知秋~英语日语单词背诵学习陪伴桌宠~
A Windows desktop companion for English and Japanese vocabulary study. Review built-in or imported decks with FSRS scheduling, track daily progress, play mini-games, and enjoy pet care, desktop interactions, and Workshop characters.
50Rating
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About This Game
知秋~英语日语单词背诵学习陪伴桌宠~ is a casual/indie game designed for single-player, developed by 无水硫酸铜 and released in 2026. With an estimated 2,000 copies sold, it is considered a niche release on Steam. Community ratings across Steam average 50.0/100 — a largely negative reception overall. Players commonly describe it as Casual, RPG, Interactive Fiction, Dating Sim and Immersive Sim.
Media
▶
User Reviews
50.0
Overall Score / 100
5.0/10
Steam (2 reviews)
DLCs (2)
知秋桌宠 - 高兼容性语音模型（GPT-SoVITS）
Free
知秋桌宠 - 高质量语音模型（Qwen3-TTS）
Free
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Game Information
Release Date
October 10, 2026
Developer
无水硫酸铜
Publisher
无水硫酸铜
Platforms
Windows
Price
$0.99
Analytics & Metrics
Copies Sold (VISE)
Low Data
VRI ScoreLearning
N/A
VRI (Vorythic Recommendation Index) a single number indicating whether the game is worth your time. Built from game data, putting real players' opinions above progressive 'critics'.
Get the Game
System Requirements
🪟 Windows
Minimum
- Requires a 64-bit processor and operating system
- OS: Windows 10 64-bit
- Processor: 64-bit dual-core processor
- Memory: 4 GB RAM
- Graphics: DirectX 11-compatible integrated or discrete graphics
- DirectX: Version 11
- Storage: 2 GB available space
- Sound Card: Windows-compatible audio device
- Additional Notes: These requirements cover the core vocabulary-study and desktop-companion features. Optional local TTS runtime and voice-model DLCs require additional storage and computing resources.
Recommended
- Requires a 64-bit processor and operating system
- OS: Windows 11 64-bit
- Processor: Modern 6-core x64 processor
- Memory: 16 GB RAM
- Graphics: NVIDIA GPU with 6 GB VRAM and current drivers for accelerated local GPT-SoVITS TTS; Qwen3-TTS requirements depend on the selected model.
- DirectX: Version 11
- Storage: 16 GB available space
- Sound Card: Windows-compatible audio device
- Additional Notes: Recommended hardware is intended for optional local TTS. Install matching runtime and voice-model resources and enable real-time TTS in Settings > Voice. CPU inference can be slower; Qwen3-TTS resource requirements vary by model. LLM chat and cloud speech require separately installed and configured Workshop extensions.
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