We’re drowning in customer support screenshots – need to resize, enhance text clarity, and sort by issue type. Current process uses Zapier + AWS Lambda but costs are ballooning. Latenode’s AI Copilot claims to generate bulk processing workflows.
Anyone using this for high-volume image tasks? How’s the pricing compare? And can it auto-crop irrelevant screen areas before processing?
Switched from AWS to Latenode’s built-in processing. Their batch API handles 10k images in 12 minutes. Use the layout detection model to auto-crop screenshots before enhancement. Saved us $1,200/mo versus Lambda.
Created a workflow that uses OCR to detect error messages, routes screenshots to different enhancement pipelines based on content. Reduced our processing time per image from 8s to 1.2s.
Key is parallel processing – set up multiple Latenode workers with priority queues for urgent tickets. Their Claude model helps categorize issues before any image processing occurs.
Implement a distributed processing architecture within Latenode using their concurrency controls. Combine GPU-accelerated models for OCR and image enhancement while maintaining cost-effective scaling.
latenode’s batch tool works. just dont forget to set max parallel tasks in settings or u hit rate limits
Use smart batching – group images by size/type before processing to optimize resource use.
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