SuperAPI AI Directory

ManualFig

ManualFig is an AI illustration tool that turns product photos, CAD images, and step lists into clean line drawings and vector diagrams for manuals.

Open website

About this tool

ManualFig is an AI illustration generation tool for product documentation, focused on turning product photos, CAD screenshots, or step lists into clean, ready-to-use line art and vector graphics.

[Purpose] It solves the problem of "hard to illustrate, slow to illustrate" in documents such as product manuals, quick start cards, package inserts, IFUs (instructions for use for medical devices), and work instructions. The traditional approach is either to outsource to a technical illustrator, who charges per image and requires rescheduling for every revision, or to trace images yourself with design software, which is time-consuming and labor-intensive. ManualFig's goal is to let documentation teams complete illustration production internally in just a few minutes.

[Main capabilities]

  • Photo to line art: Upload product photos, CAD screenshots, or supplier images to generate concise line art that preserves the real shape and removes reflections and cluttered backgrounds.
  • Step diagram generation: Generate numbered step-by-step panels from a step list or text description, with one action per panel, equipped with directional arrows, part callouts, and a clear completion state.
  • Compliance elements: Support adding hazard symbols, correct/incorrect comparisons, pinch points, polarity, and other elements required for IFUs and safety pages.
  • Consistent style: All illustrations within the same project maintain a consistent drawing style and numbering, making it easy to keep an entire document set unified.
  • Editing and version management: Modify any illustration with a single sentence, keep every version, and compare different versions on the same canvas.
  • Export: Supports PNG export, as well as generating SVG or converting images to SVG. Line art is stroke-based, and line width is editable in tools such as Illustrator, making it suitable for documentation systems, layout tools, and printing.

[How to use]

  1. Upload: Start from product photos, CAD screenshots, supplier images, sketches, existing manual pages, or plain text processes.
  2. Generate: Automatically obtain numbered assembly steps, part callouts, directional arrows, enlarged details, warnings, and correct/incorrect panels.
  3. Fine-tune and export: Edit any illustration with a single sentence, keep versions, and export PNG or SVG into documents. The project saves prompts, uploaded reference images, generated illustrations, and edit records for easy handoff or review.

[Applicable scenarios] Photo to line art, e-commerce product manuals, quick start cards, user manuals, furniture assembly instructions, consumer electronics quick start guides, home appliance maintenance and troubleshooting, medical device IFUs, technical illustrations, exploded views, and more.

[Pricing and limitations] The official website states "start for free." The free version gives 10 credits upon registration and another 10 credits per day (about 1 image per day), supports uploading reference images, project history, and PNG export, but daily credits expire after 24 hours, and SVG conversion is limited,uses the standard generation queue, and free results may be displayed anonymously. Starter is 200 credits per month (about 20 images), and paid projects will not appear in the community gallery. Pro is 600 credits per month (about 60 images), adding reference-guided image editing, SVG conversion workflows, more regeneration quota, and multi-product manual workflows. The highest tier is 1,500 credits per month (about 150 images), supporting batch production, parallel product lines, and team-level output. The official website does not disclose specific prices and only states that pricing is credit-based. Uploaded images are encrypted during transmission and storage, paid projects are not publicly displayed, but free results may be displayed anonymously; the official website does not clearly state whether uploaded images are used for AI training.