Live now
HTML to Markdown for AI
Convert noisy HTML or public web pages into clean Markdown for prompts, RAG pipelines, and agent workflows.
Open Tool APromptStage
AI workflow staging tools
Zero-login staging area
PromptStage is a suite of fast workflow tools for cleaning web content, structuring video scenes, tightening character consistency, and generating more usable creative prompts.
Featured tool
The first PromptStage utility is a hardened HTML cleanup workflow that converts pasted HTML or public URLs into compact Markdown for prompts, retrieval, and automation.
Tool suite
Each PromptStage utility should solve a specific point of friction between raw ideas or raw data and the format an AI model actually needs.
Live now
Convert noisy HTML or public web pages into clean Markdown for prompts, RAG pipelines, and agent workflows.
Open Tool AComing next
Split longer scripts into AI-video-friendly scene chunks with shot-ready descriptive prompt output.
Planned nextPlanned
Generate front, side, back, and expression prompt sets to keep AI characters consistent across scenes.
In developmentPlanned
Build camera movement, lens, framing, and aspect-ratio prompt strings for tools like Kling and Higgsfield.
In developmentPrompt cleanup
Strip token-heavy page chrome and keep the semantic core before content reaches your model.
Scene structuring
Turn long scripts into shorter prompt-ready chunks that fit the constraints of AI video tools.
Visual consistency
Generate reusable prompt structures for characters, shots, and camera language across multi-step creative workflows.
Guide directions
PromptStage will pair primary tools with supporting guides for Higgsfield, Kling, `n8n`, and adjacent AI workflows where users need both utility and explanation.
Support scene chunking, character consistency, and camera prompt prep for short-scene AI video generation.
Translate story beats into clear scene, character, and camera directions for model-specific prompt control.
Clean messy web inputs before they enter automations, retrieval systems, or downstream LLM prompts.