01
Automated Semantic Renaming
Replaces cryptic camera filenames (IMG_4921.jpg) with descriptive titles
Analyzes visual context and outputs clean, standardized file names based on custom user naming conventions.
DESKTOP APPLICATION · VISION AI
deeplabel-electron-trae
Automate image tagging, content categorization, and semantic renaming using local and cloud vision models.
Engine
Vision LLMs
Framework
Electron + TypeScript
Batching
Asynchronous Queue
Formats
JPEG, PNG, WebP, AVIF
Executive TL;DR — Engineering Brief
deeplabel-electron-trae is a desktop utility engineered by Alex Santos to solve the pain of unorganized image folders. Using computer vision, it scans local media directories, analyzes visual content, and applies descriptive naming and tags.
DIAGRAM & WORKFLOW
Batch Processing Queue Architecture
Concurrent thumbnail extraction, vision model batching, and safe disk renaming.
DETAILED ENGINEERING
Core Technical Pillars
Design choices, architectural patterns, and engineering decisions implemented for extreme reliability and developer experience.
02
Intelligent Tagging & EXIF Metadata Writing
Embeds searchable keywords directly into image metadata
Injects generated tags directly into IPTC/XMP metadata chunks, making images instantly searchable across OS file managers.
03
Configurable Local & Cloud Vision Engines
Support for Ollama Vision, OpenAI GPT-4o, and Gemini Flash
Choose between local zero-cost processing with Ollama or high-speed cloud inference.
04
Non-Destructive Batch Operations
Side-by-side preview with one-click undo before committing file changes
Inspect suggested file names and tags before renaming files on disk, ensuring total user control.
CODE IN ACTION
Vision Batch Processing Loop
Real-world usage, terminal configuration, and technical integration commands.
Terminal Example
SHELL
async function processImageBatch(imagePaths, promptTemplate) {
for (const filePath of imagePaths) {
const analysis = await visionClient.analyze(filePath, promptTemplate);
const sanitizedName = generateSafeFilename(analysis.suggested_title);
await renameFile(filePath, sanitizedName);
}
}QUESTIONS & ANSWERS
Technical Frequently Asked Questions
Key clarifications regarding licensing, compatibility, deployment, and security.
Can I process thousands of images in a single run?
Yes, the queue processes images in configurable chunk sizes to prevent memory saturation.
Does it overwrite original files?
Files are renamed in place, and original metadata can be preserved in backup logs.
Can I define custom naming conventions?
Yes, support for patterns like {date}_{category}_{description}.jpg.
Is an internet connection mandatory?
No, local mode with Ollama operates 100% offline.