AI Renamer

Experience intelligent file organization powered by AI technology that analyzes content to create meaningful names for your images and documents. Features efficient batch processing and an intuitive drag-and-drop interface for seamless workflow optimization.

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Introduction

What is AI Renamer?

AI Renamer leverages advanced machine learning algorithms to analyze file content—from images to documents—and generates contextually relevant, descriptive filenames automatically. Designed for both professionals and organizations managing extensive digital assets, it offers powerful batch processing capabilities with an intuitive drag-and-drop interface. The platform supports diverse file formats including JPG, PNG, WEBP for visual content, and TXT for textual documents. For enhanced security and customization, users can integrate local AI models such as Ollama, LM Studio, and OpenAI.

Key Features

AI-Powered Smart Renaming

Utilizes state-of-the-art artificial intelligence to analyze content and generate contextually accurate, descriptive filenames.

Advanced Batch Processing

Streamlines workflow with bulk renaming capabilities and real-time preview functionality for confident file management.

Comprehensive Format Support

Seamlessly handles multiple file formats, including popular image types (JPG, PNG, WEBP) and document formats (TXT+).

Local AI Integration

Supports private AI model deployment through Ollama, LM Studio, and OpenAI for enhanced security and customization options.

Modern User Interface

Features an intuitive drag-and-drop system for effortless file handling and streamlined operations.

Flexible Usage Model

Implements a practical credit-based system with no expiration, allowing users to scale according to their needs.

Use Cases

Digital Asset Organization: Transform image libraries with AI-generated descriptive names for enhanced searchability.

Document Management: Implement content-based naming for text files to improve accessibility and maintain naming conventions.

Creative Workflow Optimization: Efficiently rename multiple media assets for streamlined content creation and management.

Developer Automation: Leverage local AI models for customized naming automation in development workflows.