Adobe Illustrator Automation Expert Needed
Budget: $250 – $750 USD
I'm looking for a skilled developer to automate batch processing tasks in Adobe Illustrator using Adobe Firefly Services APIs and Illustrator Automation APIs. 1. Project Objective
We operate a manufacturing and production facility specializing in branded goods. Currently, our primary bottleneck is the manual "art prep" phase, where graphic designers must manually open, clean, re-format, color-match, and scale raw client logos before they can be sent to our production equipment (such as Direct-to-Film [DTF] printers and laser engravers).
We want to build a cloud-based, automated pre-press system that accepts raw customer artwork files, processes them programmatically via APIs, and drops 100% machine-ready production files into our hot folders—completely bypassing manual intervention.
2. Core Technical Architecture & API Requirements
We intend to leverage the Adobe Firefly Services APIs alongside the Adobe Illustrator Automation APIs to handle the heavy lifting. The contract developer will be responsible for building the pipeline that connects our order intake system to these endpoints.
Phase A: Automated Vector Conversion
The Problem: Customers frequently upload low-resolution, web-optimized raster images (.jpg, .png).
The Request: Integrate the Adobe Firefly Generative Vector / Image Trace API to programmatically convert incoming pixel-based artwork into clean, scalable vector geometric paths (.svg or .ai).
Phase B: File Optimization & Point Cleanup
The Problem: Messy vector files contain overlapping layers, thousands of unnecessary anchor points, or hidden artifacts that cause laser engravers to stutter or multi-pass printheads to lay down excessive ink.
The Request: Write scripts utilizing the Illustrator Automation API to automatically flatten artwork layers, merge overlapping paths, delete stray vector points, and optimize the overall path data for manufacturing efficiency.
Phase C: Color Management & Swapping
The Problem: Brand color fidelity is critical, but incoming files are often built using incorrect web color profiles (RGB), requiring manual re-mapping to physical shop inks or Pantone systems.
The Request: Utilize the Generative Recolor API or Illustrator color-mapping scripts to automatically scan vector layers and lock them into our exact manufacturing color profiles or pre-defined ink swatches.
Phase D: Layout, Nesting, & Production Export
The Problem: Files must be perfectly sized to match the physical print bounds, registration marks, and bleed margins of our specific machinery templates.
The Request: Use the Illustrator Rendition Service to pull optimized assets and programmatically drop them into structural master templates. The final script must automatically export the finished files into high-resolution, uncompressed production formats (e.g., transparent .png for DTF or precise vector coordinates for lasers) and deliver them to a local server or cloud directory.
3. Deliverables Expected from the Contractor
Integration Middleware: A secure, lightweight script or backend service (Node.js, Python, etc.) that watches our order entry intake, calls the appropriate Adobe APIs in sequence, and handles errors if an artwork file is completely unreadable.
Template Integration: Set up the logic that automatically maps incoming art to our pre-existing .ai template files (handling sizing, padding, and registration marks).
Testing & Documentation: Provide a staging setup where we can push test images through the pipeline to check vector accuracy, along with basic documentation on how to update color swatches or template dimensions in the future.
We operate a manufacturing and production facility specializing in branded goods. Currently, our primary bottleneck is the manual "art prep" phase, where graphic designers must manually open, clean, re-format, color-match, and scale raw client logos before they can be sent to our production equipment (such as Direct-to-Film [DTF] printers and laser engravers).
We want to build a cloud-based, automated pre-press system that accepts raw customer artwork files, processes them programmatically via APIs, and drops 100% machine-ready production files into our hot folders—completely bypassing manual intervention.
2. Core Technical Architecture & API Requirements
We intend to leverage the Adobe Firefly Services APIs alongside the Adobe Illustrator Automation APIs to handle the heavy lifting. The contract developer will be responsible for building the pipeline that connects our order intake system to these endpoints.
Phase A: Automated Vector Conversion
The Problem: Customers frequently upload low-resolution, web-optimized raster images (.jpg, .png).
The Request: Integrate the Adobe Firefly Generative Vector / Image Trace API to programmatically convert incoming pixel-based artwork into clean, scalable vector geometric paths (.svg or .ai).
Phase B: File Optimization & Point Cleanup
The Problem: Messy vector files contain overlapping layers, thousands of unnecessary anchor points, or hidden artifacts that cause laser engravers to stutter or multi-pass printheads to lay down excessive ink.
The Request: Write scripts utilizing the Illustrator Automation API to automatically flatten artwork layers, merge overlapping paths, delete stray vector points, and optimize the overall path data for manufacturing efficiency.
Phase C: Color Management & Swapping
The Problem: Brand color fidelity is critical, but incoming files are often built using incorrect web color profiles (RGB), requiring manual re-mapping to physical shop inks or Pantone systems.
The Request: Utilize the Generative Recolor API or Illustrator color-mapping scripts to automatically scan vector layers and lock them into our exact manufacturing color profiles or pre-defined ink swatches.
Phase D: Layout, Nesting, & Production Export
The Problem: Files must be perfectly sized to match the physical print bounds, registration marks, and bleed margins of our specific machinery templates.
The Request: Use the Illustrator Rendition Service to pull optimized assets and programmatically drop them into structural master templates. The final script must automatically export the finished files into high-resolution, uncompressed production formats (e.g., transparent .png for DTF or precise vector coordinates for lasers) and deliver them to a local server or cloud directory.
3. Deliverables Expected from the Contractor
Integration Middleware: A secure, lightweight script or backend service (Node.js, Python, etc.) that watches our order entry intake, calls the appropriate Adobe APIs in sequence, and handles errors if an artwork file is completely unreadable.
Template Integration: Set up the logic that automatically maps incoming art to our pre-existing .ai template files (handling sizing, padding, and registration marks).
Testing & Documentation: Provide a staging setup where we can push test images through the pipeline to check vector accuracy, along with basic documentation on how to update color swatches or template dimensions in the future.