Ship generative video features with confidence
Frametail is the all-in-one evaluation and observability platform for building with AI generated video






Why evaluations matter for AI video
AI video generation presents unique challenges that make systematic evaluation essential.
Every generation is different
Video models are inherently stochastic, producing different outputs for the same prompt on each run. This non-deterministic nature means you can't rely on a single generation to judge quality or consistency.
Every generation is costly
Evaluation helps you optimize prompts, select the right models, and identify quality issues before scaling to production — saving time and money by catching problems early and ensuring you're generating high-quality outputs efficiently.
Every generation is opaque
You can't peer inside the model to see why it produced a given frame or sequence. Without interpretable internals, the only way to understand quality, alignment, and failure modes is through systematic evaluation of the outputs themselves.
Everything you need to understand and improve your generative video pipeline
Process videos efficiently, score quality metrics automatically, and run batch evaluations across datasets — all with real-time progress tracking and comprehensive analytics.

Experiment
Upload videos and automatically extract audio, transcripts, and key frames for comprehensive analysis.

Evaluate
Run custom scorers using OpenAI, Anthropic, and Gemini models to assess video quality across multiple dimensions.

Observe
Run evaluations across entire datasets with aggregated results, cost tracking, and performance analytics.
The video evaluation platform that grows with you
Frametail helps teams of all sizes evaluate AI-produced video quality with precision and scale. Whether you're building a prototype or testing a large dataset, we can provide accurate assessments and observability.
Questions & answers
Ready to evaluate AI video quality at scale?
Join research teams and production companies using Frametail to assess AI-generated video quality with precision, automation, and comprehensive analytics.