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aixio-layer-v2

Aixio Layer v2 recovers editable layers from flat designs where possible. 150-design benchmark vs Canva Magic Layers, Qwen-Image-Layer and GPT-6 Astra Ultra.

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This is 1 of 48 launches in ai presentation software — see how it stacks up on momentum and crowding →

9 other launches read as similar to this one →

Details

External ID
1411286244
Source
GITHUB
Company
—
Product
aixio-layer-v2
Website domain
aixio.app
Launched
Oct. 9, 2026
Cohort
—
Upvotes
38
Upvotes percentile
0.64
Tags
ai-design, benchmark, image-to-layers, layer-decomposition, pptx

Enrichment

Niche
ai presentation software
Vertical
Horizontal
Function
Content generation
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
flat design to editable powerpoint converter
Manually corrected
False

Could you build this?

Partial A web frontend for uploading images and exporting PPTX files is straightforward, but decompiling flat raster images into layered, editable vector elements and text requires specialized computer vision models.

What it would actually take: The frontend can be built with React and Supabase, but the backend requires an advanced vision pipeline combining OCR, layout analysis, font matching, and image inpainting/segmentation (e.g., SAM or proprietary layer-decomposition diffusion models). Once decomposed, elements must be structured into an OpenXML PPTX document preserving hierarchy, editable typography, and vector shapes. Building the core decomposition engine requires expertise in multimodal deep learning and document layout analysis.

Competitors

Other products that read as similar to this one — 9 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 10 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 175 days after the earliest competitor.

Other launches for this product