Predicted Caption Accuracy: A Cost-Efficient Captioning Workflow
The captioning quality you need; the price that fits your budget.
How Predicted Caption Accuracy Works
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Harness the efficiency of AI, with none of the uncertainty.
Use our best-in-class automatic speech recognition (ASR) when the quality is sufficient, let humans handle the rest to ensure quality is exactly where you need it to be.
Stretch your budget as far as it will go.
By setting a minimum accuracy threshold, you only need to pay for human review when it is necessary to achieve your desired captioning quality.
Achieve compliance at all levels.
Regulations like the Americans With Disabilities Act (ADA), the European Accessibility Act (EAA), and others expect accurate captions on all videos, a standard that Predicted Caption Accuracy is designed to guarantee for every video.
The Predicted Caption Accuracy Workflow
Rapid AI Processing
Leverage best-in-class ASR to instantly generate captions for any volume of video content.
Automated Quality Audits
Our proprietary machine learning engine predicts caption accuracy scores in real-time, identifying which files need a human review.
Expert Human Review
Low-confidence files are automatically upgraded to human review. High-confidence files pass through, saving you time and money.
The Bottom Line: Scalable Compliance
Eliminate the “all-or-nothing” cost of human captioning. Control your budget by applying human expertise only where it provides the most value.
Case Study
Predicted Caption Accuracy Success: University of Florida
“Predicted Caption Accuracy isn’t just a caption quality tool, it’s a budget strategy. It ensures we invest human review where it’s actually needed, while giving faculty confidence that every video they upload meets a dependable accuracy baseline. That brings tremendous peace of mind to us and our faculty, who are already juggling so much in a resource-constrained environment.“
– Brian Smith | IT Manager, UFIT Video & Collaboration Services, UF