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Chama Optics Release

Chama Optics
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🌐 한국어 릴리즈 노트 | 日本語リリースノート

Chama Optics

Photos from the venue — edit, frame, and mosaic, all on the spot.

Chama Optics is a photo post-processing app for mirrorless and DSLR camera users, inspired by the travel-loving VTuber Akai Haato (赤井はあと). It offers features such as EXIF info frames, automatic face mosaic, color grading, and cheki (Polaroid-style frames).

  • Events, Travel & Street Photography
    When you need to mosaic other people’s faces at weddings, VTuber offline events, streets, or tourist spots
  • Fan Photo Hashtag Participants
    When posting photos with tags like #推し活はあとん日記 or #Towavel
  • DSLR/Mirrorless Camera Users & Gear Reviewers
    When sharing shooting info (camera body, lens, aperture, etc.) embedded in a frame

For the technical development process, see the dev story.

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Key Features
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EXIF Info Frame
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Photos taken with a camera contain shooting information such as camera model, lens, shutter speed, aperture, and ISO. Chama Optics automatically reads this data and places it in various themed frames.

Camera manufacturer logos (Canon, Nikon, Sony, Lumix, etc.) are also automatically detected from the shooting data and included in the frame. For Lumix, the applied Photo Style name or LUT filename can also be displayed.

Auto Face Detection + Mosaic/Sticker
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‼️ For group photos or scenes with 20+ people, set “Settings” → “Face Detection” → “Detection Speed” → “Slowest”.

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When other people’s faces are captured at events or tourist spots, faces are automatically detected and covered with mosaic or stickers.

  • Cover faces using Mosaic, Stroke, Sticker, or Mosaic+Stroke modes
  • Select individual detected faces to apply or remove effects
  • Custom stickers added in Settings are also included in the Cheki tab’s dice roll

Color Grading (LUT)
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You can apply LUT (Look-Up Table) files, used in film and photography to apply specific color tones. Load a .cube file to give your photos a cinematic color grade.

Cheki (Polaroid-style Frame)
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Automatically generates Polaroid-style cheki frames. You can customize random character sticker placement, date/signature text, and border settings.

  • Enabling cheki mode automatically adds a Polaroid-style bottom margin
  • Use the dice roll to randomly place character stickers on the image
  • Freely configure text/signature, font, color, and position (TL/TC/TR/BL/BC/BR)

iOS / Android / Desktop
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Available on the App Store. The same features as the desktop version can be used on iPhone.

Supports macOS, Linux, Windows, FreeBSD, iOS, Android, and Web (wasm32) to ensure no architecture discrimination.


Download
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Desktop
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macOS (Apple Silicon)
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Windows (x86_64)
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Linux
Debian · Ubuntu · Fedora · Rocky · Arch
curl -sSf https://raw.githubusercontent.com/pmnxis/chama-optics/master/quick-install-linux.sh | bash
Run in terminalDetails: README_LINUX.md
💡 glibc < 2.38: ONNX Runtime auto-downgraded
FreeBSD
FreeBSD 13 · 14 · ⚠ Face recognition not supported
fetch -o - https://raw.githubusercontent.com/pmnxis/chama-optics/master/quick-install-freebsd.sh | sh
Run in terminalDetails: README_FREEBSD.md
Web App (wasm32)
⚠ Experimental · some features limited

Mobile
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🔒 Privacy Policy
No personal data collection · No sign-up/login · No ads/tracking · All photo processing runs on-device only · No face recognition data sent to servers · Works offline

🌐 The Indonesian (Bahasa Indonesia) translation within the app is machine-translated and has not been reviewed. It may contain inaccuracies.

📜 License · Credits
Akai Haato (赤井はあと) is a VTuber belonging to hololive JP 1st Generation, operated by COVER Corporation.
Derivative works guidelines: hololive Derivative Works Guidelines
ChamaOptics Desktop Core: Dual-licensed under MIT / NON-AI-MIT · GitHub
ChamaOptics Mobile: Closed-source software license
Application Icon: Licensed under NON-AI / CC-BY-NC, with permission from illustrator シエミカ (@shiemika324)
※ The NON-AI license applies to parts of this software's source code, and prohibits the use of related resources (including icons, illustrations, and documentation) for AI training, dataset creation, indexing, analysis, retrieval, or any form of derivative generation by artificial intelligence.