MiniCPM-V 4.7 支持在 Mac 本地完成扫描件 OCR，无需联网上传
OpenBMB 在 Nativ_AI 里用 MiniCPM-V 4.7 让 Mac 离线跑文档 OCR，扫描件不用传云端。处理合同、证件这类敏感文件的人可以关注，和云端方案比核心卖点是数据不出本机。
OpenBMB 演示了在 Nativ_AI 应用中用 MiniCPM-V 4.7 在 Mac 上本地处理扫描文档的 OCR 能力，全程不上传云端、不依赖 Wi-Fi。工作流程是用户把扫描件拖入应用，模型直接在设备端完成文字识别。这种隐私优先的设计适合处理合同、证件等敏感文档。
对开发者而言，MiniCPM-V 4.7 展示了轻量多模态模型在消费级 Mac 上跑视觉任务的可行性，无需 API 调用即可集成。与调用云端 OCR 服务相比，本地方案牺牲部分算力上限，换取数据不出设备的隐私保障。
Your private documents should stay private. No cloud uploads, no Wi-Fi, no compromise. Just drop a scanned document into @Nativ_AI and let MiniCPM-V 4.7 handle the OCR locally on your Mac. This is exactly the kind of practical, privacy-first AI use case we love to see!
This report is categorized under AITOP's "Products" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include MiniCPM-V 4.7, Nativ_AI, OCR, 多模态.
Source attribution: curated from OpenBMB (@OpenBMB).
