Dead-Letter FAQs

Question 1

What is Dead-Letter and what is its primary purpose?

Accepted Answer

Dead-Letter is a developer tool that converts `.eml` email export files into clean, structured Markdown with YAML front matter. Its primary purpose is to optimize email content for downstream processing, particularly for Large Language Model (LLM) and retrieval pipelines.

Question 2

How does Dead-Letter improve email data for LLMs?

Accepted Answer

It normalizes raw, noisy `.eml` files by stripping MIME headers, segmenting email threads, sanitizing HTML, handling inline images, and extracting attachments. This provides a clean, structured Markdown output that is ideal for LLM ingestion, chunking, and indexing without further parsing.

Question 3

What are the different ways to use Dead-Letter?

Accepted Answer

Dead-Letter offers multiple interfaces: a command-line interface (CLI) for batch processing, a local web UI with drag-and-drop functionality, a Python API for programmatic integration, and an MCP server for direct integration with LLM clients like Claude Desktop and Codex.

Question 4

Does Dead-Letter handle email attachments and complex formatting?

Accepted Answer

Yes, it performs full-fidelity conversion. This includes HTML sanitization, intelligent handling of inline images, parsing calendar event summaries, and the ability to cleanly extract attachments into separate bundles, alongside the Markdown output.

Dead-Letter

Dead-Letter

주요 기능

사용 사례

주요 기능

사용 사례