Annotate: File Drop is a 100% free tool designed to streamline developer and design workflows by combining visual actions with structured data. Developed by Kim Benedict, the tool allows users to drag and drop files, folders, images, or clipboard text directly into their workflow, serving as immediate context while performing screen recordings with Annotate.

The primary use case is to generate rich, context-aware prompts that can be fed into advanced AI systems. It is built to seamlessly integrate with popular AI platforms and coding environments, including Cursor, Claude, Codex, and any other AI agent coding harness. By merging live screen actions with local files and assets, it provides AI models with the precise, high-fidelity context required to generate accurate code, designs, or explanations.

Pros of Annotate: File Drop

100% free to use
Supports multiple input types including files, images, folders, and clipboard text
Provides rich context for AI prompting by combining screen recordings with dropped assets
Works with popular AI developer tools such as Cursor, Claude, and Codex

Cons of Annotate: File Drop

Workflow is heavily centered around screen recording, which may not suit users looking for text-only context tools
Limited information available regarding offline functionality or standalone application support

Frequently Asked Questions

What is Annotate: File Drop?

Annotate: File Drop is a free tool that lets you drag and drop files, folders, images, or clipboard text to add extra context during a screen recording, helping you create highly contextual prompts for AI coding tools.