APT
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local excl
What is APT?
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.
Overview of APT
What it is
APT (AI Productivity Tool) is a free and open-source desktop application that provides local AI models for chat, image, video, and audio processing. It runs entirely offline, ensuring user privacy and data security. The tool includes built-in models such as ChatGPT, DeepSeek, Phi, and Qwen, and supports one-click batch processing of media files.
Key features
- Free and open source: the source code is publicly available for inspection and modification.
- Privacy protection: all data is processed locally on the user's device.
- Offline use: no internet connection required; can run without network restrictions.
- No installation or configuration: simply unzip and run the executable with one click.
- Multi-language support: internationalized interface for global users.
- Built-in local AI models: ChatGPT, DeepSeek, Phi, Qwen for conversational AI.
- Batch processing: one-click intelligent processing of images, videos, and audio.
Use cases
- Enhancing image resolution, removing watermarks, converting images to cartoon or 3D styles, restoring old photos, and removing backgrounds.
- Upscaling video resolution, removing watermarks, converting to cartoon or 3D, restoring color, increasing frame rate, and removing backgrounds.
- Separating vocals from audio, denoising, text-to-speech (under testing), and speech-to-text (under testing).
- Generating AI chat responses using local models without internet access.
Getting started
See the repository README for download and usage instructions.
License and pricing
MIT License. Free and open source.
Based on the project's public README and repository metadata.