Data Cleaning

Clean signatures and HTML noise

We automatically remove signatures, footers, headers, HTML noise, and email threads from your emails. We leave only the clean text that your AI needs to learn and respond accurately.

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🧹 No signatures or noise 🔐 SHA-256 📄 .md ready for AI

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Clean emails for AI

✉️ Signature: "Best regards..."
📄 200‑word legal footer
🔗 Tracking pixels and HTML
📝 Clean text ready for AI

Remove noise · Keep only the content

The problem

Signatures and HTML noise poison your AI

Email signatures, legal footers, and HTML code repeat across countless messages. For your AI, this is noise that degrades accuracy, increases costs, and causes hallucinations.

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Repeated signatures

A typical 5‑line signature repeats in thousands of emails. Your AI processes the same information over and over. Signatures poison RAG systems because they are constantly repeated.

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HTML and tracking pixels

HTML code, scripts, and tracking pixels consume valuable tokens and can inject security risks into your prompts.

Key

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Legal footers

200‑word footers with GDPR, confidentiality, and legal notices can occupy up to 50% of an email's content.

What we clean

We remove all noise from your emails

We apply a systematic cleaning process that removes all elements that are not the main content of the message.

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Email signatures

We remove all types of signatures: "Best regards", "Sent from my iPhone", and any recurring contact block.

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Footers and headers

We remove legal footers, confidentiality notices, GDPR disclaimers, and automatic email headers.

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HTML and code

We remove HTML code, CSS, scripts, tracking pixels, and any non‑text code fragments.

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Email threads

We remove "re: re:" chains and previous conversation history that repeats.

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Irrelevant metadata

We remove metadata, routing information, and any element that does not add content.

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Duplicates with SHA-256

After cleaning, we apply SHA-256 deduplication to remove identical emails.

Our process

4 steps to clean your emails of signatures and HTML noise

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Extract

We extract the full text of emails (PST/MBOX), including all noise.

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Identify noise

We automatically detect signatures, footers, HTML, tracking pixels, and email threads.

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Remove noise

We remove all identified noise. A 10-email thread goes from 3,000 to just 400 tokens.

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Deliver

We deliver clean text in .md files ready for RAG, ChatGPT, and NotebookLM.

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

Benefits

Why clean signatures and HTML noise with AFR LOGIC

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-73% token costs

Removing signatures and HTML drastically reduces token consumption in AI APIs.

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More accurate AI

Without signatures poisoning RAG, your AI retrieves relevant information and avoids hallucinations.

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Total privacy

100% local processing. Your emails never pass through OpenAI, Google, or other external services.

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Faster processing

Fewer tokens = less processing time. Your AI pipeline runs faster.

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Improved security

Removing HTML and scripts reduces the risk of malicious prompt injection.

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Standard .md format

Clean text is delivered in .md, the preferred format for RAG, ChatGPT, and NotebookLM.

Explore our service ecosystem

Prepare data for RAG Convert to Markdown Organize company emails Extract text from emails Prepare data for AI Prepare data for ChatGPT Knowledge base for AI SHA-256 Deduplication Prepare data for NotebookLM Convert PST or MBOX to Markdown Data consulting for SMEs

Applications

Where does cleaning signatures and HTML noise apply?

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RAG

Remove signatures and HTML from your document corpus. Improve retrieval accuracy and reduce costs.

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ChatGPT / NotebookLM

Upload clean emails to ChatGPT or NotebookLM. The AI better understands the content and responds accurately.

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Knowledge base

Keep your AI knowledge base free of noise and always up‑to‑date.

Frequently asked questions

We answer your questions

What does it mean to clean email signatures and HTML noise?

Cleaning signatures and HTML noise involves automatically removing email signatures, footers, headers, HTML code, tracking pixels, email threads (re: re:), and any element that is not the main content of the message. This leaves only the clean text that your AI needs to learn and respond accurately.

Why is it important to clean email noise for AI?

AI models like RAG, ChatGPT, and NotebookLM lose accuracy when processing emails with signatures, HTML, and footers. A typical 10-email support thread can go from 3,000 tokens to just 400 tokens after cleaning, saving up to 73% in token costs and improving AI accuracy.

What types of noise do you remove from emails?

We remove email signatures, legal footers, headers, HTML code, tracking pixels, scripts, email threads (re: re:), irrelevant metadata, and any element that is not the main message content.

How do signatures affect RAG accuracy?

Signatures poison RAG systems because they repeat in countless emails, causing the AI to retrieve irrelevant information. By removing signatures, RAG accuracy improves significantly and hallucinations are reduced.

Where are the data processed for cleaning?

All processing is 100% local at our facilities in Bahía de Banderas, Nayarit, Mexico. Your data never leaves your infrastructure or is exposed to external APIs. Your emails never pass through OpenAI, Google, or other external services.

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 · Private server processing · .md ready for RAG

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