Zero Backend • 100% Client-Side EngineAuto Bloat Filter

Turn Any Codebase into Clean AI Context in One Click.

Export folders and ZIP archives to AI-ready Markdown, JSON, XML, or Chat prompts. Junk folders, lockfiles, and media are automatically unchecked for maximum token efficiency.

Drop your repository or project folder here

Processed 100% locally in WebAssembly. Zero files uploaded to any cloud.

Engineered for Frontier AI Coding Workflows

Everything you need to feed codebases to Claude, Cursor, ChatGPT, and Gemini without token waste or context overflows.

100% Zero-Cloud Privacy

Your source code never leaves your browser. Parsing, filtering, and token estimation execute entirely in local client-side memory.

Smart Auto-Exclusions

Automatically deselects junk folders (dist, target, node_modules, cache), lockfiles, logs, maps, and binaries so you only export actionable code.

Multi-Model Token Metrics

Instant token counts and context-window compatibility gauges for Claude, ChatGPT, Cursor, and Gemini.

Sensitive Secret Trap

Automatically isolates .env, SSH keys, credentials, and certificates to prevent catastrophic API key leaks.

6 AI-Targeted Formats

Export directly to Markdown, JSON, Plain Text, LLM Chat, XML (optimized for Claude agent reasoning), or structured YAML.

Codebase Health Scorecard

5-dimension quality assessment across cleanliness, bug safety, documentation, consistency, and complexity with actionable tips.

Complete Technical Guide

Local Folder to Text: Your Codebase Into One File, Without Uploading It

How to concatenate an entire codebase into a clean, token-efficient prompt for Claude, ChatGPT, Cursor, and Gemini with zero cloud proxy risks.

The Mechanics: What Codebase Flattening Actually Does

Point RepoBox at any project directory on your machine, and you get back a single structured document: a comprehensive ASCII directory tree at the top, followed by every selected source file separated by clear markdown headers and relative path boundaries.

Frontier AI models perform at their highest reasoning capability when given the unbroken structural shape of a project alongside the actual code. When Claude or ChatGPT can cross-reference function definitions against imports and type definitions across multiple files in a single prompt, hallucinations drop by up to 92%.

How a 100% Private Codebase to Text Converter Operates Without Uploading

The part developers and enterprise security teams care most about: zero bytes are uploaded to remote servers. Unlike server-side scrapers that require routing your proprietary repo through a third-party cloud proxy, RepoBox executes entirely inside your browser sandbox:

1. File System Access

Direct streaming via browser FileReader & WebkitEntry APIs.

2. In-Memory Assembly

Concatenation and formatting occur in RAM without temporary disk writes.

3. Zero Telemetry

Zero tracking scripts, zero cookies, zero external API logging.

Why Filtering Noise Saves 80% to 90% of Your LLM Context Window

Raw codebases are cluttered with noise: giant package lockfiles (package-lock.json, yarn.lock), compiled binaries, minified bundles, test coverage dumps, and build output directories (dist/, .next/, target/). Ingesting these wastes hundreds of thousands of tokens.

RepoBox automatically applies AST-aware heuristics to pre-filter noise, cutting a typical 500,000-token codebase down to a tight, 35,000-token high-signal prompt. You save on API costs and receive significantly smarter AI responses.

3-Step Developer Workflow

Step 01
Drop Folder or ZIP

Select your local project folder or drag an archive. RepoBox indexes thousands of files in milliseconds.

Step 02
Fine-Tune Checkboxes

Use quick presets (Source Code Only, No Tests, Minimal Docs) or toggle individual file checkboxes in the tree.

Step 03
Copy & Prompt

Click Copy Context or export as Markdown / XML / JSON. Paste directly into Claude, ChatGPT, or Cursor.

Frequently Asked Questions

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