Standard format for AI

Convert to Markdown

We transform your emails, documents, and websites into clean, organized .md files, the preferred format for RAG, ChatGPT, and NotebookLM.

๐Ÿ“„ .md standard ๐Ÿ” SHA-256 ๐Ÿงน No signatures or noise
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.md ready for RAG

# Customer conversation
## Project details
- Technical requirements
- Delivery deadlines

Clean structure ยท No duplicates ยท Ready for embedding

.md
Standard format for RAG
100%
Local processing
SHA-256
Deduplication
PST/MBOX
Emails to .md
The format

Markdown: the gold standard for RAG

Markdown is the preferred format for RAG pipelines because it preserves semantic structure and is easily processable by AI models.

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Semantic hierarchy

Headings (#, ##, ###) enable intelligent chunking and preserve context.

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Lightweight & efficient

Plain text without heavy metadata, ideal for embeddings and vector databases.

Key
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Compatible

Works with all RAG frameworks, LangChain, LlamaIndex, and embedding systems.

What we convert

From any format to .md

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PST/MBOX Emails

We convert entire mailboxes into .md files organized by conversation and date.

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Documents

We extract and structure Word, Excel, PDF, and other document content into Markdown.

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Websites

We extract and clean content from your domain, removing navigation and irrelevant elements.

Our process

How we convert your data to Markdown

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Extract

We extract text from emails (PST/MBOX), documents, and websites.

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Clean

We remove signatures, HTML noise, headers, and footers.

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Deduplicate

We apply SHA-256 to remove duplicate content.

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Convert to .md

We structure the content in Markdown with heading hierarchy.

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100% local processing โ€” Your data never leaves your infrastructure or is exposed to external APIs.

Benefits

Why convert to Markdown with AFR LOGIC

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Standard format

.md is the preferred format for RAG, LangChain, and LlamaIndex.

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Noise-free

We remove signatures, HTML, and metadata that clutter your data.

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No duplicates

SHA-256 deduplication to remove repeated content.

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Scalable

From 100 to over 500,000 emails converted to .md.

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Total privacy

100% local processing, no external APIs.

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Organized

We classify by functional areas to facilitate retrieval.

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Applications

What are .md files used for?

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RAG

Feed your RAG system with structured .md files for accurate retrieval.

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ChatGPT / NotebookLM

Upload your .md files to ChatGPT or NotebookLM to create custom assistants.

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Knowledge base

Centralize all your company's information in browsable .md files.

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Frequently asked questions

We answer your questions

What is the Markdown (.md) format?

Markdown is a plain text format that uses special characters to define structure (headings, lists, bold text, etc.). It is the preferred format for RAG pipelines because it preserves semantic hierarchy and is easily processable by AI models.

What types of files do you convert to Markdown?

We convert PST and MBOX email files, Word documents, Excel files, PDFs, and website content. We extract the text, clean it, and structure it in Markdown.

Why is Markdown the standard for RAG?

Markdown is lightweight, readable by humans and machines, preserves heading hierarchy (ideal for chunking), and is compatible with most embedding systems and vector databases.

Does the conversion to Markdown include data cleaning?

Yes. Before converting to Markdown, we remove signatures, HTML noise, headers, footers, and apply SHA-256 deduplication so your .md files are clean and duplicate-free.

Can I use .md files in ChatGPT or NotebookLM?

Yes. .md files are compatible with ChatGPT (file upload) and NotebookLM. You can use them to create custom assistants or interactive knowledge bases.

Start today

Ready to prepare your data for AI?

You have years of information accumulated in a department's mailbox, documents, and your website. We deliver everything clean, organized, and in .md. Your AI does the rest.

No impossible promises. Just well-done work. SHA-256 Deduplication ยท Private server processing ยท .md ready for RAG

๐Ÿ“ฌ Do you have PST or MBOX? We convert to Markdown with signature cleaning, HTML noise removal, and SHA-256 deduplication.