---
title: Acclaim Audio Reviews
meta_title: 'Acclaim Audio Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Acclaim Audio works for a business like yours.
date_modified: '2026-03-17'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# Acclaim Audio Reviews
**Vendor:** Acclaim Audio  
**Category:** [Emerging AI Software](https://www.g2.com/categories/emerging-ai-software)
## About Acclaim Audio
Acclaim Audio offers ESION, an advanced AI-powered audio processing suite designed for media professionals seeking to enhance their audio post-production workflows. ESION integrates seamlessly with industry-standard platforms like Avid Media Composer, providing tools that automate and refine audio editing tasks. Key Features and Functionality: - Smart Volume Leveling: Automatically balances dialogue levels, ensuring consistent and professional sound quality. - Loudness Normalization: Meets broadcast standards such as EBU R128 and ATSC A/85 with precise loudness processing. - Advanced Noise Reduction: Eliminates background noises like hums and hisses without compromising vocal clarity. - Delivery-Ready Output: Exports files that adhere to industry-standard technical specifications and delivery guidelines. Primary Value and User Solutions: ESION streamlines audio post-production by automating time-consuming tasks, allowing editors and producers to focus on creative aspects. Its AI-driven tools ensure high-quality audio output, meeting professional standards efficiently. By integrating directly into existing workflows, ESION enhances productivity and delivers consistent, polished audio results.






- [View Acclaim Audio pricing details and edition comparison](https://www.g2.com/products/acclaim-audio/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-18+01%3A25%3A29+-0500&secure%5Bsession_id%5D=97bf9aeb-9d0a-4e04-8b56-3150836e5fdf&secure%5Btoken%5D=9a3c3cee803a9c256ce050cdb60e021b784bf74088c97c515ff7dff47cd57d7b&format=llm_user)


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