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Revit-to-Blender Automated Conversion Pipeline | BIM + Python Developer

Бюджэт: $20.0 - $40.0 HOURLY / FULL_TIME ⭐ 5.00 (28) United States

python, automation, autodesk-revit, bim, blender3d, c#, api-development

Пераважная кваліфікацыя

  • Лакацыя: Americas
  • Вопыт: Эксперт
## Build an Automated Revit → Blender Pipeline We are a real estate visualization technology company looking for an experienced **BIM / 3D automation developer** to build a system that automatically converts architectural Revit models into clean, accurate, visualization-ready Blender models. ### The Problem Today, our 3D teams can spend several weeks manually rebuilding or cleaning architectural models for visualization. We want to automate as much of this as possible. **Input:** Architectural Revit model for a large luxury condo/apartment building. **Output:** A clean, lightweight, correctly organized Blender model containing the architectural geometry needed for high-quality visualization. We are NOT looking for someone to manually model buildings. **We want someone to build the automated pipeline that creates them.** ### What the System Should Do Starting with a Revit model, automatically: * Extract/convert all visually relevant architectural geometry * Preserve accurate dimensions and placement * Keep walls, floors, ceilings, windows, doors, curtain walls, mullions, stairs, railings, balconies, columns, built-ins, etc. * Remove unnecessary BIM/construction/MEP geometry * Remove geometry that will never be visible * Clean and optimize meshes * Identify repeated elements and use instances where appropriate * Preserve useful Revit metadata such as element ID, category, family, type and level * Organize the Blender scene intelligently by building / floor / unit / room / element where possible * Produce a substantially lighter, cleaner model suitable for architectural visualization We are open to the best technical approach. Possible technologies include: **Revit API / C# / Python / Datasmith / IFC / IfcOpenShell / Bonsai / Speckle / FBX / Blender Python API / Autodesk Platform Services** We do NOT require a particular approach. We want someone who understands this problem well enough to recommend the best architecture. ### Automation Is the Goal The important part of this project is not converting one building. We want to build a reusable system where eventually we can: **Drop in a Revit building → automatically receive a clean Blender visualization model.** Human intervention should be limited primarily to QA and unusual architectural conditions. We are also interested in using AI/LLM agents to inspect models, identify problems, execute Blender Python scripts and automate QA where useful. ### Ideal Background You may be a good fit if you have experience with several of these: * Revit API development * BIM automation * C# and/or Python * Blender Python API * IFC / IfcOpenShell / Bonsai * Datasmith * Autodesk Platform Services * Speckle * Procedural geometry * Mesh optimization * BIM-to-game-engine or BIM-to-visualization workflows * Automated architectural model processing Strong software engineering is more important than artistic rendering ability. ### To Apply Please don't send a generic proposal. Instead, tell us: **1. How would you architect this system?** Given a large architectural Revit model, what path would you use to produce a clean Blender model, and why? **2. What would you use?** For example: direct Revit API extraction, Datasmith, IFC/IfcOpenShell, Speckle, FBX, or another approach. **3. What have you built before?** Please show examples of BIM/Revit automation, procedural 3D systems, Revit API development, Blender automation, or similar work. **4. What do you think will be difficult?** What information or geometry is likely to break or require special handling? ### Initial Paid Test We would like to start with a real Revit model from a large residential building. The first milestone is simple: **Revit → automated conversion → cleaned Blender model** We will compare the output against a professionally prepared visualization model and measure: * Geometry accuracy * Completeness * Scene organization * Polygon/object reduction * Metadata preservation * Visual fidelity * Human cleanup time If successful, this can become a significant ongoing project. We have a large volume of luxury real estate visualization work and are developing multiple AI/3D technologies around these models.
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