3 posts tagged with "Quality Assurance"

A question we hear constantly from organizations managing large video libraries: "We need a way to measure the accuracy and consistency of captions across our library of training videos. They've been created by folks across the organization, so quality varies. Does anyone use a tool for this?"

The short answer: yes, and Recap has it built in. Here's how Word Error Rate tooling works and why it matters when caption quality varies across your team.

Procurement officers and accessibility coordinators evaluating captioning vendors often see claims of "99% accuracy" or "WER under 1%." But caption quality involves more than word-level accuracy. Formatted Error Rate (FER) and Word Error Rate (WER) measure different aspects of caption quality. Understanding both metrics helps you specify the right quality requirements in RFPs and evaluate vendor performance. This guide explains the technical definitions, when each metric applies, and what to request from vendors.

With the April 2026 ADA Title II compliance deadline approaching, colleges and universities face a critical decision: should they use AI audio description, traditional human describers, or a combination of both? This comprehensive comparison examines the costs, quality, speed, and practical implications of each approach to help you make the right choice for your institution.

The answer isn't always one-or-the-other. Understanding the strengths and limitations of AI versus human audio description allows you to develop a strategic approach that balances quality, cost, and timeline requirements.