key, then create scripts, render TTS, mix with sound templates, and encode to MP3 through the SDK or REST API.
Prerequisites
An AudioStack account and API key; Python 3 for the SDK.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 68; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.