Indream turns ideas into videos inside one connected workflow.
Instead of separating generation, editing, voice, subtitles, and export across different tools, Indream brings them together so the path from brief to final video feels faster and more practical.
Indream can start from a document, text brief, link, or rough idea, then move into asset generation, visual exploration, timeline editing, voice and subtitle work, and final export in one place.
## Features
### AI Video Editor
Indream includes a real multi-track timeline for editing from first draft to final render. It supports captions, voice, brand presets, effects, export controls, and precise track operations for video, image, audio, text, and subtitle layers.
### AI Generator
Indream’s AI Generator works in two ways. It can be used on its own for poster design, cover image creation, concept art, social visuals, and standalone image or video generation. It also works as part of the larger workflow, where generated results can move directly into the AI Video Editor for captions, polishing, and export.
### Infinite Canvas
Indream uses Infinite Canvas as a flexible space for exploration before the final edit. It helps arrange images and video freely, test prompt-based variations, remove backgrounds, separate objects, and prepare selected assets before sending them into the timeline.
### Voice and Subtitles
Indream brings voice cloning, text to speech, and auto subtitles into the same workflow, making it easier to build more complete videos without unnecessary tool switching.
### Reusable Assets and Brand Presets
Indream supports reusable generated assets, cloned voices, logos, intros, outros, and brand settings across projects, helping teams save time and keep outputs consistent.
### Video Editor API
Indream also provides a Video Editor API that turns structured JSON into rendered videos. It is built for products, internal tools, workflows, and backend automation, and supports timeline-based video production at scale.
## Pricing
Indream offers a free starting point and uses a credit-based model for generation and rendering workloads. This makes it easy to start with independent generation or editing needs, then scale into larger production and automation workflows.
## Best For
Creators, marketers, indie makers, and developers who want AI generation and real video editing in one workflow.
