Building AI agents that understand video

The video understanding stack

An AI agent that processes video typically chains several components:

1. Ingestion: Receive video from user upload, URL, or stream
2. Preprocessing: Decode, resize, normalize — and optionally enhance
3. Extraction: Run vision models (object detection, OCR, face recognition, captioning)
4. Reasoning: LLM interprets extracted information in context
5. Action: Agent takes action based on understanding

Enhancement happens at step 2 — before the model sees the video.

When enhancement helps understanding

Not all video needs enhancement. Focus on cases where degradation limits extraction:

• Low-resolution sources: SD video, heavily compressed uploads, old recordings
• Low-light footage: Underexposed video where detail is buried in shadows
• Soft or noisy video: Compression artifacts, sensor noise, analog degradation
• Face-heavy tasks: When face recognition or analysis is the goal

For clean, high-resolution source, enhancement may not add much. Test on your specific use case.

Architectural patterns

Always-enhance

Every video gets enhanced before processing. Simpler logic, consistent quality, predictable costs.

Quality-gated enhancement

Agent detects video quality (resolution, noise level) and enhances only when needed. Lower cost, more complexity.

Retry with enhancement

Agent processes original video first; if confidence is low, retries with enhanced version. Optimizes for cost when quality is already good.

One API call — curl, Python & Node

Submit a video by URL, then poll GET /v1/jobs/{id} until done (or receive a signed webhook), and fetch a time-limited download link:

curl -X POST https://api.bettervideo.io/v1/jobs \
  -H "Authorization: Bearer YOUR_KEY" -H "Content-Type: application/json" \
  -d '{"video_url":"https://.../clip.mp4","resolution":"1080p"}'

import requests
r = requests.post("https://api.bettervideo.io/v1/jobs",
    headers={"Authorization": "Bearer YOUR_KEY"},
    json={"video_url": "https://.../clip.mp4", "resolution": "1080p"})
job = r.json()  # poll GET /v1/jobs/{job['id']} until status == "done"

const res = await fetch("https://api.bettervideo.io/v1/jobs", {
  method: "POST",
  headers: { "Authorization": "Bearer YOUR_KEY", "Content-Type": "application/json" },
  body: JSON.stringify({ video_url: "https://.../clip.mp4", resolution: "1080p" })
});
const job = await res.json();

Privacy is the default, not an upgrade

• Never trained on. Pre-trained, fixed-weight models — your frames are enhanced and returned, never used to train AI.
• Never sold or shared. No third parties, no data brokers, no "anonymized" resale.
• Auto-deleted. Files self-delete (default 30 days), or delete any job instantly with one call.
• Proof on the Secure tier. Every deletion can return a signed deletion certificate, with a full audit log.