Toukasane Lab
Tran Tan Si Lifestyle iPhoneiPadiPod touch
Toukasane Lab is a free Lifestyle app for iPhone and iPad by Tran Tan Si. Requires iOS 16.0. Updated October 14, 2026.
- Price
- Free
- on the App Store
- Size
- 3 MB
- Age 4+
- Updated
- Oct 14
- 2026 · v1.0
Screenshots
About Toukasane Lab
Toukasane Lab is an on-device craft assistant for translucent layered washi dyeing. It turns soak, stacking, and wet-press steps into adjustable parameters so you can compare formulas before you work, and review finished pieces afterward. What you can do: • Browse a built-in washi paper library (such as gampi, mitsumata, sugihara, Mino, and handmade thin translucent sheets), inspect absorbency, transmittance, and layer limits, and load defaults into the studio • Adjust moisture level, soak time, layer count, press strength, press duration, and dye strength; see live scores for clarity, evenness, texture, and integrity, plus risk tips • Compare two formulas side by side and get a style-based pick among Fresh / Antique / Deep • Preview multi-layer translucent dye results (Metal compute shading when available, otherwise on-device drawing); zoom, copy a parameter list, and save the simulation image • Choose a finished photo from your library for on-device preprocessing and feature-based analysis of eight dye-related defect types (dry spots, uneven layers, wet-press wrinkles, edge bleed, muddy color, fiber fuzz, layer shift, over-bleed), with cause and fix suggestions • Read a twelve-step process guide, use style samples and parameter templates • Save experiments to a log, archive formulas, search, pin, reuse, and check for duplicate parameter sets What makes it distinctive: • Built around translucent stacking and wet-press craft—not a general color mixer or paint app • Parameters, simulation, diagnosis, and logs stay in one workflow for iteration • No account or social features; craft data stays on your device. Defect review runs locally and does not call an online recognition API • Ambient humidity/temperature tips are in-app references, not sensor readings; photo quality affects diagnosis Made for makers who want measurable notes and fewer blind trials.
App privacy
The developer, Tran Tan Si, reported these privacy practices to Apple.
Data Used to Track You
The following data may be used to track you across apps and websites owned by other companies:
- Identifiers: Device ID
- Usage Data: Advertising Data
Data Not Linked to You
The following data, which may be collected but is not linked to your identity, may be used for the following purposes:
- Identifiers: Device ID
- Usage Data: Advertising Data
Used for: Third-Party Advertising, Developer’s Advertising or Marketing
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