Compare AI Video Editing (2025)

AI video editing spans enhancement (denoise, upscale), temporal effects (interpolation), and content ops (captioning, cut detection, style). Here’s how leading tools compare and how to call them via a unified API.

At‑a‑glance

Feature comparison

Unified API examples

Runway editing — JavaScript

import axios from "axios";

const res = await axios.post(
  "https://api.coreapi.com/v1/runway/generate",
  {
    prompt: "Stylize this clip as watercolor animation",
    init_video_url: "https://example.com/clip.mp4",
    motion: 0.4,
  },
  { headers: { Authorization: `Bearer ${process.env.CORE_API_KEY}` } }
);
console.log(res.data);

Stable Video — Python

import requests, os

r = requests.post(
    "https://api.coreapi.com/v1/stable-video/generate",
    json={
        "prompt": "Interpolate missing frames to 24fps, preserve content",
        "init_video_url": "https://example.com/clip.mp4",
        "fps": 24,
    },
    headers={"Authorization": f"Bearer {os.environ['CORE_API_KEY']}"},
)
print(r.json())

Practical guidance

• For restoration (old footage), combine denoise → upscale → interpolate.
• For stylized edits, keep motion moderate to avoid warping.
• Always A/B on a short segment before batch processing.