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MenuCapture vs Linum

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

MenuCapture compared with Linum
DetailMenuCapture logo MenuCaptureLinum logo Linum
What it doesAI photo editor for restaurant menu photos using text prompts Generative video models for animation
StageStartup Not given
Founded2025 Not given
Based inUS US
Pricing modelFreemium Not given
PricingMonthly Plan: $19/month with 300 photo edits per month. Annual Plan: $159/year (billed yearly, $13.25/month) with 300 photo edits per month. Both plans include text editing, version history, gallery storage, batch processing up to 10 photos, free hosted web menu, and priority support. Annual plan in Not given
Key features
  • Text prompt editing - type any change like add ingredients, adjust lighting, or swap backgrounds
  • Full version history - every edit saved, jump back to any previous version
  • Batch processing - process up to 10 photos at once with consistent edits
  • Automatic gallery storage - all processed images organized by date with search functionality
  • Multi-platform export - sized for DoorDash, Uber Eats, Grubhub, Instagram
  • Free hosted web menu with QR code for each restaurant
  • Grid editing - divide image into sections and edit specific areas independently
  • Ingredient swapping - change proteins, sides, sauces and other ingredients in photos
  • Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
  • 4× more aggressive token reduction than Linum v2
  • Converges in 11× fewer samples than Linum v2
  • 2B-parameter model with frozen Qwen text encoder
  • Pixel-space diffusion with multi-resolution readouts
  • PixelREPA alignment with DINOv3-L
  • Curriculum learning over noise schedule
What makes it different
  • Edits real photos, not AI-generated food - preserves original dish while making requested changes
  • Results in about 15 seconds - dramatically faster than hiring a photographer
  • Works with smartphone photos - no professional equipment or studio setup required
  • Built specifically for restaurants - understands food and delivers consistent results
  • Low-cost training: full 2B model trained for just $21K in compute
  • Controls baked into model training rather than post-hoc fine-tuning
  • Pixel-space compression without separate VAE bottleneck
  • Apache 2.0 open release with full model weights and code
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)20 +3 (up) since last check44 +1 (up) since last check
Trust Flow (Majestic)85
Citation Flow (Majestic)2632
Referring domains (Majestic)26397

4 details filled in for both companies.

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