Cuto is an AI video tool centered on smart editing, with the tagline "one prompt, commercial-grade edits." After users upload footage and describe their editing goals, the AI generates an editable editing plan and handles subtitles, highlighted clips, watermarks and pacing control within the same workflow. The company says a first cut can be produced within 30 seconds.
[Key Capabilities] AI smart editing: Describe editing goals in natural language, and the AI automatically analyzes pacing and high-impact clips, supporting parallel analysis of multiple clips, highlight extraction and deduplication, and automatic matching of pacing and transitions. Integrated subtitles, highlights and watermarks: From subtitle generation to highlighting key information and brand watermarks, everything is done in the same panel. It offers 4 subtitle styles with AI segmentation, 6 adaptive highlight styles, and fully controllable watermarks (content, position and visual style). Multi-platform copy generation: When exporting a video, it simultaneously generates platform-appropriate titles, descriptions and hashtags, supports scenarios such as Shorts / Reels / TikTok / Douyin, and supports bilingual and multilingual output. Multi-format material import: You can upload multiple videos, import external .srt/.vtt subtitles, and automatically detect media metadata. Three editing modes: Visual timeline, form parameters, and raw JSON, suited to different technical preferences. Scene presets and reuse: Built-in presets for talking-head, unboxing, education, livestream clipping and more, which can be reused with one click and saved as custom scenes. A project supports uploading up to 12 video clips at a time.
[How to Use] Four-step loop: Upload footage and optionally upload .srt/.vtt subtitle files; describe the goal, and the AI outputs a plan for clips, transitions and pacing; fine-tune clips on the timeline and adjust subtitles, highlights and watermarks in real time; render and export with one click, and generate platform-ready titles, descriptions and hashtags.
[Use Cases] The official use cases include: talking-head editing (extracting high-energy segments from long videos and automatically removing pauses and redundancies), unboxing showcases (presenting product close-ups at a fast pace), educational content (state the conclusion first, then give examples, with one information point every 6 seconds and automatic highlighting of key sentences), livestream clipping (extracting highly interactive segments from long livestreams for direct vertical publishing), store-visit content (highlighting the environment, products and price information), course highlights (splitting into chapters by knowledge point and automatically generating chapter subtitles and cues), and multi-camera beat-syncing (combining multi-camera event footage into a high-tempo promotional video with automatic beat syncing).
[Plans and Limits] Three tiers are officially listed. All include the full smart editing workflow, with differences in quota, rendering priority and output scale: the entry tier is 380 credits/month, suitable for personal trials and light use; the core business tier 780 credits/month, suitable for professional creators and social media teams, and includes priority fast rendering; the studio tier is 1580 credits/month, aimed at batch production and high concurrency. Billing works by deducting credits based on material size at upload and a fixed amount at export, while AI planning and visual editing actions are not billed separately. Other details such as pricing and specific quota rules are not yet provided.
