VEED Now Available on fal
We’re excited to welcome VEED to the fal platform — bringing three powerful AI models designed to make avatar-driven video creation easier, faster, and more scalable than ever. Whether you’re building content for social media, marketing campaigns, training videos, or internal communications, VEED’s models let you create polished video without ever stepping in front of a camera.
What’s New with VEED on fal?
VEED is known for its intuitive tools that power creators and teams to produce professional-looking content at scale. With the launch of these models on fal, developers can now automate avatar-based video generation using text or audio input — with incredible speed and realism.
Let’s break down what’s available:
🎥 Text-to-Video with Avatars
This model lets you go from text to a fully-rendered talking-head video in seconds.
- Choose from a set of high-quality, in-house avatars
- Add your text input — and watch it turn into realistic video
- Includes synced voice + facial movements
- First-ever avatar editor model on fal
🎙️ Audio-to-Video with Avatars
Already have a voice recording? Upload your audio and pick an avatar — the model will return a video with lip-synced visuals.
- Supports any audio file
- Ideal for creators who want to maintain their voice but upgrade their video presence
- Great for content localization, training videos, or product explainers
🌍 Lipsync (Dubbing)
A high-speed, budget-friendly model built to turn existing audio or text into perfectly synced avatar video.
- Faster than previous lip sync models on fal
- Works with both voice recordings and written text
- Ideal for content translation, repurposing, and localization
Why This Matters
At fal, we’re focused on bringing the best generative AI models to one place — making it easy for developers to build next-gen creativity tools. VEED’s models unlock a powerful new dimension in human-AI collaboration: professional avatar videos from a few lines of text or audio.
These tools are changing how companies scale content — across languages, teams, and platforms — without ever hitting record.
Explore the models in the fal model gallery.