AI t-shirt design generator that turns text prompts or reference images into print-ready artwork with live shirt preview
AI tool to remove hardcoded subtitles, captions, timestamps, logos and watermarks from video
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: 2 credits on signup (first design and print file included). Pro: $19/month for 300 credits. Team: $59/month for 1500 credits. One-time top-up credits available that never expire.
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Key features
Plain-English text prompts with accurate slogan rendering and clean edge detection
Image-to-image reference upload to restyle artwork while preserving creative direction
Print-ready export: transparent 300 DPI PNG at 4500×5400 with safe margins for DTG and screen printing
Batch mode: generate up to 20 designs per run (50 on Team plan) with one prompt and list of slogans
Commercial use rights on paid plans to sell designs on own store, POD platforms, or for client work
Private by default: user prompts, images, and designs never used for AI training or shared with third parties
One-time top-up credits that never expire alongside monthly subscription options
Automatic refund of failed designs with refund credit back to account
Auto mode for conventional bottom captions detection
Box select for fine-grained text region selection
Temporal inpainting for background reconstruction
Support for MP4 and MOV formats up to 2GB
Output up to 1080P resolution
30-day file retention after upload
Support for Chinese and English text detection
Per-second billing instead of minute-rounded
What makes it different
Transparent PNG with semantic segmentation background removal ensures clean edges on detailed artwork
Correct DPI, sizing, and safe margins for DTG and screen print out of the box
Style-consistent output from reference uploads preserves visual language across designs
Pay by actual video seconds rather than rounded minutes
Preserves full frame composition without cropping or blur
Automatic credit refund for failed processing tasks
Choice between fast Auto mode or detailed Box select reconstruction