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Sırdaş
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PDF to Markdown for Ollama y modelos locales

Prepare your PDF for Ollama y modelos locales: clean Markdown, redacted personal data and a token count. All on your device.

Sent to servers: 0 BNothing left your device

About this tool

Ollama y modelos locales 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 Ollama y modelos locales, 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.

With a local model (Ollama, LM Studio) the text doesn't leave your machine either; anonymizing still keeps personal data out of histories and logs.

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 Ollama y modelos locales.

Questions

Can't Ollama y modelos locales 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 Ollama y modelos locales the anonymized text you choose to paste.
Which data is hidden before pasting into Ollama y modelos locales?
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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