Wan 2.7 Text to Video is Now on Segmind: 1080P Cinematic AI Video with Audio Sync

The demand for AI video generation has been surging all year. "Best text to video AI" is now the single most searched query in the category, and every week I see more teams asking me which model actually delivers production-ready results without a complex pipeline behind it. Wan 2.7 is the answer I've been pointing people toward since we launched it on Segmind.

What is Wan 2.7?

Wan 2.7 is Alibaba's most capable text-to-video model to date. It generates videos up to 15 seconds long at 1080P resolution, supports five aspect ratios (16:9, 9:16, 1:1, 4:3, and 3:4), and natively synchronizes character motion and lip movements with an audio track you provide. That last part is the big unlock: just pass a publicly accessible audio URL alongside your text prompt and the model figures out how to time everything. No separate lip-sync step, no post-processing pipeline.

What makes Wan 2.7 stand out from earlier versions and from competitors is the combination of cinematic visual quality with a genuinely simple API. One call, binary MP4 back. I ran 12 test generations across all aspect ratios and resolution tiers while setting this up, and the results at 1080P are legitimately impressive for developer-grade tooling.

What you can build with it

Marketing agencies can use Wan 2.7 to generate branded video at scale. Product demos, spokesperson clips with audio sync, social media ads in both 16:9 and 9:16, and seasonal campaign variants are all within reach at $0.9375 per 1080P generation. An agency producing 50 ad variants a week can do this entirely via API, no render farm required.

For film studios and production teams, Wan 2.7 gives you a pre-visualization tool that actually looks cinematic. I prompted it with a film noir detective scene and got 35mm grain, wet pavement reflections, and handheld camera motion that I would have expected to cost multiple render hours. It handles camera movement descriptions like "slow dolly push," "aerial drone descending," and "handheld chase" and applies them to the motion naturally.

Production houses and MCNs can automate their B-roll pipeline, generate YouTube intros per channel theme, and create Instagram Reels content without booking a shoot. The 9:16 ratio at 5 to 8 seconds hits the sweet spot for most short-form platforms, and 720P is fast and cheap enough at $0.625 per video to use at high volume.

See it in action

Get started

Wan 2.7 is live on Segmind right now at segmind.com/models/wan2.7-t2v. You need an API key and a text prompt. Here is the minimal call:

import requests

response = requests.post(
    "https://api.segmind.com/v1/wan2.7-t2v",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "prompt": "Your scene description here",
        "resolution": "1080P",
        "duration": 10,
        "ratio": "16:9"
    }
)

with open("output.mp4", "wb") as f:
    f.write(response.content)

The response is binary MP4, no polling needed. Try it on the playground first to dial in your prompt, then call the API directly from your app or pipeline.