SuperAPI AI Directory

Wan2.7

Wan 2.7 is an online AI video generation tool, officially called the Wan video generator, which supports turning text and images into videos. Compared with Wan 2.6, Wan 2.7 has been upgraded in five aspects: image quality, audio, motion, stylization, and consistency, and adds new features such as first-frame and last-frame generation, nine-grid image-to-video, subject plus voice reference, instruction-based video editing, and video re-creation. The tool supports real-person image input, up to 5 video references, 2 to 15 second durations, and 1080P video generation, and is aimed at creative scenarios such as short-video storytelling, character IP, and marketing advertising. It can be tried free online.

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About this tool

Wan 2.7 is an online AI video generator. Its official page says it has been launched and supports free online trials. It can generate videos from text and images, and is officially promoted as the “best Wan video generator” with 1080p, audio synchronization, and 15-second cinematic output.

Main uses Wan 2.7 is aimed at end-to-end video creation and editing. According to the official description, compared with Wan 2.6, Wan 2.7 is an all-around upgrade, with improvements in visual quality, audio, motion, stylization, and consistency, while adding multiple input controls and downstream editing capabilities, making it better suited to a complete video creation workflow.

Main capabilities According to the official description, the core capabilities of Wan 2.7 include:

  1. Quality and consistency upgrades: simultaneous improvements to visual details, motion smoothness, physical plausibility, and subject consistency, making it more stable in scenes involving real people, character continuity, or complex transitions.
  2. First-frame and last-frame generation: can control the starting and ending frames of a video clip.
  3. Nine-grid image-to-video: provides a more structured visual input method.
  4. Subject plus voice reference: can anchor a character's appearance and voice direction.
  5. Multi-video reference: supports up to 5 video references.
  6. Instruction-based editing: use natural language to edit existing videos, allowing changes to background, lighting, style, and scene details without rebuilding the entire clip from scratch.
  7. Video re-creation: switch style, subject, or context while preserving motion structure, suitable for iteration, remixing, and multi-version production.
  8. Supports real-person image input.
  9. Supports 2 to 15 second durations.
  10. Supports 1080P video generation.

How to use The official page provides a “Try Wan 2.7 free online” entry point. Users can generate videos through text-to-video, image-to-video, or by combining inputs such as first and last frames, nine-grid images, real-person images, subject and voice references, and up to 5 video references; they can also edit or re-create existing videos through natural language instructions. Specific operating steps and interface flow are not described in detail in the official materials.

Applicable scenarios The applicable scenarios listed officially include:

  • Short dramas and narrative clips: require smooth motion, stable characters, and cross-shot continuity; first and last frame control helps guide the scene arc.
  • Character IP and voice-consistent content: suitable for virtual hosts and repeatable character-based content, keeping appearance and voice direction consistent.
  • Multi-reference video generation: suitable for branded, character-led production.
  • Marketing ads and finished social videos: 2 to 15 second durations and 1080P output are suitable for advertisingads, product promotion, and short-video campaigns.
  • Instruction-based video editing: modify background, lighting, style, and scene details.
  • Video re-creation and creative adaptation: used for remixing, campaign variants, and multi-version distribution.

Limitations and information not yet provided Official materials do not provide information such as pricing model, price, specific platform support (such as web or mobile), detailed usage steps, generation speed, privacy policy, or commercial licensing; this information is not yet provided. Descriptions of output quality, effects, and consistency all come from official promotional claims, and no third-party verification data is provided.