qiaomu-content-interpreter

Automate long-text interpretation by pasting your content to trigger a fully automated workflow. It generates a stylized narrative and accompanying visuals, outputting a ready-to-publish Markdown file.

Two-pass content refinement first rewrites text into a specific style, then compares it against the original to fill in missing content. This ensures the final narrative remains readable without losing core information.

Yes, you need Python 3.8 or higher to run the internal scripts. The workflow relies on the requests and pillow dependencies to prepare the workspace and generate aligned illustrations.

Yes, automatic illustration generation produces visuals aligned with major sections of your research notes. The workflow processes the text and embeds the generated images directly into the final Markdown output.

Yes, the workflow runs fully automated from workspace setup to final output without user prompts. It handles draft generation internally, preserving the original content while applying the two-pass interpretation.

The best way to transfer style while preserving content is using a two-pass interpretation process. Pass one applies the style transfer, and pass two compares the draft with the original to recover any missing core content.