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Sırdaş
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PDF to Markdown for NotebookLM

Prepare your PDF for NotebookLM: clean Markdown, redacted personal data and a token count. All on your device.

Sent to servers: 0 BNothing left your device

About this tool

NotebookLM answers better with well-structured text: headings, lists and paragraphs, without repeated headers or stray page numbers. We turn your PDF into Markdown with that structure and estimate the tokens so you know whether it fits in one conversation.

Before you paste anything into NotebookLM, personal data is replaced with consistent placeholders ([NOMBRE_1], [DOCUMENTO_1]…): the same value always gets the same placeholder, so the model understands the document without knowing the people.

NotebookLM works with sources you upload to Google. Converting and anonymizing first lets you upload only the text you choose, never the original PDF.

What NotebookLM says about the files you upload

Quoted from its own pages, without summarising what they do not say. Policies change: open the source before you decide.

WhatWhat it saysSource
File limitspersonal accounts
«Each source can contain up to 500,000 words or up to 200MB for uploaded files»
support.google.com
File limitspersonal accounts
«You can include up to 50 sources (for Free users)»
support.google.com
Training on your datapersonal accounts
«The content in Gemini Notebook will not be used to directly train our foundational AI models, unless you choose to provide feedback»
support.google.com
Human reviewFeedback you choose to send
«Reviewed by specially trained teams»
support.google.com
RetentionFeedback you choose to send
«Retained for up to 3 years»
support.google.com

Checked on · Not found on its official pages: how to turn it off. We do not claim it.

When you do not need Sırdaş

If the document holds nobody's data and NotebookLM accepts the PDF, upload it directly: it is faster. Sırdaş is for PDFs with names, ID numbers or accounts, or when you do not want the whole file to leave your machine.

How it works

  1. 01

    Drop the PDF.

  2. 02

    Review the Markdown and the highlighted data.

  3. 03

    Copy (or download the .md) and paste it into NotebookLM.

Questions

Can't NotebookLM read the PDF directly?
Many assistants accept PDFs, but uploading sends the file to their servers. With Sırdaş the PDF never leaves your machine: you only share with NotebookLM the anonymized text you choose to paste.
Which data is hidden before pasting into NotebookLM?
ID and passport numbers, tax IDs, emails, phones, dates, addresses, cards, medical record numbers and labelled names (patient, landlord, signed by…). Detection is automatic and can miss items: review the result.
How do I know the token count?
We show an estimate (about 4 characters per token). It is indicative; each model counts slightly differently.

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