推荐工作流
产品照片转专利线稿 按素材准备、图纸生成、局部修改和提交前复核组织。
准备输入素材
使用足够清晰的产品照片、样机照片、3D 渲染图、电商图或发明人参考图，让 PatentFig AI 能理解结构关系。
生成专利图
生成去掉营销质感、保留形状视图和参考标号结构的专利线稿草稿，并保持专利图常见的线条、版面和标号结构。
检查并导出
在布局、标号和文件格式稳定后，再进入检查和导出。
为什么这个场景需要专利专用工作流
优先保证专利图结构
不用每次从头开始
导出前先检查
Common mistakes converting photos to patent line art
Submitting an AI-extracted line drawing without verifying which seams or fasteners the model invented.
Leaving company branding on the product (logos, molded text, color labels).
Photographing the product mid-assembly so the AI cannot tell which parts belong together.
Using a single photo to generate every required view instead of photographing each view separately.
产品照片转专利线稿常见问题
产品照片转专利线稿 是什么？
产品照片转专利线稿 是 PatentFig AI 中把产品照片、样机照片、3D 渲染图、电商图或发明人参考图转换成去掉营销质感、保留形状视图和参考标号结构的专利线稿草稿的工作流入口。
生成后还能继续修改吗？
可以。PatentFig AI 支持围绕布局、标号、箭头和图纸细节做多轮迭代。
它能替代专利代理人审查吗？
不能。PatentFig AI 用于加速制图和提交前检查，正式提交前仍需要律师或代理人复核。
How many photos do I need for a multi-view patent figure set?
One per required view. AI cannot infer the back of a product from a front photo. For a typical utility set, three to five photos are usually enough; for a design patent, plan six orthographic photos plus at least one perspective.
Can AI generate a cross-section from a photo?
No. A cross-section requires showing the interior, which a photo of the exterior cannot capture. Use CAD output, a hand sketch, or a written description of the interior structure for cross-section figures.