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    AI Renamer

    AI Renamer

    Rename Your Files with AI

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    AI Tools·Productivity
    #ai·#productivity·#review·#saas·#pdf·#privacy·#project-management·#prompting
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    About this product

    AI Renamer is a desktop application that uses AI models to automatically rename files based on their content, supporting images, documents, and PDFs on Mac and Windows.

    What is AI Renamer?

    AI Renamer analyzes the actual content of your files — images (JPG, PNG, GIF, WEBP), documents (PDF, TXT), and text-based files — and generates meaningful filenames. You drag and drop files or folders, select an AI model, preview suggested names, and apply them in bulk. The app runs on macOS and Windows and is developed by Ozgur Ozer.

    Key Features

    • Custom Instructions — Add your own naming patterns and formatting rules to guide how AI models generate filenames.
    • Smart Recognition — Uses AI to detect image content, EXIF data, and document text to produce descriptive names.
    • Batch Processing — Rename multiple files at once with consistent naming; preview all changes before applying.
    • File Support — Works with images (JPG, PNG, GIF, WEBP) and documents (PDF, TXT, and other text-based formats).
    • Local Model Support — Integrates with Ollama and LM Studio for offline, private renaming, plus supports OpenAI and custom API models.
    • Platform Support — Native desktop apps for both macOS and Windows with a consistent user interface.
    • Free Credits — Get 10 free credits when you sign up, with no expiration (applicable to cloud mode).

    Who is it for?

    • Anyone with messy file folders — Replace cryptic filenames like IMG_20240301_143022.jpg with names like Sunset beach vacation 2024.jpg.
    • Professionals handling many screenshots — Rename dozens of screenshots or document scans in one batch with consistent, searchable names.
    • Privacy-conscious users — Use local AI models (Ollama or LM Studio) so your files never leave your computer.

    What can you do with AI Renamer?

    • Organize image collections — Drop in a folder of photos and let AI analyze content to produce filenames that describe what each image shows (e.g., family_picnic_park.jpg).
    • Rename PDFs by content — Upload PDFs and AI reads the text to generate filenames reflecting the document's subject or title.
    • Apply custom naming patterns — Use the custom instructions feature to enforce formats like YYYY-MM-DD_<description> or client project codes.

    How does AI Renamer work?

    1. Drag and drop files or folders into the app interface.
    2. Choose an AI model (local via Ollama/LM Studio, cloud via a provider, or a custom API endpoint).
    3. Optionally add custom instructions to guide naming style.
    4. Preview the AI-generated filenames and approve or edit them.
    5. Click rename — all selected files are renamed in one operation.

    Pricing

    AI Renamer offers two modes:

    • Local Mode — $19 one-time purchase. Unlimited renaming using your own AI models (Ollama, LM Studio, OpenAI custom API). All processing stays on your machine.
    • Cloud Mode — $10 for 200 credits. 1 credit per rename operation. Files are processed privately in the cloud with a maximum file size of 10 MB. Credits never expire.
    • New users receive 10 free credits on signup (applicable to cloud mode).

    FAQ

    Does AI Renamer store my files?

    No, your files are not stored. In cloud mode, files are temporarily processed and then deleted. In local mode, everything stays on your computer.

    Can I preview suggested names before renaming?

    Yes. The app shows AI-suggested filenames in a preview list. You can approve, edit, or reject each one before applying the rename.

    What file types are supported?

    Images: JPG, PNG, GIF, WEBP. Documents: PDF, TXT, and other text-based files. There is no file size limit in local mode; cloud mode has a 10 MB limit.

    Do credits expire?

    No, cloud credits never expire. You can use them anytime.

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    01_LAUNCH INSIGHTS

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    Pricing
    Freemium
    Launch date
    Mar 11, 2026
    Status
    Published
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