AIDevToolsCost OptimizationVideo

VisionSession Cost Tracker

Estimate and optimize per-frame token costs for multimodal video/image analysis workflows

Problem
Developers complain that feeding 30-60s of high-FPS video into Vision APIs drains credits immediately; they must trade off full-frame input, scene-change sampling, and audio-beat alignment without any tool to quantify the cost of each strategy.
Solution
A local CLI/web tool that takes a video file or URL, lets you pick FPS and scene sampling strategies, and estimates input frames, token count, and cost; it compares full-frame, keyframe, and audio-aligned approaches and recommends the best configuration.
Users
Small teams and indie developers building video understanding, multimodal agents, or short-form video analytics
MVP
Support local video files or YouTube links; compute frames and tokens for chosen FPS and scene-change sampling; output cost comparison across strategies; export JSON report; no actual model calls, pure estimation
Revenue
Free basic estimation; paid unlocks batch video queues and team-shared reports; subscription $12/mo or pay-per-video $0.5
Why now
Multimodal video analysis is exploding, yet cost is completely opaque; the tool is pure computation with no external dependencies, ideal for a weekend launch and community-driven growth

Source discussions · 2

  1. Hacker NewsAsk HN: DeepSeek v4.1 Flash on Local hardware, what tok/s do you see?3↑ 0
  2. Reddit[r/SaaS] The unit economics of running multimodal video analysis at scale (what I learned breaking down frames)
← Back to list